Qualifications

7+ years of proven expertise in designing, building, and deploying AI/ML solutions at scale, with 1-2 years of production experience in Generative AI technologies

Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms

Advanced skills in prompt engineering with deep understanding of optimization techniques and best practices for LLM interactions

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Benefits

The hiring range for this position in Glendale, CA is $171,600 to $230,100 per year

The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered

Responsibilities

In this role, you will lead complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance

The Lead ML Engineer will report to the ML Engineering Manager

The Lead Machine Learning Engineer will design, develop, implement enterprise grade and robust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications

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More job highlights

Job description

At Disney Experiences Technology, our team creates world-class immersive and digital experiences for the Company’s vacation brands, Disney’s Parks and Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiativ

🚀 Fully Funded PhD Fellowship Opportunity in Artificial Intelligence

I am pleased to invite applications from highly motivated and research-oriented candidates for a Fully Funded PhD Fellowship in Artificial Intelligence at Bahria University, Islamabad (H-11 Campus) under my supervision.

## Research Theme

Privacy-Preserving Federated Soft Biometrics for Real-Time Covert Urban Surveillance

This cutting-edge research aims to develop intelligent, privacy-preserving surveillance systems capable of understanding human attributes and behaviors using non-intrusive soft biometric traits such as gait, clothing, posture, activity patterns, and crowd dynamics. The project integrates Artificial Intelligence, Computer Vision, Federated Learning, Edge Computing, Big Data Analytics, Incremental & Distributed Learning, and Human-Centric AI to address real-world challenges in smart cities, urban security, and responsible AI deployment.

## International Collaboration

The selected fellow will work with researchers from London Metropolitan University, UK, including Dr. Bilal Hassan (Senior Lecturer AI & Computer Vision), gaining exposure to international research, collaborative publications, and global academic networks.

🎓 Fellowship Benefits

✅ Full Tuition Fee Coverage (3 Years)

✅ Monthly Stipend of PKR 100,000 (3 Years)

✅ International Research Collaboration

✅ Access to Advanced AI Labs & HPC Facilities

✅ High-Impact Journal & Conference Publications

✅ Potential Research Exchange Opportunities

📅 Application Deadline: 18 June 2026

📝 Entry Test: 20 June 2026

🔗 Apply Online: https://lnkd.in/d4UvNzv8

📩 For further information:

Prof. Dr. Amanullah Yasin

Department of Computer Science

Bahria University, H-11 Campus, Islamabad

📧 amanyasin.h11@bahria.edu.pk

📱 +92 321 8040754

If you are passionate about advancing the frontiers of Artificial Intelligence and contributing to impactful research with societal relevance, I encourage you to apply and share this opportunity with potential candidates.

#PhD

#PhDFellowship

#ArtificialIntelligence

#SoftBiometrics

#ComputerVision

#FederatedLearning

#DeepLearning

#BigDataAnalytics

#HumanCentricAI

#SmartCities

#AIResearch

#DoctoralResearch

#BahriaUniversity

#LondonMetropolitanUniversity https://www.linkedin.com/posts/amanyasin\_phd-phdfellowship-artificialintelligence-share-7466356487649579008-SVqh/?utm\_source=share&utm\_medium=member\_desktop&rcm=ACoAAAiCQz0B4LcZIhZLJ7Cjes13PbDLpDfLbyw

Remote (Canada) with optional hybrid work for candidates located in Victoria, BC

Are you passionate about building production-grade AI systems that solve real enterprise challenges?

Do you want to architect intelligent, agentic applications that automate complex workflows for governments and businesses?

Do you thrive in an environment where your architecture decisions drive meaningful outcomes?

AOT Technologies is seeking an AI Architect to join our team and design and deliver scalable, production-grade agentic AI solutions for our enterprise and public sector clients.

## About AOT

We’re on a mission to help enterprises and governments bring their ideas to life.

As a boutique consulting firm, we partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Our expertise spans business process management, automation and AI, cloud, and application development. Our teams are collaborative, our leadership is transparent, and our work is impactful.

Alongside our consulting practice, we’re product builders: our flagship platform, formsflow.ai, is a low‑code solution that simplifies complex form creation, approvals, and workflow automation, helping organizations move faster without sacrificing quality or compliance. Under the SLED360 umbrella, we deliver products and services tailored to the unique needs of state and local governments and the education sector, from modern case management to digital services. Our product offerings reflect our entrepreneurial spirit and firsthand experience solving real-world problems with scalable, human‑centered technology.

As we expand into new markets and scale our solutions, there’s never been a better time to join AOT.

## Role and Responsibilities

As an AI Architect at AOT, you will lead the design and development of intelligent, agentic AI applications that power enterprise and government operations. You will work closely with clients and internal teams to translate complex business requirements into robust, cloud‑native AI architectures from initial design through production deployment.

You will:

Architect and develop production‑grade agentic AI applications using modern agent frameworks and orchestration tools

Design and implement tool calling/function calling patterns that integrate LLMs with LOB APIs, databases, enterprise applications, and external services

Lead LLM application architecture decisions, including prompt engineering, context management, RAG pipelines, vectorization, embeddings, and model evaluation

Manage memory and state in complex agentic systems across multi‑turn, multi‑agent workflows

Build and maintain scalable cloud infrastructure on Azure, AWS, or GCP, applying CI/CD, logging, monitoring, error handling, and secure deployment best practices

Collaborate with full‑stack teams to integrate AI capabilities into end‑to‑end solutions

Contribute to the ongoing evolution of AOT’s AI practice, tooling, and standards

## Who You Are

You are a hands‑on AI architect with deep expertise in building and shipping agentic AI systems. You bring strong engineering fundamentals, a cloud‑first mindset, and enthusiasm for pushing the boundaries of what’s possible with large language models and intelligent automation.

## Must-Have Skills

Hands‑on experience in architecting and developing production‑grade agentic AI applications

Experience with any of the code‑first agent frameworks and orchestration frameworks such as LangGraph, LangChain, Microsoft Agent Framework, Semantic Kernel, AutoGen, Google‑ADK, or similar

Experience with Prompt and Context Engineering principles and strategies

Strong hands‑on programming experience in Python or .NET Core or Java

Experience implementing tool calling/function calling with LLMs, which interacts with LOB APIs, databases, enterprise applications, and external tools

Strong understanding of memory and state management in agentic systems

Solid cloud architecture experience on Azure or AWS or GCP

Experience with production engineering practices such as CI/CD (Azure Devops or Github), logging, monitoring, testing, error handling, and secure deployment

Strong understanding of LLM application architecture, including prompts, context management, RAG, vectorization, embeddings, and evaluation

## Nice-to-Have

Experience with MCP, A2A, and tool/server integration patterns

Experience with Azure AI Foundry – Model Deployments, Foundry Projects, Governance

Experience with Docker, Kubernetes, serverless platforms, or cloud‑native deployment patterns

Certifications in AI, ML, or cloud

Any open‑source codebase contributions or references, e.g., Github or GitLab

Experience in the public sector, financial services, or healthcare

Any experience with data engineering using Databricks, Microsoft Fabric or Snowflake

## What We Offer

Salary range of $120K to $140K CAD, commensurate with experience

Flexible remote work environment with optional hybrid collaboration in Victoria, BC

Continuous learning and leadership development opportunities

Flexible schedules and generous paid time off

Competitive health, dental, and wellness benefits from Day 1

Employer‑sponsored deferred profit‑sharing plan

A collaborative, mission‑driven culture where your work matters

## Apply Now

If you?re passionate about designing and delivering intelligent AI systems and want to lead impactful work at the intersection of AI, cloud, and enterprise transformation, apply today – we’re hiring now and excited to meet you.

We strongly encourage candidates of all backgrounds, experiences, and identities to apply, even if they don’t meet 100% of the listed criteria. We are seeking candidates with diverse career experiences for this position. If you’re passionate about impacting the tech industry and eager to contribute your expertise, we invite you to apply!

Closing date: June 11, 2026

Caravel Group Limited

The Caravel Group, headquartered in Hong Kong, is a privately held and globally diversified group with operations across maritime services, dry bulk commodity trading, institutional investment management, and philanthropy.

Its maritime division includes Fleet Management Limited, the world’s second-largest ship management company with over 600 vessels under technical management and over 120 vessels under Newbuilding supervision. Caravel also owns the International Maritime Institute (IMI) in India, reinforcing its commitment to maritime talent development.

Through Caravel Asset Management, the Group invests globally across public markets and private equity, while its philanthropic arm, The Caravel Foundation, supports the education and well-being of underprivileged youth across Hong Kong, China, and India.

## Job Position Summary

Caravel is scaling AI as a core capability across the group and treating it as mission-critical software: secure, scalable and supportable. This is a highly autonomous, hands-on role in the CEO’s office focused on practical AI tools that improve executive productivity and decision speed.

As a Senior AI Platform Engineer, you will turn ambiguous executive problems into dependable software, AI-enabled workflows and decision-support tools. This is not a research or prompt-only role; it is about extracting data, building useful applications, applying sound analytics where helpful, and shipping production-grade solutions.

You will work closely with Fleet Management Limited (FML) Technology to align with production standards, governance and support expectations while delivering tangible value to the Group CEO.

## Key Role and Responsibilities

As the Senior AI Platform Engineer in the Office of the CEO, you will be the primary technical partner responsible for building practical AI tools and workflows that reduce information latency and support faster strategic decisions.

This is a builder role focused on turning high-level goals into working tools, prototypes and production-ready services using LLMs, agentic AI, data engineering and strong software discipline. It is not an architecture-only or research role; success is measured by reliable solutions that work day-to-day. Your day will typically include:

Agentic AI Development and Intelligent Data Extraction

• Design and build autonomous agents and data pipelines that pull, structure and synthesise information from internal systems, corporate data sources and relevant external platforms

• Build executive dashboards, reports and tools that combine data across functions and provide clear, low-latency insight for decision-making

Build production-grade AI and data solutions

• Design, build and maintain backend services, data pipelines and platform components that support AI workloads at scale

• Apply practical analytics, forecasting and light machine learning where they materially improve decision quality

• Implement shared platform capabilities such as environment provisioning, configuration, secrets management and deployment pipelines

• Apply strong engineering practices including version control, testing, CI/CD and clear documentation

• Ensure solutions align with FML technology standards, security requirements and architectural guardrails

Navigate prototypes and AI systems into production

• Build and operate MLOps / LLMOps pipelines for packaging, versioning, deployment, monitoring and rollback

• Rapidly prototype bespoke tools for the CEO, then mature successful ones into production services with clear ownership

• For Fleet use cases involving PARIS (in-house developed ERP), route changes through the right governance channels and transition productionised solutions into Fleet ownership; retain ownership of Caravel-specific tools

Anchor reliability, scalability, and support

• Work with FML Technology teams, including Cybersecurity and Operations, to define runbooks, support models and incident response processes

• Apply security-by-design principles, including access control, data protection and environment segregation

• Continuously improve platform robustness, performance and cost efficiency

## Relationship

## Internal

• Office of the CEO (Caravel) strategic priorities, prototyping needs, and delivery outcomes

• Fleet Management Limited Technology teams – standards, architecture, security, production readiness, and transition of Fleet/PARIS solutions into managed ownership

• Business, finance, research, and operational stakeholders across Caravel and Fleet for problem definition, data validation, and tool adoption

## External

• Cloud and AI platform vendors (AWS, Microsoft, Google Cloud)

• External data and information providers such as Bloomberg, Clarksons, S&P Global, and other specialist sources as required

## Job Experience, Functional Knowledge and Qualifications

## Essential

• 6+ years of hands-on experience as a software, platform, AI or data engineer, with evidence of delivering production-grade tools

• Hands-on experience with AI / LLM capabilities, including deploying and operating them in real systems, with familiarity in agent frameworks, RAG, vector stores and tool orchestration

• Strong experience building APIs, backend services and data pipelines across documents, analytics platforms, AI services and internal or external data sources

• Practical experience using analytics and light machine-learning techniques where useful, with strong Python skills for backend services, automation and data handling

• Practical cloud engineering experience (AWS, Azure or Google Cloud), including deploying and operating services in production

• Strong grounding in modern engineering practices including CI/CD, testing, version control, infrastructure automation and core MLOps / LLMOps disciplines

• Ability to build clear C-suite visualisations and interfaces that support real decision-making

• Experience designing systems for reliability, scalability, security and operational support when handling sensitive commercial or operational data

• Degree in Computer Science, Engineering, Data, Mathematics or a similar technical discipline

## Desirable

• Experience with MLOps / LLMOps tooling (e.g., MLflow, Kubeflow, model registries, evaluation pipelines)

• Familiarity with containerisation and orchestration (Docker, Kubernetes)

• Experience building tools for senior executives, trading, research, or other high-consequence decision environments

• Experience working in regulated or operationally critical environments and with specialist market or maritime data sources

The Caravel Group is committed to diversity, equity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by local laws.

• Spot AI is hiring a Product Manager for AI Ops Assistant, a new product area that turns video into AI-powered operating assistants for the physical world

• These are not clean, well-defined problems. You will work with customers who have messy workflows, real operational stakes, and no patience for technology that does not deliver

• You are responsible for discovering the highest-value problems, building the platform that solves them repeatedly, and creating the motion that turns one-off POCs into scalable products

• Spend significant time with customers, prospects, sales, solutions, and field teams to understand workflows, pain points, budgets, and success criteria

• Identify the highest-value use cases — not just what customers ask for, but what is actually worth building

• Turn bespoke one-off customer work into repeatable product capabilities that scale

• Identify the reusable primitives: agent templates, workflow configuration, reporting, evaluation tools, alerting, data models, and deployment playbooks

• Define a near-term roadmap that balances customer urgency, technical feasibility, repeatability, and revenue impact

• Create a clear path from customer discovery → paid POC → production rollout → scalable product motion

• Partner with sales, marketing, customer success, and solutions to define positioning, packaging, demo flows, pricing inputs, and proof points

• Build the playbooks that make AI Ops Assistant easy to sell, not just easy to use

## Benefits

• Long-term career growth and achievement opportunity

• Medical, dental and vision coverage

• 401K with employer match

• 14 weeks of paid parental leave

• Learning and development opportunities

• Remote flexibility

• Work from home stipend to set-up home office

• Unlimited PTO

## Posting Details

- Company: FORTE ICT

- Title: AI VP GTM Leader UK & Europe (Incredible Package & Role) Multinational IT Services Company

- Listing: FORTE ICT · Greater London, United Kingdom · via BeBee

- Posted: 3 days ago

- Job type: Full-time

- Credential note: No Degree Mentioned

## Job Description

### Ai VP GTM Leader

### Duties

· Market Strategy & Definition:

Define and shape our AI service offerings based on deep market analysis, competitive intelligence, and client needs.

· Evangelism & Relationship Building:

Act as a top evangelist for our AI practice, delivering presentations and thought leadership to C-level executives, industry events, and client meetings. You will build and nurture a network of key relationships with clients, partners, and industry influencers.

· Business Development:

Partner with our sales, AI Lab solutions, and delivery teams to identify and qualify new business opportunities. You will lead strategic conversations with clients, translate their business challenges into clear AI opportunities, and help close critical deals.

· Partnership Management:

Identify, build, and manage strategic partnerships with technology vendors (e.g., cloud providers) and other consulting firms to expand our market reach and capabilities.

· Team Leadership:

Mentor and guide the presales and solutions teams, including AI Solutions Leaders, to ensure alignment with the GTM strategy and to foster a culture of innovation and excellence.

· Performance Monitoring:

Define and track key performance indicators (KPIs) to measure the success of our GTM initiatives and provide regular reporting and strategic recommendations to senior leadership.

### Essential Requirements

·

### Experience

15+ years of experience in a senior GTM, business development, or strategic leadership role within the technology or consulting industry, with some focus on AI/ML.

· Market Acumen:

In-depth knowledge of the AI landscape, including current trends in machine learning, generative AI, and data platforms. A strong understanding of the consulting business model is essential.

· Executive Presence:

Exceptional communication, presentation, and negotiation skills. You must be comfortable and credible when engaging with C-suite and executive-level audiences.

· Strategic Thinking:

Proven ability to develop and execute complex GTM strategies that drive tangible revenue growth and market share.

· Network:

An established professional network within the technology and AI sectors is highly desirable.

· Leadership:

Demonstrated experience leading and inspiring high-performing teams in a dynamic, fast-paced environment.

## Posting Details

- Company: Slalom

- Title: Sr Director AI-Powered Consulting Excellence

- Listing: Slalom · Seattle, WA, United States · via LinkedIn

- Posted: 23 hours ago

- Job type: Full-time

## Job Highlights

### Qualifications

- AI Fluency — Demonstrated

- A track record of using AI to meaningfully change how people work and develop — in consulting, professional services, or a comparably complex, skills-intensive environment

- Significant experience in professional services — either as a consultant or deeply embedded in consulting delivery, operations, or capability

### Benefits

### Own and Advance the Program Portfolio

### Compensation and Benefits

- Slalom prides itself on helping team members thrive in their work and life

### Responsibilities

- Location: Open to Location (must be close to a Slalom office)

- As Senior Director of AI-Powered Consulting Excellence , you will define how Slalom's consultants learn, grow, and show up for clients in an AI-enabled world

- You will sit at the table with senior consulting leaders — shaping how Slalom's talent performs and wins in the market

## Job Description

Role: Senior Director of AI-Powered Consulting Excellence

Location: Open to Location (must be close to a Slalom office)

Reports to: VP, Talent and People Experience

### About the Opportunity

Slalom is building the consulting workforce of the future — and this role leads it.

As Senior Director of AI-Powered Consulting Excellence , you will define how Slalom's consultants learn, grow, and show up for clients in an AI-enabled world. This is a business-critical leadership role at the intersection of consulting excellence, AI-driven capability development, and enterprise people strategy. You will sit at the table with senior consulting leaders — shaping how Slalom's talent performs and wins in the market.

You will lead a team delivering AI-powered learning, consulting and capability development, onboarding and early career experiences, culture and belonging programs, and coaching ecosystems across Slalom's global workforce. The programs are high-impact and scaling. Your job is to keep them moving forward — accelerating adoption, deepening integration with client work, and continuously raising the bar on what great consulting capability looks like.

This role is part of the TAPE leadership team, reporting to the VP of Talent & People Experience, and sits alongside the heads of People Solutions, People Technology, Leadership Development, and Executive Talent Management.

### What You'll Do

### Lead AI-Enabled Consultant Development

• Set the enterprise vision for how AI transforms consulting capability — from how consultants learn to how they deliver

• Build AI-informed learning paths by capability and role, targeting the skills Slalom needs most to win and deliver in the market

• Drive the evolution from scaled AI awareness to embedded AI practice — ensuring consultants apply fluency on real engagements, not just in the classroom

• Use AI to modernize how development is designed, personalized, and delivered across a global workforce

### Define the Consultant of the Future

• Shape a clear, enterprise-wide point of view on the skills, mindsets, and commercial instincts that differentiate Slalom consultants — and keep that definition current as the market evolves

• Partner with senior consulting leaders to continuously refine what great consulting looks like at Slalom, and ensure those expectations are visible, reinforced, and integrated into how consultants develop and advance

• Leverage workforce analytics and market intelligence to inform capability investments — ensuring development stays ahead of where client demand is heading

• Build sponsorship and acceleration models that identify and fast-track high-trajectory talent into the capabilities Slalom needs most

### Embed Development in Consulting

• Act as a strategic partner to market and capability leaders — co-owning workforce performance and connecting development directly to client outcomes, delivery excellence, and commercial performance

• Ensure development is experienced in the flow of work — elevating coaching, mentorship, and sponsorship as core operating practices across the consulting organization

• Establish clear visibility into how development investments connect to performance, mobility, and growth

### Own and Advance the Program Portfolio

• Lead the People Experience portfolio: consulting and capability development, onboarding and early career, culture and belonging, coaching and assessment ecosystems, and change communications

• Champion experience-based, in-the-flow-of-work learning — with AI as the engine of personalization and scale

• Redesign the early career and first-year experience to produce client-ready consultants faster, with emphasis on problem framing, executive communication, and business judgment

• Continuously measure impact and evolve offerings in response to business performance and market signals

What We're Looking For

AI Fluency — Demonstrated

A track record of using AI to meaningfully change how people work and develop — in consulting, professional services, or a comparably complex, skills-intensive environment. Enough technical depth to lead credible conversations with practitioners, shape vendor decisions, and build AI into the fabric of how your function operates.

### Consulting Credibility

Significant experience in professional services — either as a consultant or deeply embedded in consulting delivery, operations, or capability. You understand utilization, pursuit cycles, client relationships, and delivery pressure. Senior consulting leaders trust your judgment because you've lived the work.

### Strategic & Analytical Acumen

Proven ability to connect talent strategy to business outcomes using workforce data, market insights, and commercial signals. You think in systems, design at enterprise scale, and make capability investment decisions that hold up under scrutiny.

### Executive Influence

A track record of shaping enterprise priorities through insight and credibility. You're comfortable in ambiguity, confident setting direction, and skilled at aligning stakeholders who have competing priorities and full calendars.

### People & Capability Leadership

Experience leading development functions where success is defined by workforce performance — not program metrics. You know how to design at scale, measure what matters, and build systems that survive contact with a large, distributed, client-facing organization.

### Why This Role Matters

Slalom's consulting workforce is its product. The quality, agility, and AI-readiness of our consultants is what wins clients, delivers outcomes, and differentiates Slalom in a rapidly evolving market. This role ensures that development is woven into how consultants work and grow every day — and that Slalom's people remain the reason clients keep coming back.

### About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

### Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for this role is $190,000- $240,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

We will accept applicants until June 4th, or until the position is filled.

We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.

### EEO and Accommodations

Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accomodationrequest@slalom.com if you require accommodations during the interview process.

## Posting Details

- Company: Robert Bosch

- Title: AI/ML Expert

- Listing: Robert Bosch · India · via Jobaaj

- Posted: 3 days ago

- ₹520K–₹920K a year

- Job type: Full-time

## Job Description

We are seeking a highly skilled and motivated AI/ML Researcher to design, develop, and deploy cutting-edge computer vision systems specifically for driver modeling applications. This role is pivotal in enhancing the safety, comfort, and personalization of our next-generation automotive interior monitoring products. The ideal candidate will combine strong research skills with practical engineering experience to translate innovation into production-ready, robust, and reliable driver modeling solutions for the automotive industry.

### Key Responsibilities

Research & Development for Driver Modeling: Conduct pioneering research to develop novel algorithms and models specifically tailored for critical driver modeling tasks, including:

- Domain-Aware Representation Learning: Investigate and develop effective methods for extracting robust, semantically meaningful, and interpretable features from multi-modal sensor data. This includes leveraging geometric, behavioral cues, alongside modern representation learning techniques, to capture essential aspects of driver state actions and behavior.

- Driver State and Behavior Analysis: Advanced detection of driver attributes like Distraction, Drowsiness (including micro-sleeps), Sleep onset, and emotional states. This involves developing sophisticated models to understand and predict complex human behavior, leveraging statistical methods, information theory, and probabilistic approaches.

- Driver Intent and Activity Recognition: Interpreting driver intent, head pose, gaze tracking, eye-gaze estimation, and recognizing specific activities (e.g., phone usage, eating, interacting with vehicle controls).

- 3D Interior Scene and Driver Interaction Understanding: Interpreting the drivers environment and their interactions within the vehicle cabin for a holistic understanding.

Algorithm Implementation & Optimization for Automotive: Design, train, and optimize deep learning models (e.g., CNNs, Transformers, Recurrent Neural Networks) and advanced traditional computer vision algorithms for core perception tasks central to driver modeling, utilizing multi-modal sensor data commonly found in automotive environments (e.g., RGB, IR, Depth cameras). Focus on computational efficiency and real-time performance suitable for embedded systems.

Automotive-Grade Data & Pipelines: Devise comprehensive data collection, annotation, and augmentation strategies specifically for diverse driver populations and real-world driving scenarios. Manage and curate large-scale, high-quality automotive datasets for model training, validation, and benchmarking.Stay abreast of the latest advancements in AI/ML and computer vision research relevant to driver modeling, contributing to the companys IP through patents or publications.

### Required Qualifications & Skills

Education: Masters or PhD in AI/ML, Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience with a strong focus on computer vision for automotive applications.

Technical Proficiency: Strong programming skills in Python and C, with experience in optimizing code for performance.

ML/CV Expertise: Deep understanding of computer vision fundamentals, image processing, and proven experience with both traditional computer vision techniques (e.g., feature descriptors, geometric vision, optical flow) and machine learning/deep learning frameworks (such as PyTorch and TensorFlow). Ability to intelligently combine these approaches for robust solutions.

### Hands-on Driver Modeling

Experience: Demonstrable hands-on experience building, training, and deploying perception systems specifically for driver modeling, human-centric AI, or related automotive interior sensing applications. This includes academic projects, industry experience, or contributions to open-source initiatives focused on driver understanding.

Core Concepts: Solid grasp of mathematical, statistical, and information theory concepts, including linear algebra, calculus, probability theory, stochastic processes, and concepts like entropy. This theoretical foundation is essential for advanced algorithm development, particularly in modeling complex human behavior and uncertainty.

Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges inherent in developing safety-critical automotive systems.

### Preferred Qualifications

Publications: Publications at top-tier AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS) related to human pose estimation, facial analysis, gaze tracking, activity recognition, feature engineering for behavioral cues, or driver behavior analysis.

Multi-modal Sensor Fusion: Experience with multi-modal sensor fusion techniques (e.g., camera, RGB/IR, radar) for robust perception in automotive environments.

Embedded Systems/Optimization: Experience with model compression, quantization, and deployment on embedded automotive hardware or resource-constrained devices.

Real-time Systems: Experience designing and optimizing algorithms for real-time performance in production environments.

### Qualifications

B-Tech / M.TechAdditional Information

15

## Posting Details

- Company: EY Société D'Avocats

- Title: Senior Consultant AI Software Engineer- AI Hub Dubai

- Listing: EY Société D'Avocats · Dubai - United Arab Emirates · via BeBee

- Posted: 3 days ago

- Job type: Full-time

## Job Description

### Overview

We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data & AI team in the AI Hub you will help drive analytics decision-making and innovation contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people clients and communities.

### The Opportunity

We are seeking a Senior AI Software Engineer to join our AI Hub where we rapidly deliver prototypes proof‑of‑concepts (PoCs) and minimum viable products (MVPs) as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front‑end and back‑end development supporting the creation of dynamic AI‑driven products such as GenAI‑enabled web applications, use‑case marketplaces and diagnostic tools. You will be responsible for designing, building and optimizing end‑to‑end solutions translating business requirements into robust, scalable, secure and accessible web experiences suitable for enterprise production environments.

### Core Requirements

• 5 years of professional experience delivering enterprise‑grade software solutions across backend and frontend systems.

• Strong hands‑on experience building secure, scalable and maintainable APIs using Python and with frameworks such as FastAPI and Fastify.

• Solid frontend engineering experience with TypeScript, React and following enterprise UI and accessibility standards.

• Proven experience containerising, deploying and operating applications in production using Docker and Kubernetes with a strong understanding of reliability and scalability.

• Experience designing, implementing and maintaining CI/CD pipelines using Jenkins, GitHub Actions or Azure DevOps with automated testing and quality gates.

## Posting Details

- Company: IntelligentJobMove

- Title: Agentic AI Engineer

- Listing: IntelligentJobMove · Dubai - United Arab Emirates · via BeBee

- Posted: 19 hours ago

- Job type: Full-time

## Job Description

Company Description IntelligentJobMove (IJMove) is transforming talent acquisition across the Middle East and Africa (MEA) through an AI-first approach that connects human potential with organizational growth. The platform removes friction from hiring by combining AI-driven precision with operational simplicity for both professionals and employers.

Job seekers benefit from a “zero-effort” job search, where uploaded CVs are matched to roles based on capabilities and potential rather than just past titles. Organizations gain access to curated talent pools via transparent pay-per-CV and subscription models that improve efficiency and cost control. IJMove is building a faster, fairer, and more human-centric future of work in the MEA region.

Role Description The Agentic AI Engineer will design, develop, and deploy agentic AI systems that power IJMove’s intelligent matching and workflow automation capabilities. This full-time hybrid role is based in Dubai, with flexibility for partial work from home.

Day-to-day responsibilities include building and integrating AI agents that leverage large language models and other machine learning techniques to enhance job matching, candidate profiling, personalization, and recruiter workflows. The role involves collaborating with product managers and designers to translate business needs into scalable AI solutions, as well as working closely with software engineers to integrate models into production systems and APIs. The Agentic AI Engineer will also monitor model performance, run experiments, implement feedback loops, and ensure responsible, transparent, and bias-aware AI behavior aligned with regional and global standards.

### Qualifications

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and production-grade coding (e.g., Python, Java, or similar).

• Proficiency in Neural Networks and Pattern Recognition, with experience training, fine-tuning, and evaluating modern deep learning models.

• Hands-on expertise in Natural Language Processing (NLP), preferably with large language models, information extraction, semantic search, and conversational AI.

• Experience designing or implementing agentic AI systems (e.g., tool-using agents, retrieval-augmented generation, multi-agent workflows) in real-world products.

• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices for deployment, monitoring, and continuous improvement of AI models.

• Ability to work in a hybrid environment in Dubai, collaborating effectively with cross-functional and multicultural teams.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.

• Experience in recruitment, HR tech, or talent platforms, and awareness of fairness, privacy, and ethical AI considerations, is a strong plus.

## Posting Details

- Company: Smart Energy Water

- Title: AI Platform Success Manager

- Listing: Smart Energy Water · Toronto, ON · via Talent.com

- Posted: 19 hours ago

- Job type: Full-time

## Job Description

SEW.ai leading AI platforms that empower and engage billions of customers and workforce to global Power, Water, Gas, Solar and eMobility industry. As the leading #1 SEW.ai platform provide world‑class Customer Experience (CX), Workforce Experience (WX), Payment Experience (PX), Intelligent Experience (iX), Business Experience (BX) and Grid Experience (GX) platforms—helping billions of people Engage, Empower, and Educate themselves to save energy and water.

Searching for your dream job? We are a true global company that values building meaningful relationships and maintaining an enthusiastic work environment while fostering innovation and creativity. At SEW.ai, we believe that everyone contributes to our success, and in return, we provide opportunities for them to learn new skills and build a rewarding professional career.

### Quick Highlights

• 450+ global clients across the U.S., Europe, Canada, Australia, the Middle East, and Asia Pacific

• 1,550+ employees and growing rapidly

• Millions of users engaged monthly

• 150+ industry awards and global recognition from Forbes, Wall Street Journal, and LA Times

### Summary

In this role, you will be responsible for building and maintaining innovation mindset with deep problem‑solving trusted partner relationship with SEW.ai clients, helping them understand our current and future platform / product capabilities, and supporting them through their journey for next 5-10 years. As AI Platform Success Manager, you will key platform growth owner and point of contact for SEW.ai clients. To be successful in this role, you must have an unwavering commitment to client innovation, service, excellent communication skills, and an aptitude for problem solving. Demonstrated experience in a platform growth / sales environment is also necessary. A successful AI Platform Success Manager should be a team player and have an upbeat, positive outlook.

### Responsibilities

• Having your finger on the pulse of your client SEW.ai platform operations and business strategy measuring innovation, satisfaction, asking about challenges, and offering help when needed

• Working with your SEW.ai clients with a strong mindset to understand and optimize their business processes and identify areas of opportunity to increase sales, reduce costs and maximize efficiency. Foster customer loyalty by frequently visiting clients and participating in industry events

• Monitoring clients’ key performance metrics and taking the necessary actions to improve them

• Drive growth by working closely with customers' technical and business executive leadership teams to deeply understand their business and technical objectives and execute strategic plans

• Manage SEW.ai and client solution improvements

• Providing thought leadership, innovation, and having the confidence to challenge businessstrategy with your client

### Requirements

• Minimum 5+ years of relevant work experience in a SaaS Customer Success Management or Account Management role operating or supporting clients

• Experience in having full client responsibility, developing client accounts, managing platform roadmaps, and actively pursuing cross‑sale and upsell opportunities

• Industry experience working in the Payments sector; SaaS start‑up experience preferred

• Able to influence business strategy and communicate effectively at all levels

• Able to understand client challenges from business and Technology perspectives

• Able to independently develop client accounts and create more value for our clients

"SEW is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law."

Enterprise AI Agent Architect

Zero to AI Engineer