**Listed compensation:** US$175K–US$188K a year

Insight Global is seeking a ML Engineer for a top autonomous systems and defense technology client. This engineer will develop and deploy machine learning algorithms focused on detecting and classifying drone threats within Counter-UAS systems. The role combines AI/ML, RF signal processing, DSP, deep learning, and MLOps, with extensive work on large-scale RF datasets, spectrogram processing, data pipelines, and workflow automation. The ideal candidate brings strong Python and DSP capabilities and enjoys translating complex, real-world signal data into high-impact detection solutions.
- Develop, apply, and evaluate ML algorithms for drone-threat detection and signal-processing problems
- Work with large-scale RF datasets for model training and testing
- Apply DSP techniques to denoise and precondition spectrogram data
- Build and improve data-processing pipelines
- Identify opportunities to automate manual data workflows
- Analyze real-world results to determine root causes and statistical trends
- Improve data quality and detection/model performance
- Partner with AI/ML, software engineering, and field-test teams
- Support R&D efforts involving signal processing, statistics, deep learning, and MLOps

## Required Qualifications
- Master’s degree in Machine Learning, Computer Science, Applied Mathematics, or similar field
- 3-5 years of relevant experience
- Strong Digital Signal Processing (DSP) foundation
- Professional experience with machine learning, statistical signal processing, or pattern recognition
- Strong Python skills
- Experience handling large, complex datasets
- Ability to analyze real-world data, statistical trends, and model results
- Strong written and verbal communication skills

## Preferred Qualifications
- PyTorch or comparable deep learning framework experience
- MATLAB experience
- MLOps experience across model training, versioning, and deployment
- Spectral analysis experience
- Adaptive filtering experience
- Detection/estimation theory knowledge
- Counter-UAS experience
- Radar, Electronic Warfare (EW), or defense RF systems experience
- Proven ability to develop creative data-processing or workflow automation solutions

## Company Description

We scale dexterous robot policies by learning from human video. Our team of researchers and engineers comes from Meta, Google, and CMU. It includes a SIGGRAPH Test-of-Time Award winner, with many papers at SIGGRAPH, CVPR, ECCV, RSS and IROS. Double-digit millions raised, led by a tier-one seed fund. In person in Redwood City.

## Role Description

Dexterous Manipulation. You own how our robots get good with their hands, from the data we collect to the policy that runs on the robot. You decide what to capture, how to teleoperate, and how to learn from it, and you measure success on real hardware.

## You will
- Build and run our teleoperation and data collection: gloves, hand and wrist tracking, low-latency control of dexterous hands on real arms.
- Retarget human hand motion to robot hands, and decide which demonstrations are worth collecting.
- Train and post-train dexterous policies (imitation learning, diffusion or flow-matching policies, VLAs, RL fine-tuning) and deploy them on the robot.
- Close the loop: find where the policy fails on hardware, trace it back to data or model, and fix it.
- Work with our human modeling and world model teams to turn human video into robot skills.

Your first project: take one contact-rich bimanual task from first teleop demo to a policy that succeeds reliably on our real dexterous hands, with the numbers to show it.

You work with real bimanual arms, dexterous hands and teleoperation rigs. Compute is a cluster of B300s. Cash is $220K to $300K depending on experience, plus founding-tier equity. O-1 and H-1B sponsorship.

## Qualifications
- You have trained a manipulation policy that works on a real robot, and can show the success rate.
- Hands-on with dexterous hands or high-DoF manipulation, not only parallel grippers.
- You have built or deeply used a teleoperation or data collection system, and know what makes demonstrations good or bad.
- You have carried a full loop alone: data, training, deployment, evaluation.
- You want the robot to do something hard with its hands.

## Nice to have
- Gloves, motion capture, or VR teleop (MANUS, Rokoko, Vive, Quest, Apple Vision Pro).
- Tactile sensing, force control, or contact-rich in-hand manipulation.
- Human-to-robot retargeting, or learning from human video.
- Sim-to-real for dexterous hands (Isaac, MuJoCo).
- Using LLMs or agents to scale data, evaluation, or research loops. (Pure RAG or chatbot work is less relevant here.)

A PhD helps but is not required. We care most about what you have built.

**Listed compensation:** HK$900K–HK$1.3M a year

Senior Manager - AI Governance (Ref: 2600010P)
## Background

MTR Corporation is expanding its AI Centre of Excellence (AI CoE) to accelerate and scale the adoption of Artificial Intelligence (AI), including Generative AI, across the Corporation. The AI CoE brings together AI governance, engineering and platform capabilities, solution development and delivery expertise to enable business teams to turn AI opportunities into measurable business value. We are looking for passionate professionals to join our growing team and help shape how MTR adopts AI responsibly, securely and at scale.
## Responsibilities
- Lead and oversee the Corporation's AI governance framework, including policies, standards, risk management, controls, and Responsible AI requirements
- Establish and continuously enhance the Responsible AI programme to support secure, ethical, and compliant AI adoption across the Corporation
- Drive AI governance transformation and automation, streamline governance processes and implementing scalable governance capabilities with business and technology stakeholders
- Partner with internal stakeholders to define governance requirements, security controls and operational guardrails for AI and Agentic AI solutions
- Lead enterprise AI governance, risk, and security initiatives, oversee governance processes and drive continuous improvement across the AI portfolio
- Provide governance insights, risk reporting and recommendations to senior management to support strategic decision-making
- Manage cross-functional stakeholder engagement across Business Units and Functions, to align governance priorities, regulatory obligations, and risk treatment strategies
- Develop organisational AI governance capability through mentoring, best practice development, and fostering a culture of Responsible AI
## Requirements
- Degree in Computer Science / Information Systems / Data Science / Engineering / Cybersecurity / Risk Management / Business Technology or a related discipline
- A minimum of 12 years’ experience in cybersecurity, AI governance, technology risk management, technology consulting, or related disciplines, of which 5 years should be at managerial level
- Possession of a professional certification in AI governance, information security, privacy, risk management, or related disciplines is preferred
- Solid experience in partnering with senior executives in large and complex enterprise environments and providing strategic advisory on emerging technology risks
- Strong analytical, problem-solving, stakeholder management and communication skills
- Proficiency in both written and spoken English and Chinese

One of our international clients is looking for a Management Accountant to lead a finance team and run an AI-assisted accounting function.

This role suits an accountant who already uses Claude and MCP connectors in daily work, and who wants to build a finance function where AI handles routine processing and people focus on analysis, control and decisions. The role also works with our development team to automate finance workflows in the Ecosystem portal.

Working hours: Online hours are to be 8am NZ to 2pm NZ. The remainder of the hours can be worked within the applicant's own timezone.

## Team leadership
- Lead, coach and set objectives for three finance staff, including workload planning and performance reviews.
- Train the team to use Claude and MCP connectors safely and effectively in their daily work.

## Management accounting and reporting
- Own the month-end close and produce monthly management accounts, P&L, balance sheet and cash flow.
- Prepare and present financial reports, dashboards and commentary to the Senior Management Team.
- Lead annual budgeting, rolling forecasts and variance analysis.
- Track recurring-revenue and customer metrics (MRR, churn, revenue per site, customer profitability).

## AI-assisted finance operations
- Design and run accounting workflows that use Claude with the Xero MCP connector and Microsoft 365 connectors (Outlook, Teams, SharePoint).
- Automate routine tasks such as invoice review, aged receivables follow-up, reconciliations and report drafting.
- Work with Netfone's development team on the Ecosystem automation project: identify manual, error-prone finance workflows, define requirements, and test and sign off the automated processes.
- Set controls for AI use: human review of outputs, access permissions, audit trails and data privacy.

## Credit management
- Set and apply credit policy, credit limits and customer credit assessments.
- Analyse aged receivables and refer overdue accounts to Netfone's external debt management company, Under Control.
- Manage the relationship with Under Control, track referred debts and recoveries, and report on outcomes.
- Report on debtor days, bad-debt risk and cash collection to senior management.

## Contract management
- Maintain the register of customer and supplier contracts, including renewal dates, pricing and billing terms.
- Make sure billing in Xero matches contracted terms and service packs.
- Resolve customer billing queries promptly, correct errors and fix their root cause.
- Review contract terms for financial risk and support negotiations.

## Compliance and control
- Manage GST and other tax obligations across the countries Netfone operates in.
- Maintain internal controls and prepare for the annual audit.
- Work with external accountants and auditors.

## ESSENTIAL REQUIREMENTS
- Xero Advisor Certification (current).
- Degree in accounting or finance, and a recognised professional qualification (CA ANZ, CPA, CIMA or equivalent), or close to completing one.
- At least 5 years in management accounting, with at least 2 years leading a team.
- Advanced, hands-on skills with MCP (Model Context Protocol) connectors, including connecting AI tools to accounting and business systems.
- Proven expertise using Claude for accounting work, demonstrated at interview.
- Experience in contract management, including tracking terms, renewals and billing alignment.
- Experience in credit management: credit assessment, collections, and debtor analysis and reporting.
- Track record of reporting to and presenting to senior management.
- Strong Excel skills and comfort working with financial data.
- Fluent written and spoken English.
- Very high level of attention to detail

## DESIRABLE
- Experience working in the Asia Pacific region, in English-speaking roles.
- Multi-entity and multi-currency accounting (NZD and AUD).
- Experience in a SaaS, telecommunications or technology business with subscription billing.
- Knowledge of New Zealand and Australian tax and GST rules.
- Experience with Microsoft 365 and Claude connectors for Outlook, Teams and SharePoint.
- Experience introducing new systems or automation into a finance team.

## PERSONAL ATTRIBUTES
- High attention to detail, and checks AI output rather than trusting it blindly.
- Clear communicator who can explain numbers to non-finance managers.
- Curious about new tools and keen to improve processes.
- Handles confidential financial and customer data with integrity.

Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.

## About the opportunity

We are seeking detail-oriented English speakers to review AI-generated media. Roleplay live conversations with an AI voice model and score each exchange, compare generated images and videos to judge which follows the prompt better, and explain in writing what looked or sounded wrong, all remotely and on your own schedule.

At Outlier, your expertise helps shape how advanced AI systems reason, learn, and improve. Through Outlier’s evaluation and feedback loop, your work helps turn frontier research into AI that performs better in the real world.

## Responsibilities
- Holding a live, scenario-based conversation in English with AI voice models, then ranking how natural, useful, and clear each one sounded
- Comparing pairs of AI-generated images and videos and judging which one better follows the prompt
- Inspecting outputs closely, including zooming in and replaying, to spot problems like distorted anatomy, flickering or unnatural motion, text errors, and audio that doesn't match the video
- Rating each output across dimensions like adherence, quality, and realism, then writing a specific explanation in English that points to what you saw or heard

## Common tasks
- Image evaluations: Compare two AI-generated images for the same text prompt and pick the better one, judging how well each follows the instructions, visual quality, and visible AI artifacts. Some tasks rank edited images against the original.
- Video evaluations: Rank AI-generated videos against a text prompt, or edited videos against their source clip.
- Video caption labeling: Label first-person videos of people or robots doing hands-on tasks. Contributors split each clip into individual actions and write precise captions, starting from an AI draft and correcting it.
- Audio and voice evaluations: Rate AI-generated speech on naturalness, pronunciation, and how closely it matches a target voice. Some tasks require recording a short voice explanation of the choice.

## Ideal qualifications
- Fluent English speaker with strong, clear written communication and comfortable with natural, everyday conversational speech
- Strong attention to detail, with the patience to look and listen closely, and to replay or zoom in when something seems off
- Comfortable thinking on your feet and talking through realistic situations in a natural, conversational way
- Experience writing short, evidence-based explanations or reviews
- Comfortable making a clear decision when both options have flaws
- Nice to have: Pursuing or holding a Bachelor's degree or above

## What you'll need to sign up
- A valid ID and mobile phone from your country of residence
- An up-to-date resume that highlights your expertise
- A LinkedIn profile showing your educational background and work experience

## Payment
- Project work: Earn up to USD $15 per hour
- Additional incentives: On average, contributors earn an additional 7.5% through Missions — Outlier’s version of surge pricing. The top quartile boosts their earnings by an average of 11%.
- Payment schedule: Payments are processed weekly on Tuesdays, covering tasks completed during the previous pay period (Tuesday to Monday at midnight UTC), via PayPal, AirTM, or ACH transfer.
- Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.

## Why join Outlier
- Work flexibly from anywhere, anytime, with no minimum hours. Set your own schedule, whether that's five or 40+ hours per week.
- Free access to leading LLMs, worth $200+/month
- Join 900K+ Outlier Experts across 52 countries, with $600M+ paid to experts
- Collaborate with experts in your field to push the boundaries of pre-release models

## How to apply
- Create an account on Outlier
- Upload your resume
- Upload your valid ID
- Start earning by completing tasks

Currently accepting applicants from: Australia, Canada, Ireland, New Zealand, United Kingdom, and United States.

Please note: This is a 1099 contract opportunity on the Outlier.ai platform. You will join Outlier as a freelancer/independent contractor, not an employee. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.

**Listed compensation:** US$156K–US$281K a year

## Description

AI has the potential to transform how insurers bring new products to market. Help us make sure it does. US Data Science (USDS) is seeking a Director level data science leader to build and lead a new team that will use advanced AI to bring our pricing programs to market faster. The team will build state-of-the-art evaluations for AI and agentic systems. Those evaluations tell us how much value the AI delivers, how accurate it is, and what the risk is when it gets something wrong, so we can move high-value applications into production with confidence. This is a new, highly visible team, and its work will shape how AI is used in USRM's core pricing work. The ideal candidate is a strong people leader with deep, hands-on experience building and deploying insurance pricing models, and hands-on experience putting modern AI and LLMs to work.

This role may have in-office requirements depending on candidate location
- Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.

## Responsibilities
- Build and lead a team of senior data scientists, each partnered with one of USRM's lines of business (Property & Specialty, Auto, and Small Commercial) and working from a shared evaluation strategy.
- Set the strategy and roadmap for how USDS uses AI to accelerate pricing program rollout, focused on the use cases with the highest value and risk.
- Lead the design of state-of-the-art AI and agentic evaluations. Define accuracy metrics and ground truth, design statistical tests and experiments, and match the depth of evaluation to the stakes of each use case.
- Measure the value of AI applications, including effort reduced, errors avoided, and time to market gained, and help leaders decide what to scale.
- Partner with the data science, technology, and pricing delivery teams building AI to bring evaluation in early and help high-value applications reach production.
- Support evaluations of AI vendors and third-party solutions, giving an objective, data-science-based assessment of what they can deliver.

## The ideal candidate will have
- Hands-on experience building and deploying insurance pricing models, with an end-to-end understanding of the pricing lifecycle from model build through filing and implementation.
- Proven experience leading and developing high-performing technical teams.
- Exceptional stakeholder management, with a track record of driving outcomes across teams you do not own and explaining complex work clearly to senior leaders.
- Deep expertise in model evaluation, statistics, and experimental design.
- Strong, recent hands-on experience with modern LLMs, including but not limited to agentic coding, building LLMs into applications, and RAG.
- Experience evaluating generative AI or agentic systems is strongly preferred.
- Hands-on technical skills (for example, Python) strong enough to prototype evaluation tooling and credibly review the work of engineering teams.
- Demonstrated ability to turn data science and AI strategy into a prioritized roadmap.
- Bachelor's degree in a quantitative field with 10+ years of related experience within insurance, actuarial, data science, or technology preferred, or a Master's degree plus 8 years of relevant experience.
- Resilient, curious, acts in service of the best answer, holds themselves to a high standard and wants to be around others who do the same.

## Qualifications
- Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of predictive toolset, to include highly technical tools.
- Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts.
- Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups.
- Presents to senior or functional department leaders or executives.
- Broad knowledge of business drivers and market context.
- Has a value driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience.
- Insurance or financial services industry experience preferred.

## About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

## Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco

**Listed compensation:** US$175–US$300 an hour

Equity Research Expert

Role Type: Contractor

Location: Remote

We are seeking experienced Equity Research Experts to contribute to a customer project focused on advanced financial analysis, modeling, earnings analysis, and sector insights.

You'll apply your expertise to evaluate real-world equity research content and help train next-generation AI systems. No prior AI experience is required.

## Scope of Work
- Review and evaluate equity research datasets for accuracy and relevance.
- Analyze earnings reports, estimate revisions, and peer benchmarking.
- Evaluate company financial models, including revenue, margins, cash flow, and valuation drivers.
- Prepare concise research summaries and event-driven updates.
- Develop and articulate investment theses using quantitative and qualitative analysis.
- Identify industry trends, sector-specific metrics, and company catalysts.
- Provide feedback to improve the quality and accuracy of research-related content.

## Preferred Qualifications
- Extensive experience as a Sell-Side Research Associate, Research Analyst, VP, or Director with ownership of company models and research.
- Experience covering multiple companies across several earnings cycles.
- Strong understanding of business drivers, financial performance, and valuation.
- Deep expertise in at least one sector, such as banking, insurance, biotech, technology, or other industries.
- Strong written and verbal communication skills.
- Proven experience in earnings analysis, peer benchmarking, valuation, and event-driven research.
- Experience developing and defending investment theses and research views.

## About the role

The Agentic AI Data Science Intern will work on generative and agentic AI solutions. You will support model experimentation, integration, and research across business use cases at ICE. This is a full-time, paid internship for Summer 2027.

## What you'll do
- Advance generative and agentic AI solutions through rapid prototyping, model experimentation, fine-tuning, and evaluation.
- Integrate AI solutions with enterprise applications and data platforms.
- Develop applications using LLMs, embeddings, and prompt engineering.
- Research and experiment with NLP, retrieval systems, knowledge graphs, and multi-agent systems.
- Document your findings and participate in agile workflows.
- Take on additional duties and project tasks as assigned.

## What you'll need
- Currently enrolled in an accredited university degree program, advancing to your junior year.
- Pursuing a degree in computer science, data science, AI/ML, or a related field.
- Familiarity with Python.
- Exposure to tools like PyTorch, TensorFlow, or FastAPI is a plus.
- Experience with NLP/NLU concepts, small language models, vector databases, and retrieval systems like GraphRAG.
- Interest in agentic AI, multi-agent systems, Model Context Protocol (MCP), agent-to-agent (A2A) communication, ontologies, and knowledge graphs.
- Comfort using Git/GitHub and development environments like Jupyter Notebooks or VS Code.
- Strong communication skills and a willingness to learn and experiment.

## Location & details
- Location: Jacksonville, Florida.
- Modality: On-site, full-time.
- Schedule options: May 24, 2027 to August 6, 2027 OR June 7, 2027 to August 20, 2027.
- Availability: You must be available to work five days a week at the Jacksonville office for the duration of the chosen program schedule.

At Workada, we are dedicated to enhancing the technology that people rely on every day. As an AI Data Evaluation Specialist, you will play a crucial role in making advanced systems more accurate and consistent. Your contributions will directly impact the performance of these technologies.

## What You'll Be Doing
- Evaluating outputs from AI models—including text, images, video, and documents—against comprehensive criteria.
- Assessing quality, identifying errors and inconsistencies, and providing clear, well-reasoned justifications for your evaluations.
- Ensuring every evaluation you complete helps improve these systems for real-world applications.

## Who We're Looking For
- Individuals with strong writing skills, critical thinking abilities, and a knack for backing up decisions with solid explanations.
- People with backgrounds in precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or technical writing.
- Those who demonstrate strong judgment, detail-oriented checks, and adherence to quality.
- Self-sufficient individuals who can follow detailed written guidelines.

## Qualifications
- Bachelor's degree completed or in progress.
- Excellent command of the English language—clear, precise, and well-organized writing skills.
- Strong attention to detail.
- A minimum of 1 year in a role focused on evaluating or reviewing work against standards—examples include UI/UX design, graphic design, photography, video production, editorial, research, QA, or technical writing. Equivalent experience may be considered.
- Candidates must be based in the US or Canada.

## Technical Requirements
- A desktop or laptop running Windows 10 (or later) or a recent macOS.
- Chromebooks, Linux-based systems, and tablets (e.g., iPads, Surface in tablet mode) are not supported.
- A stable, high-speed internet connection (minimum 25 Mbps download / 5 Mbps upload).

## What We Offer
- Remote and flexible contract work.
- Comprehensive guidelines and training.
- Performance feedback and opportunities for professional growth.
- A mission-driven team focused on accuracy and quality.

Many of our top performers have transitioned into roles where they guide and support others, with compensation reflecting their increased responsibilities. These opportunities depend on performance and the evolving needs of our projects, and we are eager to support individuals who are a great fit.

If you're ready to make a difference, apply now to join our team and help build the data foundation for better technology. Workada is an Equal Opportunity Employer, and we welcome applicants from diverse backgrounds.

Join Deloitte's SAP practice and build a career at the forefront of business transformation, where innovation, industry insight, and leading technology come together to solve complex challenges. You'll work with dynamic teams and leading organizations to modernize core processes, enable digital transformation, and help clients unlock lasting value through SAP-enabled solutions.

In this SAP AI Transformation role, you'll contribute to Agentic ERP transformations that help clients advance toward the autonomous enterprise. Combining SAP expertise with AI-enabled delivery approaches, cross-functional collaboration, and industry insight, you'll help address complex business challenges and create measurable client impact.

Recruiting for this role ends on 01/15/2027.

## Work you'll do

As a Senior Consultant in Deloitte's SAP practice, with a focus on SAP Data and Analytics, you will work side by side with functional and technical client team members to rapidly prototype and deliver high-impact solutions that support Agentic ERP transformations. With Deloitte Ascend™, you'll leverage AI accelerators and SAP capabilities to help clients modernize business processes and advance toward the autonomous enterprise.

This role requires a highly motivated professional who moves with speed and precision, builds practical solutions, and engages confidently with senior stakeholders and delivery teams to help generate measurable business impact.
- Lead SAP Data & Analytics workstreams, coordinating milestones, dependencies, risks, team responsibilities, and quality across delivery teams.
- Translate complex business questions into data models, semantic layers, reusable data products, and analytics solutions.
- Facilitate client workshops that translate business needs into practical, scalable designs and validate insights with senior stakeholders.
- Design and deliver solutions using SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud, SAP BW/4HANA, S/4HANA embedded analytics, and SAP HANA Cloud.
- Build repeatable patterns for data acquisition, integration, transformation, modeling, reporting, and performance management across SAP and non-SAP environments.
- Analyze data to identify meaningful business insights, improve data quality and process performance, and support informed client decisions.
- Coach team members, contribute to proposals and reusable assets, and help advance Deloitte's SAP Data & Analytics capabilities.

## A successful candidate would possess these skills
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others

## The team

Deloitte's SAP practice helps clients design, implement, and sustain SAP-enabled transformations to enable an Autonomous Enterprise. Our teams combine industry knowledge, functional experience, and technology capabilities to support first-time implementations, business-led enhancements, and large-scale SAP S/4HANA programs.

Professionals in the practice work with leading organizations across industries to modernize operations, improve process performance, and unlock value through cloud, automation, analytics, artificial intelligence, and machine learning.

## Required
- Bachelor's degree; or an associate degree and 6+ years of SAP, enterprise resource planning (ERP), or consulting experience in lieu of a bachelor's degree.
- 5+ years of experience in SAP consulting, enterprise resource planning (ERP) implementation, or SAP/ERP technology transformation in a consulting or industry environment.
- Experience supporting at least two full-lifecycle SAP implementations from project initiation through go-live and hypercare, including lead responsibility for an SAP Data & Analytics workstream or workstream area on at least one implementation, and experience supporting an SAP S/4HANA implementation.
- 2+ years of hands-on functional or technical experience with SAP Data & Analytics toolsets, including one or more of the following: SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud (SAC), or Joule copilot/SAC compass.
- Experience implementing or configuring SAP data and analytics solutions-such as data integration, data or semantic modeling, dashboards, reporting, or planning-using SAP Datasphere, SAP Analytics Cloud, SAP BW/4HANA, or S/4HANA embedded analytics.
- Experience working directly with client stakeholders to gather or validate data and analytics inputs.
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.

## Preferred
- Experience applying AI tools-including generative AI, intelligent automation, machine learning, conversational AI, or AI agents-to enterprise transformation initiatives, such as solution design, implementation, or testing.
- Experience with SAP BW/4HANA, S/4HANA embedded analytics, SAP HANA Cloud modeling, SAP Databricks, Business Data Cloud Connect, SAP Smart Data Integration, SAP Landscape Transformation (SLT), or Datasphere replication flows.
- Experience supporting SAP cloud programs or SAP transformations deployed across multiple countries.
- Experience applying SAP Activate, Agile, or Waterfall methodologies on SAP implementation programs.
- Experience contributing to proposals, estimates, solution designs, or client presentations; or coaching and mentoring junior team members.
- One or more SAP certifications, such as SAP Business Data Cloud, SAP Datasphere/BW/4HANA, or SAP Analytics Cloud.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#SAPCORE

#EPCORE

#DeloitteNDO

## About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.

## We Have Expanded From Voice Into Three Main Platforms
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

## How we work
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.

## What we offer
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

## The role / impact

As an Internal AI Engineer at ElevenLabs, you'll be embedded at the frontier of how we scale - acting as a forward-deployed engineer across our GTM, Operations, and Finance teams. You won't just build tools; you'll co-design and ship agentic AI workflows that eliminate manual toil and fundamentally reshape how our people operate.

Your impact goes beyond the code. You'll own high-stakes automations from discovery to production, acting as a technical partner to internal teams. The patterns, guardrails, and tooling you define will become the blueprint other teams reach for - the standard for how ElevenLabs harnesses AI safely and at speed.

## The Team / How We Work

You'll join a lean, high-velocity team with a shared obsession: turning broken, manual processes into elegant automated systems. We move fast through rapid experimentation, work closely with operators and business owners to uncover the real problem, and ship pragmatic solutions without waiting for perfect specs.

## What You'll Actually Be Working On
- Designing and iterating on AI agents and workflow orchestrations using tools like ElevenAgents, Claude, and n8n.
- Integrating AI systems with our core business stack - Salesforce, Slack, Ashby, and more
- Building reusable automation services, patterns and shared templates that multiply the output of every team you touch
- Owning experiments end-to-end: spotting the opportunity, building the solution, and measuring the impact
- Developing evaluation and monitoring frameworks so our AI-native workflows are reliable, auditable, and safe

## What we're looking for
- Proven experience building and shipping automations or applications in production - you know what it takes to go from fuzzy business pain to something real teams depend on
- AI-First Instincts: Strong familiarity with LLM capabilities, prompting strategies, RAG patterns, and a genuine passion for building agentic workflows.
- Deep Backend Expertise : Strong Python and SQL and system design patterns (APIs, webhooks, orchestration layers)
- A systems-thinking mindset : you design with security, auditability, and blast radius in mind from the start
- Builder and AI-First instincts: you don't wait to be told what to build - you spot the pattern, propose the fix, and ship it.
- Infra & DevOps Instincts: Hands-on experience operating cloud infrastructure (GCP preferred), Kubernetes, Docker, and enterprise authentication flows

## Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. Specific teams may have specific location preferences.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.