Senior AI/ML Consultant – SLM & Smart Manufacturing

Qualifications

• Experience Required: 10 – 21 Years
• Eligibility: Green Card Holders, US Citizens, H1B Transfer
• 12–15 years of experience in AI/ML, including 2+ years in Generative AI / LLMs / Agentic AI
• Strong expertise in ML, DL, NLP, vision systems, and time-series modeling
• Proficiency in Python and ML frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain
• Proven cloud delivery experience on AWS / Azure / GCP
• Hands-on experience with Docker, Kubernetes, API deployment
• Proficiency in MLOps/LLMOps tools: MLflow, Azure ML, Vertex Pipelines, Kubeflow
• Strong knowledge of manufacturing operations, IoT, field service, and SLM data models
• Excellent communication & client-facing skills
• Experience with Digital Twins, Predictive Maintenance, Industrial IoT
• Knowledge of vector DBs: Pinecone, Weaviate, FAISS, Azure AI Search
• Familiarity with PLM/ERP/SLM systems: PTC Windchill, Teamcenter, SAP S/4HANA
• Automotive, commercial vehicle, or heavy machinery industry background
• Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer)

Benefits

• Compensation: USD 150,000 – 199,000 Per Annum + Bonus up to 20%

Responsibilities

• Travel Requirement: As Required (Client Workshops & Solutioning)
• The ideal candidate is a full-stack AI engineer capable of architecting, developing, and scaling AI solutions across automotive, commercial vehicles, heavy equipment, and industrial manufacturing environments
• This role blends hands-on technical work with consultative leadership, including pre-sales support, client advisory, PoCs, and end-to-end AI solution delivery
• Identify AI use cases, lead workshops, and design scalable solutions
• Build PoCs and prototypes to validate business value
• Develop AI pipelines for vision, NLP, and time-series
• Build GenAI apps, agent workflows, and RAG-based knowledge systems
• Own end-to-end delivery from data to deployment
• Deploy AI solutions on AWS/Azure/GCP
• Implement MLOps pipelines, CI/CD, and monitoring
• Deploy models via Docker/Kubernetes and APIs
• Apply AI to design, production, quality, and service operations
• Build predictive maintenance, defect detection, and process optimization solutions
• Lead client presentations and innovation demos
• Mentor teams and contribute to reusable AI frameworks

Full Description

Work Type: Direct Hire / Full-Time

Experience Required: 10 – 21 Years

Compensation: USD 150,000 – 199,000 Per Annum + Bonus up to 20%

Eligibility: Green Card Holders, US Citizens, H1B Transfer

Travel Requirement: As Required (Client Workshops & Solutioning)

Job Overview

• We are seeking a highly experienced AI Consultant with strong expertise in machine learning, deep learning, generative AI,and agentic AI, backed by robust domain knowledge in Manufacturing & Service Lifecycle Management (SLM).

• The ideal candidate is a full-stack AI engineer capable of architecting, developing, and scaling AI solutions across automotive, commercial vehicles, heavy equipment, and industrial manufacturing environments.

• This role blends hands-on technical work with consultative leadership, including pre-sales support, client advisory, PoCs, and end-to-end AI solution delivery.

Key Responsibilities

• Identify AI use cases, lead workshops, and design scalable solutions.

• Build PoCs and prototypes to validate business value.

• Develop AI pipelines for vision, NLP, and time-series.

• Build GenAI apps, agent workflows, and RAG-based knowledge systems.

• Own end-to-end delivery from data to deployment.

• Deploy AI solutions on AWS/Azure/GCP.

• Implement MLOps pipelines, CI/CD, and monitoring.

• Deploy models via Docker/Kubernetes and APIs.

• Apply AI to design, production, quality, and service operations.

• Build predictive maintenance, defect detection, and process optimization solutions.

• Lead client presentations and innovation demos.

• Mentor teams and contribute to reusable AI frameworks.

Must-Have Qualifications

• 12–15 years of experience in AI/ML, including 2+ years in Generative AI / LLMs / Agentic AI.

• Strong expertise in ML, DL, NLP, vision systems, and time-series modeling.

• Proficiency in Python and ML frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain.

• Proven cloud delivery experience on AWS / Azure / GCP.

• Hands-on experience with Docker, Kubernetes, API deployment.

• Proficiency in MLOps/LLMOps tools: MLflow, Azure ML, Vertex Pipelines, Kubeflow.

• Strong knowledge of manufacturing operations, IoT, field service, and SLM data models.

• Excellent communication & client-facing skills.

Nice-to-Have Qualifications

• Experience with Digital Twins, Predictive Maintenance, Industrial IoT.

• Knowledge of vector DBs: Pinecone, Weaviate, FAISS, Azure AI Search.

• Familiarity with PLM/ERP/SLM systems: PTC Windchill, Teamcenter, SAP S/4HANA.

• Automotive, commercial vehicle, or heavy machinery industry background.

• Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer).