AI Consultant

About the Role

We are hiring for our client, a leading organization seeking a highly experienced

AI Consultant

with deep expertise across machine learning, deep learning, Generative AI, and enterprise -scale AI solutioning. This role requires strong domain experience in

Manufacturing

Service Lifecycle Management (SLM)

, and

Media & Entertainment

, with the ability to drive solution selling, practice development, and full -stack AI engineering.

The ideal candidate is a senior, full -stack AI professional who can architect, prototype, and deploy AI / ML systems while also leading client -facing consulting engagements, workshops, and pre -sales activities.

Key Responsibilities

1. AI Solutioning & Consulting

Engage with manufacturing, service, and media industry leaders to identify high -value AI opportunities.

Lead pre -sales discussions, client workshops, and AI maturity assessments.

Build proof -of -concepts, rapid prototypes, and demos that showcase measurable business value.

Translate business requirements into scalable AI / ML architectures and solution roadmaps.

2. Technical Leadership

Design and develop full end -to -end AI systems for time series modeling, anomaly detection, computer vision, NLP, and document understanding.

Build GenAI solutions, including agentic workflows, AI copilots, parts -lookup assistants, and technician / service knowledge tools.

Implement RAG pipelines integrating domain documentation, service manuals, IoT telemetry, and enterprise data.

Support the entire lifecycle from data engineering to modeling, deployment, testing, and optimization.

3. Cloud Engineering & MLOps

Deliver AI workloads using AWS (SageMaker, Bedrock), Azure (ML, OpenAI, AI Studio), or GCP (Vertex AI, Gemini).

Implement robust MLOps / LLMOps workflows including CI / CD, versioning, automated deployments, and monitoring.

Deploy containerized workloads via Docker / Kubernetes and expose models via APIs (FastAPI, Flask, etc.).

Integrate with IoT / edge platforms to enable predictive, real -time, and offline inference.

4. Domain Expertise – Manufacturing & SLM

Apply AI across product design, production, aftersales, warranty analytics, and dealership / service operations.

Implement use cases such as digital twins, defect detection, yield optimization, predictive maintenance, and spare parts forecasting.

Build GenAI copilots for technicians, engineers, and service networks.

Enable closed -loop intelligence across engineering, manufacturing, and service teams.

5. Thought Leadership & Practice Development

Represent the organization in solutioning sessions, RFP responses, and innovation showcases.

Support practice development initiatives by shaping methodologies, accelerators, and industry frameworks.

Mentor teams on industrial AI, full -stack development, and GenAI best practices.

Requirements

12–15 years

of experience in AI / ML.

2+ years

in Generative AI, LLMs, or Agentic AI.

Strong background in ML, deep learning, NLP, computer vision, and time -series modeling.

Expertise in

Python

, TensorFlow, PyTorch, Scikit -learn, Hugging Face, and LangChain.

Proven delivery experience on

AWS, Azure, or GCP

Hands -on experience with

Docker, Kubernetes, and API deployment

Familiarity with

MLOps / LLMOps

platforms such as MLflow, Azure ML, Vertex AI Pipelines, Kubeflow.

Deep understanding of

manufacturing operations

, IoT / edge AI, and SLM data models.

Strong communication and presentation skills for both technical and business stakeholders.

Experience in

Media & Entertainment

, solution selling, and practice development.

Demonstrated

job stability

throughout career.

Preferred Qualifications

Knowledge of Digital Twin frameworks, predictive maintenance systems, and industrial IoT.

Experience with vector databases (Pinecone, Weaviate, FAISS, Azure AI Search).

Familiarity with PLM, ERP, and SLM platforms such as PTC Windchill, Siemens Teamcenter, SAP S / 4HANA.

Background in automotive, commercial vehicle, or heavy equipment industries.

Professional cloud / AI certifications (Azure AI Engineer, AWS ML Specialty, GCP ML Engineer).

Why Join This Opportunity

Be a key contributor driving AI -led transformation across manufacturing, aftersales, media, and enterprise operations.

Work on next -generation AI tools such as copilots, autonomous agents, and predictive intelligence systems.

Collaborate with a highly skilled team of AI and domain experts.

Influence the future of service lifecycle management through automation, GenAI, and data -driven innovation.

Benefits

Full benefits package