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AI Tech Lead_Leading Oil and Gas GCC_Bengaluru

Bangalore Permanent View Job Description
The AI Tech Lead will deliver intelligent systems from architecture to production at scale. They should be skilled in designing robust AI platforms, data pipelines, and MLOps frameworks, with strong focus on scalability, reliability, and performance optimization. They should also have experience in applying advanced techniques across machine learning, deep learning, NLP, and GenAI (including RAG and LLM-based systems), while embedding responsible AI practices.
  • Get to be a part of the largest oil and gas GCCs in India.
  • Get to work on cutting edge AI projects in the oil and gas space.

About Our Client

The client is one of the world's largest integrated energy companies. It operates across the entire oil and gas value chain-including exploration, production, refining, marketing, and transportation-as well as petrochemicals and growing investments in renewable energy.

Job Description

  • Lead end‑to‑end technical delivery of AI/ML and GenAI products from design through production and support.
  • Define solution architecture for AI systems including data pipelines, feature/embedding stores, model serving, APIs, and integration with enterprise applications.
  • Own engineering standards for model development, testing, CI/CD, deployment, observability, and reliability (SLOs/SLAs).
  • Partner with Product and Business stakeholders to translate requirements into technical specs, system designs, and delivery plans.
  • Guide model selection and implementation (classical ML, deep learning, NLP, LLMs), including evaluation strategy and performance trade‑offs.
  • Design and implement MLOps processes: model versioning, reproducibility, automated training, model registry, deployment strategies, drift detection, and retraining workflows.
  • Develop and review code for data processing, training pipelines, inference services, prompt orchestration, and evaluation harnesses.
  • Ensure responsible AI practices: data privacy, security controls, bias detection, explainability, content safety, and auditability.
  • Implement GenAI patterns such as RAG, embeddings, vector search, caching, guardrails, prompt management, and hallucination mitigation.
  • Drive performance optimization: latency, throughput, cost (GPU/CPU), and scalability for real‑time and batch inference.



The Successful Applicant

A successful AI Tech Lead should have:

  • A strong academic background in computer science, data science, or a related field.
  • Proven expertise in AI, machine learning, and analytics within the energy and natural resources industry.
  • Hands-on experience with programming languages such as Python, R, or similar tools.
  • A solid understanding of the gas sector's operational challenges and opportunities.
  • Leadership skills to guide and manage a team effectively.
  • Excellent problem-solving abilities and a detail-oriented mindset.
  • Strong communication skills to interact with stakeholders and present findings clearly.

What's on Offer

  • A permanent role based in Bengaluru with opportunities to work in the energy and natural resources industry.
  • Competitive salary and benefits package.
  • Exposure to cutting-edge AI technologies in the gas sector.
  • Opportunities for professional growth and career development.
  • A collaborative work environment focused on innovation and excellence.



If you are passionate about driving AI innovations in the energy and natural resources industry, apply now for the AI Tech Lead position in Bengaluru.

Quote job ref
JN-032026-6984836

Job summary

Function
Analytics
Sub Sector
Digital Analytics
What is your area of specialisation?
Industrial / Manufacturing
Location
Bangalore
Job Type
Permanent
Job Reference
JN-032026-6984836

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.