Artificial Intelligence Engineer

AI/ML Engineer (Senior)

Location: Bangalore, India (Onsite)

Contract Type: 4 months (JanuaryApril 2026)

Work Schedule: Full-time, on-site

Application Deadline: Until the position is filled

Language: English (mandatory)

Job Overview

We are seeking a Technical AI Engineer/ Specialist with strong hands-on experience in designing, developing, and deploying AI/ML solutions. This role will provide deep technical expertise to support an AI Transformation initiative, working alongside the IDTA lead to ensure successful delivery of AI initiatives. The ideal candidate will assess AI opportunities, evaluate feasibility, and deliver scalable solutions that align with business objectives. Exposure to project management and ability to work in a structured delivery model will be an advantage.

Key Responsibilities

1. Opportunity Assessment & Feasibility Analysis

a. Understand Trading & Supply Finance business pain points and identify potential AI use cases across commodities (Gas, Power, Crude, Products etc).

b. Conduct feasibility studies considering technical complexity, cost, and ROI.

c. Provide technical input to prioritize AI initiatives aligned with business goals.

2. AI & Machine Learning Development

a. Design, develop, and implement AI/ML models for predictive analytics, NLP, Gen AI, RAG, Agentic AI use cases.

b. Fine-tune and optimize models for accuracy, scalability, and performance in production environments.

3. Generative AI & LLM Integration

a. Deploy and manage Large Language Models (LLMs) for enterprise use cases.

b. Implement Generative AI solutions for automation, decision support, trend analysis, pattern recognition, and knowledge extraction.

4. Data Engineering & Analysis

a. Collect, preprocess, and analyse large datasets to support AI applications.

b. Ensure data integrity, compliance with Shell security standards, and adherence to governance frameworks.

5. Technical Delivery & Project Support

a. Collaborate with IDTA lead to plan and manage technical aspects of AI projects from concept to deployment.

b. Track technical deliverables, timelines, and dependencies while ensuring alignment with functional requirements.

6. Collaboration & Innovation

a. Work closely with cross-functional teams to integrate AI into enterprise systems and workflows.

b. Stay updated on emerging AI technologies, frameworks, and best practices; recommend innovative solutions.