Senior AI Engineer | 10-15 YOE | Bangalore-Hybrid

Role overview

We are looking for a Senior AI Engineer who can translate business problems into scalable analytical solutions and lead the design of AI-driven solutions. You will work at the intersection of data, domain, and decision-making, collaborating with engineering and strategy teams to operationalise machine learning in real-world contexts.

Required Skills & Experience

• 10+ years of total experience, with 5+ years in applied data science or machine learning.
• Expertise in Python, SQL, and ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow).
• Strong foundation in statistics, optimiSation, and data storytelling.
• Experience with cloud environments (AWS, Azure, or GCP) and MLOps frameworks (SageMaker, MLflow, Kubeflow).
• Exposure to LLMs, NLP, or Generative AI for applied use cases.
• Ability to translate domain-specific challenges into measurable data science outcomes —ideally in energy, commodities, or financial analytics.
• Excellent communication and mentoring abilities; comfortable working in client-facing roles.

Nice to Have

• Experience integrating data science into data platforms or governance frameworks.
• Prior experience in consulting or product environments.

Key Responsibilities

• Lead end-to-end AI-driven initiatives — from problem framing and data exploration to model deployment.
• Build and optimise predictive, prescriptive, and generative models using modern ML techniques.
• Partner with data engineering teams to ensure robust data pipelines and governance for model reliability.
• Define and implement model evaluation frameworks — accuracy, drift detection, explainability, and impact metrics.
• Mentor junior data scientists and analysts; establish coding and experimentation best practices.
• Collaborate with business stakeholders to identify high-value AI use cases and prototype proofs of concept.