Job Description

Role Purpose

Develop, validate and productionize machine-learning, GenAI and agentic-AI solutions that deliver measurable business outcomes.

Key Responsibilities
Translate business problems into analytical and AI approaches.
Conduct data exploration, feature engineering, experimentation and model development.
Build predictive, recommendation, NLP, RAG and conversational-AI solutions.
Define evaluation metrics; perform error, bias, fairness and explainability analysis.
Collaborate with engineering and MLOps teams on deployment, monitoring, retraining and continuous evaluation.

Required Skills
Python, SQL, PySpark and scikit-learn
XGBoost/LightGBM, NLP and LLM frameworks
LangChain, LangGraph or Hugging Face
Databricks, MLflow, Azure ML or Google Cloud




Model explainability, fairness, drift and production monitoring

Qualifications

Bachelor's or master's degree in Data Science, Computer Science, AI or quantitative discipline. Minimum 5 years after a bachelor's degree or 3 years post-master's is preferred.

Key Deliverables / Success Measures
Transparent, approved deliverables aligned to squad objectives
Evidence of quality, security, compliance and governance controls
Predictable collaboration across business and technology stakeholders
Measurable improvement in product adoption, delivery flow or operational outcomes

📌 Artificial Intelligence Engineer Bengaluru
🏢 SRS Infoway
📍 Bengaluru