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 Role & responsibilities
Preferred candidate profile
📌 Data Engineer Hyderabad (India)
🏢 SRS Infoway
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.