Artificial Intelligence Engineer

SRS Infoway; Bengaluru; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

SRS Infoway in Bengaluru, India, seeks an experienced machine learning engineer to develop, validate, and productionize AI solutions that deliver measurable business outcomes.

You will translate business problems into analytical approaches, conduct data exploration, build models for predictive, NLP, and conversational AI, and collaborate with MLOps for deployment and monitoring.

Qualifications

• Bachelor's or master's in a quantitative discipline with strong AI/data science grounding.

Responsibilities

• Translate business problems into analytical and AI approaches.

Skills

Python

SQL

PySpark

scikit-learn

XGBoost

LightGBM

NLP

LLMs

LangChain

LangGraph

HuggingFace

Databricks

MLflow

Azure ML

Google Cloud

Explainability

Fairness

Drift

Production monitoring

Education

Bachelor's or Master's in Data Science/Computer Science/AI or quantitative discipline

Tools

Databricks

MLflow

Azure ML

Google Cloud

Job description

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

• Clear, 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