Data Scientist

Job Details:

• Role:Data Scientist
• Client: Wipro
• Job Type: Full-Time
• Experience: 4 to 11 years
• Locations- Bengaluru, Pune, Hyderabad, Kolkata, Chennai, Noida, Gurgaon.
• Mode: Hybrid
• Notice Period: Immediate to 20 days

strong python + Agentic AI run time/practical experience is mandatory(Agentic AI should be 1 to 1.5 years minimum).

About the Company:

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Key Responsibilities

· Lead end-to-end development of ML and GenAI models including CNNs, LSTMs, Transformers, and Bi-Encoders.

· Architect and deploy real-time AI solutions using TorchServe, Docker, REST APIs, and cloud-native tools (AWS Lambda, Azure Functions).

· Design anomaly detection, fraud prediction, and risk scoring systems using XGBoost, LightGBM, and PySpark.

· Collaborate with cross-functional teams to translate complex business problems into AI-driven solutions.

· Ensure model governance, compliance (MRM, SHAP, audit logs), and Responsible AI standards.

· Build agentic AI systems using LangChain, CrewAI, and custom multi-agent protocols (MCP, A2A).

· Optimise model latency, cost, and scalability across distributed environments.

· Mentor junior data scientists and contribute to capability building across pods.

Technical Skills

Category Tools & Technologies

Programming Python, SQL, PySpark, Scala

ML/DL Frameworks TensorFlow, PyTorch, Hugging Face, MLflow

GenAI & LLMs GPT-4, Claude, LLaMA, Mistral, LangChain, RAG

Cloud Platforms AWS, Azure, GCP

Data Engineering Airflow, Kafka, RabbitMQ, Spark

Visualization Power BI, QuickSight, Tableau

Model Ops Docker, Kubernetes, API Gateway, CloudWatch

Governance SHAP, Explainability, Audit Logs, MRM Compliance