Posted:1 week ago|
Platform:
On-site
Full Time
Role : Data Scientist
Client : Wipro
Role : Permanent
Mode of work : Hybrid
Notice : Immediate - 20 Days
Exp : 4 to 11 Years
Locations : Pan India
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
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