Senior AI/ML Developer

Key Responsibilities
• Build and deploy full ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Develop GenAI/LLM solutions, including RAG, vector search, fine tuning, and prompt optimization.
• Build scalable Python-based services/APIs using TensorFlow/PyTorch, FastAPI/Flask, and cloud technologies.
• Implement MLOps practices with MLflow/Kubeflow/SageMaker/Azure ML, CI/CD, and automated orchestration (Airflow, Prefect, Autosys).
• Ensure data quality, security, and compliance with model governance (SR 11 7), explainability, and financial regulatory standards.
• Collaborate with cross functional teams to translate business needs into AI solutions; provide mentorship and perform code/design reviews.


Required Qualifications
• 5+ years of hands on with ML technologies.
• Expert Python and strong experience with ML/DL frameworks (TensorFlow, PyTorch, scikit learn)
• Hands on experience with LLMs, RAG architectures, vector databases, and GenAI toolkits
• Strong SQL/data engineering experience; proficiency with Spark/Databricks.
• Cloud engineering (Azure/AWS/GCP), Docker/Kubernetes, and CI/CD pipelines.
• Experience building production ML services and implementing monitoring for drift, performance, and reliability.
• Strong communication skills and ability to influence architecture and best practices.


Nice to Have
• Financial domain expertise (risk, fraud, forecasting, customer intelligence).
• dvanced ML topics: time series, graph ML, optimization, causal inference.
• ONNX/TensorRT model optimization and real time inference experience.
• utomation Background:
o RPA tools: Automation Anywhere,
o Xceptor
o Test automation: Selenium
• Java or Angular knowledge for integrations with enterprise systems.
• Experience with observability tools (Splunk, Grafana)