Senior AI/ML Data Scientist

About the job

Job Description – Senior AI/ML Data Scientist Shift: US Relevant Experience: 5–6 Years Requirements • Bachelor's/Master's in CS, Data Science, or related field. • 5–6 years in AI/ML & Data Science. • Strong in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face. • Hands-on with LLMs, embeddings, vector DBs, RAG. • Experience in recommendation, personalization, predictive modeling. • Skilled in SQL/NoSQL, data pipelines, APIs (FastAPI, Django REST, Flask). • Cloud ML deployments (Azure/AWS/GCP). • Familiar with Docker, Kubernetes, Git, CI/CD. Responsibilities Develop, deploy, and maintain AI/ML models using Python and Django. Build scalable data pipelines and APIs integrating ML models into production. Work across domains such as NLP, Computer Vision, and Generative AI for real-world solutions. Perform data preprocessing, model training, and performance tuning. Collaborate with cross-functional teams for AI product development and insights. Automate workflows and ensure robust, reproducible, and efficient ML systems. Implement MLOps practices (Docker, MLflow, Kubernetes, Azure). Document model architectures, maintain version control, and support deployment.