Responsibilities
- Develop and implement advanced statistical models, predictive analytics, and optimization frameworks.
- Research, develop, and apply ML, Deep Learning, and AI techniques on large datasets.
- Conduct exploratory data analysis (EDA) and apply feature engineering techniques.
- Optimize and tune ML models for performance, scalability, and accuracy.
- Fine-tune and customize LLMs (GPT, Claude, Gemini, etc.) for enterprise use cases.
- Implement Retrieval Augmented Generation (RAG) pipelines for chatbots and knowledge retrieval.
- Work with vector databases for semantic search.
- Deploy LLM-powered applications for document summarization, sentiment analysis, and automation.
- Translate complex AI/ML models into actionable business insights.
- Partner with stakeholders to define data requirements and ensure the right data is captured.
- Develop proof-of-concept solutions demonstrating AI and ML capabilities.
- Deploy AI/ML models using cloud technologies (Azure, AWS, GCP).
- Work with Docker, Kubernetes, and CI/CD pipelines for scalable ML deployment.
- Stay updated with the latest trends in AI, LLMs, GenAI, and cloud-based ML platforms.
Work Arrangement
Remote (Country) — India
