Role Overview
We are looking for an experienced AI/ML & Data Science professional to drive Generative AI and Machine Learning solutions for enterprise use cases. The role involves working on advanced analytics, building scalable AI systems, and collaborating with cross-functional teams to deliver business impact.
Key Responsibilities
- Design and develop Generative AI applications (LLMs, RAG, embeddings)
- Work on prompt engineering, vector databases, and AI workflows
- Fine-tune and optimize pre-trained models for business use cases
- Develop and deploy ML models and predictive analytics solutions
- Work on NLP, forecasting, recommendation systems, and clustering/classification problems
- Perform feature engineering and model optimization
- Build scalable backend services and APIs using Python
- Integrate AI/ML models into enterprise systems
- Ensure code performance, scalability, and reusability
- Deploy models in production environments (cloud platforms preferred)
- Work with MLOps pipelines, REST APIs, and microservices
- Monitor model performance and enable continuous improvement
Required Skills
- Strong expertise in Data Science, Machine Learning, and AI/ML modeling
- Hands-on experience with Python
- Experience in Generative AI (LLMs, NLP, RAG, prompt engineering)
- Exposure to cloud platforms (AWS/Azure/GCP)
- Strong problem-solving and stakeholder management skills