Description :

Key Responsibilities :

- Design, develop, and deploy AI/ML models for production use cases

- Build and optimize NLP solutions, including Transformers and LLM fine-tuning

- Implement and manage vector databases for semantic search and retrieval-based applications

- Develop scalable and high-performance APIs for AI/ML services

- Apply MLOps best practices including model versioning, monitoring, retraining, and CI/CD

- Optimize model inference performance and system scalability

- Work with large datasets and ensure data quality and consistency

- Perform code reviews and mentor junior engineers

- Collaborate with product, backend, and DevOps teams to deliver end-to-end solutions

- Stay updated with advancements in AI/ML technologies and frameworks

Required Technical Skills :

- AI / Machine Learning

- Strong experience in AI/ML model development and deployment

- Hands-on experience with :

1. NLP, Transformers, and Large Language Models (LLMs)

2. LLM fine-tuning and prompt optimization

3. Vector databases (for embeddings and semantic search)

Programming & Frameworks :

- Python (advanced)

- NumPy, Pandas, Scikit-learn

- TensorFlow and/or PyTorch

Databases :

- MongoDB advanced usage and performance optimization

MLOps & Infrastructure :

- Strong knowledge of MLOps practices

- Model monitoring, retraining, versioning

- Experience with Docker and Kubernetes

- Understanding of distributed processing systems

- Performance tuning for ML pipelines and inference workloads