Description

Key Responsibilities:

• Design, develop, and deploy machine learning and generative AI models for real-world applications.
• Build and optimize solutions using large language models (LLMs) for tasks like text generation, summarization, and Q&A.
• Develop and maintain end-to-end ML pipelines from data ingestion to model deployment.
• Fine-tune pre-trained models using frameworks like Hugging Face Transformers.
• Implement prompt engineering strategies to improve LLM outputs.
• Work with vector databases for semantic search and retrieval-augmented generation (RAG).
• Integrate AI/ML models into scalable APIs and production systems.
• Collaborate with data engineers to prepare and process large datasets.
• Evaluate model performance and continuously improve accuracy and efficiency.
• Deploy models using cloud platforms like AWS, Azure, or GCP.
• Monitor models in production and handle model drift and retraining.
• Ensure responsible AI practices including fairness, bias mitigation, and security.
• Optimize models for latency, scalability, and cost.
• Work closely with cross-functional teams including product managers and stakeholders.
• Participate in Agile/Scrum development processes

Key Skills

Education

Any Gradute