Machine Learning Engineer

• Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
• Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
• Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
• Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
• Write clean, efficient, and well-tested code.
• Participate in code reviews and provide constructive feedback.
• Maintain system uptime and optimal performance
• Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks

• Master's degree / Bachelor's degree and 5 to 9 years
• Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
• Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
• Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
• Experience with popular large language models like OPEN AI
• Experience with language models and frameworks like Langchain or llamaIndex
• Proficiency with prompt engineering, model fine tuning
• Familiarity with DevOps CICD build and deployment pipeline
• Experience with design patterns, data structures, test-driven development.
• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills.
• Ability to work effectively with global, virtual teams.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals.
• Strong presentation and public speaking skills.

AWS, Data Science Certifications(preferred)

competitive and comprehensive Total Rewards Plans that are aligned with local industry standards