AI / ML Engineer

Research and Scoping:

• Collaborate with stakeholders in various teams and departments to scope out potential business use cases.
• Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks.
• Perform model optimization for performance, scalability, and accuracy.
• Implement advanced feature engineering techniques for both structured and unstructured data.
• Leverage leading libraries like TensorFlow and PyTorch for experimentation and production.
• Build and optimize machine learning pipelines with tools like Vertex AI.

AI Agent Development:

• Design and implement autonomous AI agents aimed at optimization using custom prompting and agentic workflows.

Requirements:

• Have 3-6 years of experience in the Data Science / Machine learning domain.
• Possess a bias for action with a track record of solving technical challenges creatively.
• Experienced in 01 MVP development and iterative prototyping.
• Knowledgeable and experienced in leveraging LLMs, RAG, and Agentic frameworks.
• Passionate about staying up to date with AI trends and best practices.
• Strong expertise in Python, proficiency in TensorFlow, PyTorch, and MLOps practices, experience in cloud-based deployment and machine learning frameworks.
• Technical expertise - Hands-on experience with Gen AI, RAG, Graph AI, and LLMs.
• Experience with cloud platforms such as AWS or GCP, including AI/ML services.
  • Knowledge of LLMs, vector databases, and applied Gen-AI techniques and frameworks (RAG, Agentic AI orchestration, LangChain, LlamaIndex, etc).