Lead the technical vision, architecture, and execution of advanced analytics systems, predictive models, and Large Language Models (LLMs) at scale.
Design, develop, fine-tune, and optimize LLMs for use cases such as text generation, translation, summarization, question answering, and code generation.
Build and orchestrate LLM-powered applications using frameworks such as LangChain and LangGraph, enabling multi-step reasoning and agent-based workflows.
Develop and deploy scalable AI solutions on cloud platforms such as AWS, Azure, and Google Cloud Platform, ensuring high availability, security, and cost optimization.
Design and develop robust APIs and microservices using FastAPI and related frameworks to expose AI/ML capabilities for enterprise applications.
Implement end-to-end model lifecycle management, including training, evaluation, deployment, monitoring, and performance optimization in production environments.
Apply secure software development principles, including secure coding practices and implementation of authentication and authorization mechanisms.
Perform code reviews and audits to maintain engineering standards, architectural best practices, and governance compliance.
Collaborate with data scientists, senior data scientists, and cross-functional teams to ensure high-quality data pipelines and solution delivery aligned to business needs.
Collaborate with cross-functional teams to gather requirements & plan sprints, and deliver high-quality software applications/solutions.
Participate in Agile ceremonies, support effort estimation, ensure milestone adherence, and provide technical mentorship and leadership to junior engineers.
Assist in effort estimation and meeting project deadlines. Actively participate in Agile team activities, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
Never miss an opportunity! Create an alert based on the job you applied for.
