Job
Description
Lead AI/ML Engineer Bangalore, India Information Technology 17101 Overview Seeking an experienced Lead AI/ML Engineer with 5 to 7 years of industry experience, including a minimum of 34 years in Machine Learning, NLP, and LLM-Ops, to support the development and deployment of scalable AI solutions. The ideal candidate should have hands-on expertise in Python, AWS, and ML-Ops pipelines, with experience in building RAG systems and working with large language models. This role involves developing production-ready ML systems, automating model workflows, and contributing to high-impact, cloud-based AI initiatives within an agile environment. Responsibilities Key Responsibilities Lead the design, development, and optimization of end-to-end ML and NLP systems in production environments. Collaborate on the deployment of machine learning models using ML-Ops/LLM-Ops pipelines on AWS or other cloud platforms. Develop Retrieval-Augmented Generation (RAG) systems for complex NLP tasks, ensuring scalability and low-latency processing. Architect solutions for the integration and scaling of ML models in distributed environments using cloud technologies such as AWS, Azure, or Google Cloud . Maintain and enhance large-scale machine learning models in production, ensuring high availability and performance. Drive the automation of model retraining, monitoring, and validation workflows within ML-Ops pipelines. Work with cross-functional teams to create optimized, robust, and scalable machine learning solutions that directly impact the business. Requirements Technical Requirements 3+ years of hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), and working with Large Language Models (LLMs) . Proficiency in Python for ML development and integration into production systems. Strong experience in deploying ML models using AWS (or other cloud platforms) with a focus on ML-Ops practices for continuous integration, deployment, and monitoring. Experience in LLM-Ops and the operationalization of large language models in production environments. Proficiency in developing RAGs (Retrieval-Augmented Generation) systems or similar knowledge-enhanced retrieval frameworks. Strong foundation in software development best practices for AI/ML, including testing, optimization, and performance tuning. Familiarity with cloud services and tools like S3, Lambda, Kubernetes , and Docker for scalable deployments. Preferred Qualifications Hands-on experience with Computer Vision or Reinforcement Learning techniques is a plus. Familiarity with database management using Oracle or PL/SQL . Experience with Agile development processes and tools such as Jira and Confluence . Ability to manage and prioritize multiple projects in a fast-paced, agile environment with a focus on high-quality delivery. Must-Have Qualifications Bachelor's or Master's degree in computer science, Data Science, or related fields from a reputed institution (IIT, DCE, NIT, or equivalent). Proven experience in the full ML lifecycle , from research to production, with a focus on performance, scalability, and robustness. Strong analytical and problem-solving skills, with a creative and entrepreneurial mindset.
