Job
Description
Job Summary What you need to know about the role This role leads the design, development, and implementation of highly scalable and advanced Generative AI solutions that can be leveraged across the organization. You will collaborate closely with the Architect, Product Managers, and development teams to deliver top-quality products with high security through innovative AI/ML solutions. Meet our team You ll be part of a team committed to solving challenges to deliver exceptional results. You will get an opportunity to work with latest AI technologies and frameworks that can make a wider impact. We encourage innovation and creative problem-solving approaches to deliver. If you are a passionate engineer who likes to get on to the ground with the roll-up-the-sleeves attitude, this would be your right place Job Description Your way to impact We are seeking a highly skilled Machine Learning Engineering Lead with expertise in building scalable AI enterprise solutions and a solid understanding of Generative AI and Prompt Engineering techniques. In this role, you will take ownership of architecting, designing, and leading development teams to deliver advanced Generative AI solutions that focus on technology improvements and intelligent systems, such as Technology Assistants, AI Agents, fine-tuned models with domain expertise. You will play a pivotal role in shaping the AI solutions architecture while collaborating with multidisciplinary teams. Your day to day Lead the development and delivery of Generative AI solutions. Keep the team ahead with research and implementation innovative AI solutions that can make an organization-wide impact. Collaborate with cross-functional teams to ensure deliveries are done on with high-quality and great standards. What do you need to bring A Bachelors, Masters, or Ph.D. degree in Computer Science, Computer Engineering, or a related field. A minimum of 10 years of professional experience, including 5+ years of experience with ML frameworks, model training and deployment. Minimum 2 years of hands-on experience with Generative AI technologies, large language models (LLMs), prompt engineering techniques, and vector databases (e.g., Pinecone, Weaviate, Milvus, or similar). Strong proficiency with Python, and cloud infrastructure (e.g., AWS, Azure, GCP) is a must. Experience in architecting and building enterprise-scale systems, such as Knowledge Graphs or distributed AI platforms. Experience in fine-tuning LLM models to inject domain expertise and enhance ethical standards. Excellent communication skills to interface with both technical and non-technical stakeholders, enabling clear articulation of project requirements and outcomes.
