AIML Engineer

Company Name: Optum
Experience: 5-7 years
Location: Bangalore
Interview Mode: Virtual/F2F
Interview Rounds: 2 Rounds
Notice Period: Immediate to 30 days
Job description:
• Contributes to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for Identity matching and mastering platform• Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualization, rapid prototyping and experimentation, and writing high-quality, robust production code• Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets• Assist with the implementation and management of cloud infrastructure for AI solutions, learning and applying Infrastructure as Code principle• Utilize and contribute to reusable AI/ML platforms, components, and frameworks, helping to improve engineering efficiency• Actively seek guidance and learn from senior engineers through code reviews, pair programming, and technical discussions• Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deliver scalable, impactful AI solutions• Stay current with the latest advancements in AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges• Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments• Contribute to a team culture focused on technical excellence, continuous learning, and curiosityQualifications:
• Undergraduate degree or equivalent experience• 5-7 years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems• 5-7+ years of AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly• LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring). Good Understanding of Agentic AI, LangGraph, LangChain, RAG, Transformers.• Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code• Solid programming skills in Python• Technical Breadth: Familiarity and hands-on experience with relevant technologies such as backend services ( Java), cloud platforms (AWS/Azure), front-end frameworks (React), CI/CD pipelines, REST/WebSocket API development, and database technologies• Broaden ML Domain Knowledge: Practical experience or solid knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly DetectionNice to have:
• Experience in Health Care Industry.• Experience in Master Data Management or Record Linkage domain.• Certifications in AI/ML• Experience of AI/ML review process, UAIS and MLRB for internal employees• Experience on Apache Spark