AI/ML Engineer-NLP, Python, Machine learning, RAG, Langchain, etc

Optum; Gurugram District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Optum is seeking an AI/ML Engineer specialized in NLP to design, train, and deploy production-ready AI solutions for enterprise healthcare use cases.

You will work with NLP, LLMs, RAG architectures, and AI agents, building scalable APIs and microservices while championing responsible AI practices and robust MLOps in a cloud-native environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
• 5+ years of professional experience developing, deploying, and supporting AI/ML solutions in enterprise environments.
• Experience building and deploying machine learning models into production environments.
• Experience developing APIs, microservices, and scalable cloud-native applications.
• Experience with Agile, Scrum, and modern software development methodologies.
• Knowledge of CI/CD pipelines, software testing, observability, version control, and secure software development practices.
• Solid understanding of supervised, unsupervised learning, deep learning, NLP, LLMs, feature engineering, experimentation, and model evaluation techniques.

Responsibilities

• Design, develop, train, evaluate, deploy, and scale ML and Generative AI solutions for enterprise use cases.
• Develop AI capabilities including NLP, LLMs, RAG, AI Agents, and automation.
• Optimize AI models for performance, scalability, reliability, explainability, and maintainability.
• Collaborate with data engineering to build robust data pipelines for AI and analytics.
• Develop APIs, microservices, and AI services for production deployment.
• Implement MLOps best practices: CI/CD, testing, deployment automation, monitoring.
• Mentor engineers and promote AI/ML best practices across teams.

Skills

Python

NLP

LangChain

MLOps

LLMs

Education

Bachelor's or Master's in CS/AI/ML/Data Science/Engineering

Tools

LangChain

Semantic Kernel

Hugging Face

TensorFlow

PyTorch

Scikit-learn

Job description

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - AI/ML Engineer-NLP, Python, Machine learning, RAG, Langchain, etc (2384620)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Design, develop, train, evaluate, deploy, and scale Machine Learning and Generative AI solutions for enterprise business use cases
• Develop and implement advanced AI capabilities including NLP, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and intelligent automation solutions
• Optimize AI models and applications for performance, scalability, reliability, explainability, and maintainability
• Evaluate emerging AI technologies and recommend adoption strategies aligned with business objectives
• Translate complex business requirements into AI-driven solutions that deliver measurable outcomes
• Partner with data engineering teams to design and build robust data pipelines supporting AI and analytics initiatives
• Work with structured, semi-structured, and unstructured data to improve model accuracy and business insights
• Perform exploratory data analysis, feature engineering, and data quality assessments
• Identify trends, patterns, and opportunities that drive continuous model improvement and business decision-making
• Develop APIs, microservices, AI services, and integrations for seamless deployment of AI models into production environments
• Implement and maintain MLOps best practices, including CI/CD pipelines, model versioning, automated testing, deployment automation, and monitoring
• Collaborate with software engineering and platform teams to ensure AI solutions are secure, scalable, resilient, and operationally efficient
• Build reusable AI frameworks, accelerators, templates, and engineering standards to improve organizational productivity
• Monitor and maintain production AI solutions to ensure reliability and performance
• Establish model governance, validation, monitoring, and lifecycle management processes
• Apply Responsible AI principles including fairness, transparency, explainability, privacy protection, and bias mitigation
• Monitor model drift, performance degradation, and operational risks through observability frameworks
• Ensure compliance with enterprise security, regulatory, and governance requirements
• Partner with product managers, architects, engineers, business stakeholders, and data teams to define and deliver AI-driven solutions
• Lead technical discussions, architectural reviews, design sessions, and solution planning activities
• Mentor engineers and promote AI/ML best practices, engineering excellence, and technical growth
• Communicate technical concepts, risks, recommendations, and business impact effectively to technical and non-technical audiences
• Collaborate with cross-functional teams to achieve project and organizational objectives
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field
• 5+ years of professional experience developing, deploying, and supporting AI/ML solutions in enterprise environments
• Experience building and deploying machine learning models into production environments
• Experience developing APIs, microservices, and scalable cloud-native applications
• Experience with Agile, Scrum, and modern software development methodologies
• Knowledge of CI/CD pipelines, software testing, observability, version control, and secure software development practices
• Solid understanding of supervised learning, unsupervised learning, deep learning, NLP, LLMs, feature engineering, experimentation, and model evaluation techniques
• Solid proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, Semantic Kernel, Hugging Face, or similar technologies
• Proven solid analytical, problem-solving, communication, and stakeholder management skills
• Demonstrated ability to work independently while collaborating effectively across multiple teams

Preferred Qualifications:

• AI/ML, Cloud, Data Science, or Responsible AI certifications
• Experience mentoring engineers or leading AI/ML initiatives across multiple teams
• Experience with Generative AI platforms such as Azure OpenAI, OpenAI, Anthropic, Google Vertex AI, or equivalent enterprise AI services
• Experience implementing RAG architectures, vector databases, AI agents, prompt engineering, semantic search, and conversational AI applications
• Hands-on experience with MLOps platforms such as Azure ML, Databricks, MLflow, Kubeflow, SageMaker, or similar technologies
• Experience in healthcare, claims processing, automation, operations, compliance, or regulated industries
• Knowledge of distributed computing technologies such as Spark, Kafka, and enterprise-scale data platforms

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.