AI/ML Engineer

UnitedHealth Group; Pune District; On-site; Confidential; Full time

Job summary

UnitedHealth Group in Pune District is seeking AI/ML engineers to develop cutting-edge machine learning models. The role requires strong experience in software development and AI/ML solutions, with a focus on ethical practices.

Ideal candidates will have a bachelor's or master's degree in computer science and at least 2 years of relevant experience. Strong skills in Python and cloud-based AI services are essential for this role.

Qualifications

• 2+ years of experience delivering solutions focused on AI/ML.
• 5+ years of experience in software development.
• Extensive experience with generative AI solutions using OpenAI compatible APIs.

Responsibilities

• Develop new machine learning models and work with AI/ML engineers.
• Conduct rigorous experimentation and benchmarking.
• Optimize training pipelines for large-scale model deployment.

Skills

Generative AI solutions

AI/ML

Software development

Python

Deep learning frameworks

Azure Functions

Cloud-based AI services

Frontend development (React/Angular)

Backend services (Java/.NET)

Communication skills

Education

Bachelor's or master's degree in computer science or related field

Graduate degree or equivalent experience

Tools

Azure Monitor

Databricks

AI Foundry

GitHub

Job description

Responsibilities

• Experience to collaborate and work with Sr. AI/ML engineers and Lead to develop new machine learning models from scratch or improvising it
• Work with Sr. AI/ML engineers and Leadfor Experiments with novel model architectures or algorithms
• Up to date with cutting-edge AI models, including deep learning, reinforcement learning, and generative architectures
• Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments
• Prototype and refine novel algorithms to improve model performance, scalability, and interpretability
• Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications
• Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness
• Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research
• Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design
• Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning
• Partner with data engineering and product teams to integrate AI solutions into production systems

Required Qualifications

• Bachelor's or master's degree in computer science, Engineering, or a related field
• Graduate degree or equivalent experience
• 2+ years of experience delivering solutions with a focus on AI/ML
• 5+ years of experience in software development
• Extensive experience implementing generative AI solutions using OpenAI compatible APIs
• Hands-on experience with Azure Functions, Azure Monitor, and App Insights
• Experience with Cloud-based AI and data services, Python, Databricks, RAG, Agentic, AI Foundry, LangFuse
• Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn, Python, Databricks, RAG, Agentic, AI Foundry, LangFuse
• Experience with frontend development using React or Angular, and backend services using Java or .NET
• Solid understanding of RAG architecture including knowledge of vector databases and semantic search
• Advanced proficiency in Python for AI/ML and automation
• Proven expertise in Azure Document Intelligence, OCR, and Databricks
• Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML
• Proven to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques
• Proven to drive end-to-end delivery of AI-powered solutions across cross-functional teams
• Proven excellent communication and stakeholder management skills

Preferred Qualifications

• Azure certifications (e.g., Azure AI Engineer Associate, Azure Developer Associate)
• Experience with prompt engineering and fine-tuning LLMs
• Experience working in agile development environments
• Agentic AI concepts & Implementation