Sr AI/ML Engineer

Requisition Number: 2358514
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.
We are looking for a highly talented AI/ML Engineer with expertise in Natural Language Processing (NLP), Optical Character Recognition (OCR), Machine Learning (ML), and cloud-based AI solutions to join our dynamic team. The ideal candidate will be instrumental in revolutionizing our workflows by leveraging AI-driven automation and enhancing efficiency, with a focus on modernizing fax processes and telephony systems. This role demands a solid technical background, strong analytical skills, ethical decision-making, and a collaborative mindset to deliver impactful solutions that align with both organizational objectives and societal values.
Primary Responsibilities:

• Architect, deliver hands-on, mentor & review other team members and deliver on timelines with all dependencies and innovative needs thought out, coordinated with cross-team stakeholders
• Work with product management, design, support and other dev teams members to create high-quality solutions
• Solve difficult and sometimes ambiguous problems
• Be a team player, show due diligence, your own creativity, take team input, own & design deliverables with deep security expertise
• 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:

• Undergraduate degree or equivalent experience
• 3+ years of experience working with Natural Language processing
• 3+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
• 3+ years of experience leveraging cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring
• 2+ years of experience working with Retrieval-Augmented Generation

Preferred Qualifications:

• 6+ years of AI/ML Engineering experience
• Experience with Optical Character Recognition (OCR) for document digitization and data extraction
• Experience with Intelligent document processing
• Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask, Django etc.
• Experience working in accordance with Dev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, Git etc.)
• Expert knowledge of Python/SQL and AI/ML libraries (tensorflow/PyTorch/SciKit/Seaborn etc.)
• Familiarity with telephony systems, including voice processing, speech recognition, and platform integration
• Proven track record of shipping and maintaining production, enterprise scale AI applications and data science products
• Proven solid computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance

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.
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