Associate Manager AI/ML Engineering

Posted 49 Minutes Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Leads the development and implementation of AI, machine learning, and generative AI strategies, primarily for marketing applications. Collaborates with cross-functional teams to prioritize initiatives, builds production-ready solutions, and applies advanced techniques including NLP, computer vision, deep learning, recommender systems, reinforcement learning, and large language models. Drives automated deployments through DevOps, DevSecOps, CI/CD, and full SDLC/AIDLC practices while communicating complex analytics to leadership.
Summary Generated by Built In
Requisition Number: 2372407
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.
This role communicates and presents complex analytics results and concepts to leadership and internal stakeholders. The role employs AI and/or ML techniques that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).
The role works with large-scale computing frameworks and data analysis systems. The role is expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using code for tool building and statistical analysis, using both general purpose software and statistical languages.
Primary Responsibilities:
  • Develop and implement AI and machine learning strategies primarily in marketing domains. Understanding of the complete content supply chain will be added advantage
  • Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives
  • Hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable
  • Possess deep expertise AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC/AIDLC lifecycle
  • 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:
  • Master's degree in computer science, Engineering, Mathematics, Statistics, or a related discipline
  • 6+ years of experience in Software Engineering, Data Science, or Analytics, with at least 8 years in AI/ML engineering or related fields and the last 3 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
  • Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
  • Experience with cloud platforms such as AWS, Azure, and GCP
  • Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
  • Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
  • Proficiency in Python or other programming languages for data analysis and AI/ML development
  • Proven expertise in AI/ML techniques including deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, and large language models

Preferred Qualifications:
  • Masters/Graduate Engineering, Mathematics, Statistics, or a related discipline
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Experience in establishing and enforcing AI/ML best practices, standards, and ethics
  • Experience in Realizing Value from AI/ML products as well as production ready product
  • Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases

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.

Skills Required

  • Master's degree in computer science, engineering, mathematics, statistics, or a related discipline
  • 6+ years of experience in software engineering, data science, or analytics, with at least 8 years in AI/ML engineering or related fields
  • At least 3 years focused on generative AI technologies, including OpenAI, Claude, Gemini, LangChain, agents, RAG, vector databases, prompt engineering, and fine-tuning
  • Experience with MLflow, TensorFlow, PyTorch, Keras, and Scikit-learn
  • Experience with AWS, Azure, and GCP
  • Experience with DevOps and CI/CD practices and tools including Git, Jenkins, Docker, and Kubernetes
  • Hands-on experience developing innovative AI and machine learning solutions
  • Proficiency in Python or other programming languages for data analysis and AI/ML development
  • Expertise in deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, and large language models
  • Graduate engineering, mathematics, statistics, or related degree
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Experience establishing and enforcing AI/ML best practices, standards, and ethics
  • Experience realizing value from AI/ML products and delivering production-ready products
  • Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Parental & Family Support Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
  • Retirement Support A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
  • Equity Value & Accessibility An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
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Davao, Philippines
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Bengaluru, India
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