Associate Manager AI/ML Engineering
Noida, Uttar Pradesh
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- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop and implement AI and machine learning strategies primarily in marketing domains.
Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives
From the employer’s posting
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
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
What you’ll bring
All qualificationsCore experience
- 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
Preferred experience
- 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
Qualification wording
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
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
Tools in this posting
- Python
- AWS
- Azure
- Docker
- MLflow
- Keras
- PyTorch
- TensorFlow
- Google Cloud (GCP)
- Kubernetes
- scikit-learn
Source — Tool mentions in context
- 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
- 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
- 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
- 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
Job description
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
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- Location & working pattern
Noida, Uttar Pradesh
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- Status in our records
- Active
- First seen by us
- Sep 17, 2026
- Recorded sightings
- 66
- Last seen by us
- Oct 8, 2026
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