Associate AI ML Engineer

Optum India; Gurgaon; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Optum India is seeking an AI/ML Engineer to design and deploy models that solve business problems and improve health outcomes. You will work with data scientists, engineers and product teams to translate research into production-ready solutions.

The role requires 3+ years in AI/ML, strong Python, and experience with TensorFlow, PyTorch, Scikit-learn. You will analyze data, communicate results to stakeholders, and apply solid statistical methods.

Qualifications

• 3+ years of AI/ML experience.
• Experience with end-to-end AI/ML project lifecycle.
• Strong mathematical and statistical fundamentals.
• Hands-on production AI/ML delivery.
• Ability to communicate & collaborate with stakeholders.
• Experience with Python-based data tooling.

Responsibilities

• Design, develop, and deploy AI/ML models to solve business problems.
• Collaborate with cross-functional teams to identify AI opportunities.
• Analyze data and interpret results to support decisions.
• Stay updated on AI/ML trends and advancements.
• Provide explanations and interpretations within the domain.
• Uphold ethical AI throughout the development lifecycle.
• Translate AI research into production-ready capabilities with cross-functional teams.
• Comply with company policies and employment terms.

Skills

AI/ML experience

Data analysis

Communication & teamwork

Problem solving

Education

Bachelor's or Master's in Computer Science/Data Science/Statistics

Tools

Scikit-learn

TensorFlow

PyTorch

Python

SQL

Pandas

NumPy

Job description

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.

AI/ML Engineers code and develop software that deploys ML models and algorithms in production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employee AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Applies deep learning technologies to give computers that capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. AI/ML Applied Scientists specialize in advancing and applying artificial intelligence through research-driven, experimental research, and translate research findings into practical AI solutions for the organization. Basic, structured, standard approach to work.

Primary Responsibilities

• Design, develop, and implement AI/ML models to solve complex business problems
• Collaborate with cross-functional teams to identify opportunities for AI/ML integration
• Conduct data analysis and interpret results to drive decision-making
• Stay current with the latest trends and advancements in the field of AI/ML
• Analyzes and investigates
• Provides explanations and interpretations within area of expertise
• Ai Scientist Responsibilities: (manager discretion if AI responsibilities are already present in JD)
• Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development 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

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 3+ years of experience in AI/ML
• Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
• Hands-on experience in delivering production-grade AI/ML projects
• Solid understanding of mathematical and statistical concepts
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Proven solid programming skills in Python, with experience in pandas, numpy, and SQL
• Proven excellent problem-solving and analytical thinking skills
• Proven solid communication and collaboration skills to work effectively in a team environment

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.