Director AI/ML Engineering

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 

As the Principal AI/ML Engineer, you will be leading the AI/ML team in India. You and your team will be responsible for the development, execution and enablement of the design and deployment of high impact enterprise AI problems, including problems related to disease prediction and identification, patient engagement, and optimization of clinical trials using both structured and unstructured (text) data. As a thought leader, you will establish guidance on how to develop, execute, and deploy AI models in compliance with enterprise standards. As a subject matter expert, you will work closely with other engineering teams and leaders to drive the adoption of quality and efficiency standards.

Primary Responsibility:

• 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:

• Graduate degree from a renowned institute in: Engineering/Statistics/Economics/Computer Science/ Mathematics (with a solid quantitative background)
• Experienced researcher with 10+ years of experience in developing and deploying Machine Learning (ML) solutions to generate business value
• 4+ years of mentoring, and grooming a small team of Data Scientists or ML Engineers
• Worked in Healthcare and have prior understanding of the kind of data, systems and problems involved in Healthcare
• Worked hands-on using pre-trained models leveraging Transfer Learning, as well as using frameworks or libraries for NLP (e.g. Hugging Face, spaCy etc.) and CV (e.g. OpenCV)
• Experience in ML R&D with demonstrable impact
• Demonstrated hands on experience in using algorithm libraries or frameworks like PyTorch, TensorFlow and H2O
• Demonstrated hands on experience in working with Big Data technologies such as SPARK
• Worked hands-on on the cloud and have familiarity with cloud-based AI/ML services
• Exposure to U.S. Healthcare
• Knowledge of Java and / or R
• Knowledge of Azure
• Solid theoretical and practical knowledge of some or most econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal
• Knowledge on Component Analysis, Factor Analysis, Multidimensional Scaling etc.
• Solid theoretical and practical knowledge of some or most Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XG Boost etc.
• Solid theoretical and practical knowledge of some or most Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV) Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organization
• Solid to expert level programming ability Python
• Proven ability to possess solid technical writing skills and must have published research papers in leading academic journals on topics related to Artificial Intelligence and Machine Learning
• Proven ability to possess good presentation and public speaking skills; ability to organize and present information to audiences with disparate levels of technical understanding
• Proven ability to work well in a matrix organization and possess solid collaboration skills as well as the ability to build partnerships
• Proven ability to work well under pressure in a fast-paced environment
• Proven excellent consulting skills, including the ability to engage with and present to CXO leaders as well as stakeholders with minimum to high analytics exposure across various departments in an organization
• Proven good conflict management and prioritization skills
• Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solution
• Proven professional, service oriented, proactive and flexible

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.