Senior AI/ML Engineer

Description - External

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.

We are seeking a highly skilled and experienced Data Scientist to join our team based in Bangalore. As a Data Scientist, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2 to 4 years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable.

Primary Responsibilities:

Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL
Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy modelsPerform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in dataBuild, tune, and evaluate machine learning models for predictive and prescriptive analyticsConduct drift analysis to monitor model performance and ensure accuracy over timeCollaborate with cross-functional teams to understand business requirements and translate them into technical solutionsWork on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deploymentEnsure the scalability, reliability, and efficiency of AI/ML solutions in production environmentsStay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutionsDocument and communicate findings, methodologies, and insights to technical and non-technical stakeholdersComply 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

Qualifications - External

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
Atleast 10 years of experience with 5+ years of experience in Data Science, AI/ML, or a similar roleExperience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysisHands-on experience in delivering production-grade AI/ML projectsProficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorchSolid programming skills in Python, with experience in pandas, numpy, and SQLSolid understanding of mathematical and statistical conceptsProven excellent problem-solving and analytical thinking skillsProven solid communication and collaboration skills to work effectively in a team environment

Preferred Qualifications:

Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
Familiarity with the US Healthcare domain

Careers with Optum.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.