8 jobs in Hyderabad

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.

Primary Responsibilities

• Design, develop, test, deploy, and maintain artificial intelligence, machine learning, and software application solutions under guidance from senior engineers and technical leads
• Contribute to the delivery of artificial intelligence initiatives and broader engineering projects, including application development, platform enhancements, integrations, and automation solutions
• Apply machine learning and artificial intelligence techniques such as natural language processing, natural language understanding, intent classification, semantic analysis, computer vision, deep learning, and speech technologies to solve business problems
• Translate business requirements, research findings, and analytical insights into scalable and maintainable software and machine learning solutions
• Collaborate with cross-functional teams including product managers, data scientists, engineers, and business stakeholders to deliver high-quality solutions
• Develop, train, evaluate, monitor, and optimize machine learning models and artificial intelligence applications to meet performance, reliability, and business objectives
• Participate in data preparation, feature engineering, model experimentation, testing, validation, and deployment activities throughout the machine learning lifecycle
• Communicate technical concepts, project progress, and analytical findings effectively to team members and stakeholders
• Leverage enterprise artificial intelligence tools and technologies to improve productivity, accelerate development, and deliver measurable business value
• Follow responsible artificial intelligence practices, including security, privacy, fairness, transparency, and compliance requirements in the design and deployment of solutions
• Continuously develop technical expertise in artificial intelligence, machine learning, software engineering, cloud technologies, and modern development practices while contributing to team knowledge sharing and innovation
• 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 regard 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
  
  

• Graduate degree or equivalent experience, such as a bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field
• 2+ years of professional experience in software engineering, machine learning engineering, artificial intelligence development, or related technical disciplines
• Experience developing, testing, and maintaining software applications using modern programming languages and engineering best practices
• Hands-on experience with backend development technologies such as .NET / .NET Core and front-end frameworks such as Angular, React, or similar web technologies
• Foundational experience building, training, evaluating, or deploying machine learning and artificial intelligence solutions, including natural language processing, large language models, classification models, computer vision, or predictive analytics
• Experience working with relational databases such as MySQL, SQL Server, or PostgreSQL, and source control systems such as GitHub
• Experience with cloud platforms, data processing tools, APIs, and modern software development lifecycle practices including Continuous Integration and Continuous Delivery (CI/CD)
• Knowledge of machine learning frameworks, libraries, and tools such as Python, TensorFlow, PyTorch, Scikit-learn, LangChain, Semantic Kernel, or equivalent technologies
• Ability to analyze data, troubleshoot technical issues, and contribute to scalable, secure, and maintainable software and artificial intelligence solutions
• Solid communication, collaboration, and problem-solving skills with the ability to work effectively in cross-functional teams