Machine Learning Associate Advisor ABOUT EVERNORTH Evernorth exists to elevate health for all because we believe health is the starting point for human potential and progress As champions for affordable predictable and simple health care we solve the problems others don t won t or can t Our innovation hub in India will allow us to work with the right talent expand our global footprint improve our competitive stance and better deliver on our promises to stakeholders We are passionate about making healthcare better by delivering world-class solutions that make a real difference We are always looking upward And that starts with finding the right talent to help us get there Position Overview The Pharmacy Benefit Services Technology organization is seeking a Machine Learning Associate Advisor to join our team This Band 3 Contributor role is a key part of the group driving innovation and operational excellence across the enterprise In this role you will lead the development of intelligent automated systems that streamline the Software Development Lifecycle SDLC by enabling scalable low-maintenance solutions and accelerating solution adoption A primary deliverable includes a self-service onboarding kit that empowers users regardless of technical expertise to begin using the solution within minutes with zero coding and no ongoing maintenance required You will operate within a high-performance high-frequency enterprise technology environment collaborating closely with IT leadership and cross-functional teams to design reusable adaptable solutions Your focus will be on reducing redundancy promoting reusability and upholding high standards of engineering excellence Your solutions will be designed for broad adoption across multiple stakeholder groups including developers end-to-end testers business analysts and operations teams By enabling shared tooling and consistent automation frameworks you will foster greater collaboration reduce the creation of duplicate or siloed products and improve the overall quality and consistency of enterprise systems Responsibilities Lead the design and implementation of intelligent automation solutions that streamline the Software Development Lifecycle SDLC from development through testing and deployment Provide comprehensive consultation to business units IT management and technical teams on all aspects of application development testing and automation across diverse environments Develop self-service onboarding kits and reusable frameworks that enable rapid adoption by users with varying technical backgrounds requiring no additional coding or maintenance Offer architectural leadership and AI ML guidance ensuring alignment with enterprise technology strategy and long-term scalability Conduct in-depth research to identify and recommend efficient cost-effective and scalable AI ML automation solutions across the SDLC including test data generation code test case script generation root cause analysis and predictive analytics Collaborate with cross-functional stakeholders developers testers business analysts and operations teams to ensure solutions are adaptable reusable and reduce duplication across the enterprise Enhance quality assurance through intelligent validation monitoring and automation strategies that support both functional and non-functional testing Increase developer productivity by automating repetitive tasks and integrating intelligent tooling into development workflows Accelerate speed to market by enabling faster more reliable delivery of features through CI CD and DevOps practices Demonstrate industry-leading technical expertise to improve product quality and optimize day-to-day engineering operations Understand and manage upstream downstream impacts across front-end and back-end architectural modules Use heat matrices and analytics to prioritize quality and development engineering resources on high-impact areas while identifying lower-priority zones Proactively monitor and manage automation solutions to ensure scalability stability flexibility simplicity performance availability security and capacity Troubleshoot and optimize automation artifacts for seamless execution in CI CD pipelines and local environments minimizing dependency conflicts and reducing cycle time Drive adoption of automation solutions across teams ensuring they are low-maintenance enhancement-ready and require no deep technical intervention Promote a culture of automation encouraging teams to adopt automated processes wherever feasible Serve as a recognized subject matter expert SME in AI ML-driven automation and enterprise engineering practices Qualifications Required Skills Foundations in Machine Learning and Deep Learning Strong understanding of algorithms neural networks supervised and unsupervised learning and experience with frameworks such as TensorFlow PyTorch and Keras Generative AI Practical knowledge of generative AI techniques and architectures including GANs Generative Adversarial Networks VAEs Variational Autoencoders and Transformers for tasks such as content generation summarization and synthetic data creation Natural Language Processing NLP Proficiency in NLP techniques and libraries such as spaCy NLTK and Hugging Face Transformers for tasks like text generation classification and conversational AI Prompt Engineering Fine-Tuning Basic understanding of prompt engineering fine-tuning of large language models and Retrieval-Augmented Generation RAG for domain-specific applications Model Deployment Experience deploying models using TensorFlow Serving TorchServe or cloud-based platforms like AWS SageMaker and Google AI Platform Programming Expertise Strong foundation in Python and practical experience applying it in AI ML workflows to transition from traditional development to agile innovation-driven solutions Containerization Orchestration Hands-on experience with Docker and Kubernetes OpenShift for packaging and managing scalable applications CI CD Pipelines Knowledge of continuous integration and deployment practices tools and automation strategies Security Best Practices Understanding of security principles including Identity and Access Management IAM encryption and network security to ensure safe deployment of AI ML solutions Cloud Services Familiarity with cloud platforms such as AWS Google Cloud and Azure for deploying managing and scaling applications and machine learning models Required Experience Education Bachelor s degree in Computer Science Engineering Data Science or a related technical field 8 years of experience in software engineering automation or machine learning within enterprise environments Solid programming skills in Python or similar languages with experience in building scalable automation solutions Hands-on experience with machine learning frameworks e g TensorFlow PyTorch Scikit-learn and automation tools Proven ability to design and implement end-to-end solutions that integrate across development testing and operational environments Solid understanding of CI CD pipelines DevOps practices and SDLC methodologies Demonstrated ability to consult and collaborate with cross-functional teams including business operations and IT leadership Desired Experience Proven experience leading or contributing to enterprise-scale AI ML automation initiatives across the full Software Development Lifecycle SDLC Demonstrated success in designing and deploying self-service low-maintenance automation solutions adopted by cross-functional teams including development QA business and operations Experience working in Agile environments with a strong understanding of DevOps principles and CI CD integration Hands-on experience with implementing Generative AI solutions in real-world applications including content generation summarization or intelligent test automation Track record of reducing product duplication and improving system quality through reusable architecture and shared tooling Experience collaborating with architecture security and infrastructure teams to ensure scalable secure and compliant solution delivery Familiarity with enterprise environments involving hybrid cloud infrastructure container orchestration and secure data pipelines Strong communication and leadership skills with the ability to influence stakeholders and drive adoption of innovative technologies across diverse teams Location Hours of Work Full-time position working 40 hours per week Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad India in a hybrid working model 3 days WFO and 2 days WAH Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity equity and inclusion efforts to educate inform and advance both internal practices and external work with diverse client populations About Evernorth Health Services Evernorth Health Services a division of The Cigna Group creates pharmacy care and benefit solutions to improve health and increase vitality We relentlessly innovate to make the prediction prevention and treatment of illness and disease more accessible to millions of people Join us in driving growth and improving lives

📌 Machine Learning Associate Advisor - Hih - Evernorth (Andhra Pradesh)
🏢 The Cigna Group
📍 Andhra Pradesh