{"id":4020364,"url":"https://alion.io/job/the-cigna-group-machine-learning-associate-advisor-hih-evernorth-2","title":"Machine Learning Associate Advisor - HIH - Evernorth","company":{"id":13928,"name":"The Cigna Group","domain":"thecignagroup.com","url":"https://alion.io/company/thecignagroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":82,"ghost_share":0.037,"stale_share":0.524,"repost_share":0.098,"time_to_fill_p50_days":20,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"Hugging Face","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Keras","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"NLTK","optional":false},{"name":"OpenShift","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Rest API","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"spaCy","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TorchServe","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-11-10T14:50:05Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T14:50:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Evernorth:\nEvernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits 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.\nJob Title: Machine Learning Associate Advisor\nYou will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop AI powered solutions healthcare applications. We are looking for Forward Deployed Engineer with strong experience on LLM’s and frameworks to develop GenAI / Agentic solutions. Good understanding on Deep learning and strong Python full stack engineering skills are required as part of this role. Candidate should have full stack development expertise to leverage Large Language Models (LLMs) and use them in the enterprise in a compliant and secure manner. The work you do will impact millions of customers, members, and employers that rely on Cigna every day. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role.\nResponsibilities\nEmbed with Business and Product Development to ship production AI systems.\nArchitect scalable, resilient generative and agentic AI solutions for the business.\nBuild with large language models, open-source models, machine learning, and numerical frameworks.\nMaintain pipelines for preprocessing, feature extraction, model training, and evaluation.\nBuild agentic workflows with tool limits, human oversight, and safe fallbacks.\nOptimize generative models for quality, scalability, latency, and efficiency.\nApply responsible AI through use limits, evaluation, traceability, and human approval.\nTranslate model, infrastructure, and business AI trends into architecture decisions.\nPractice AI-driven development: agents plan and build; humans approve critical decisions.\nRun AI DLC inception, Run AI DLC construction, AI proposes architecture, code, and tests; humans approve.\nKeep one traceable context from business intent through code, tests, and operations.\nLead real-time team review of AI plans, designs, and generated code.\nMeasure field outcomes and return supportable systems to Product Development.\n9+ years of total experience.\n5+ years of experience in Fullstack development (Frontend, Backend Services, DB and Cloud)\n5+ Programming experience in Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning.\n2+ year in developing Agentic AI solutions and its integration with other systems.\n2+ years of experience in deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.\nQualifications:\nExperience working with recommendation engines, data pipelines, or distributed machine learning.\nDegree in Computer Science, Artificial Intelligence, Machine Learning, and related field.\nExperience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.\nExperience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.\nStrong knowledge of data structures, algorithms, and software engineering principles.\nStrong knowledge with AWS cloud-based platforms and services.\nExcellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.\nStrong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.\nPossess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.\nDetailed list of Skillset required -\n### Front-End Development Skills\n1. HTML/CSS/JavaScript: Proficiency in the core technologies for building web interfaces.\n2. Front-End Frameworks: Knowledge of frameworks like React for creating interactive and responsive user interfaces.\n3. UI/UX Design: Basic understanding of user experience and user interface design principles.\n### Back-End Development Skills\n1. Server-Side Languages: Proficiency in server-side languages with Python.\n2. APIs: Experience in building and consuming RESTful, Flask / Fast API / and GraphQL APIs.\n3. Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc.\n### DevOps and Cloud Skills\n1. Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications.\n2. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices using GitHub Actions\n3. Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security.\n4. Cloud Services: Good hands-on with AWS cloud platforms for deploying and managing applications and AI models.\n### AI and Machine Learning Skills\n1. Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras.\n2. Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers.\n3. Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks.\n4. Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform).\n5. Hands-on knowledge of implementing Prompt Engineering, Finetuning and RAG.\n6. Hands-on knowledge of building Agents and Agentic workflows.\n### Additional Skills\n1. Version Control: Proficiency with Github and version control workflows.\n2. Software Development Practices: Understanding of agile methodologies, testing, and code review practices.\nEducation and Training Required:\nDegree in Computer Science, Artificial Intelligence, or a related field.\nLocation & Hours of Work:\nFull-time position, working 45 hours per week. Expected overlap with US hours as appropriate.\nPrimarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.\nEqual Opportunity Statement:\nEvernorth 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.\nAbout Evernorth Health Services\nEvernorth 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. 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