Machine Learning Associate Advisor - HIH - Evernorth
About Evernorth:
Evernorth 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.
Title: Machine Learning Associate Advisor
Position Summary:
You 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 solutions for automated document processing and customer service chat bots. We are looking for Machine Learning Advisor with strong experience on LLM’s and frameworks to develop GenAI solutions. Good understanding on Deep learning and strong programming skills are required as part of this role. Good to have full stack development expertise to evaluate new Large Language Models (LLMs) and make them available for 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.
8+ years of experience in Generative AI , LLM’s and frameworks to develop the Gen AI Solutions.
Responsibilities:
- Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions.
- Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
- Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions.
- Build solutions that align with responsible AI practices.
- Work with both open-source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions
- Optimize existing generative AI models for improved performance, scalability, and efficiency.
- Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Qualifications:
- Experience working with recommendation engines, data pipelines, or distributed machine learning.
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 6 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3+ years of experience in research with sequential modelling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
- Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning.
- Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.
- Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
- Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
- Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
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, with flexibility to work remotely as required.
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.
Skills Required
- 8+ years of experience in Generative AI, LLM's and frameworks to develop Gen AI Solutions
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- 6 years of experience in a technical leadership role
- 3+ years of experience in research with generative AI and deep learning architectures
- Programming experience in C/C++, Java, Python
- Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras
- Experience with natural language processing techniques and tools
- Strong knowledge of data structures, algorithms, and software engineering principles
- Familiarity with cloud-based platforms and services
- Strong communication skills
Cigna Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cigna and has not been reviewed or approved by Cigna.
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Strong & Reliable Incentives — Strong bonus outcomes are frequently highlighted, with annual bonuses described as really good alongside above-average salary levels. Stock or long-term incentive elements are also noted as part of the overall package in some roles.
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Leave & Time Off Breadth — Time-off benefits are portrayed as a meaningful part of total rewards, including generous PTO and flexibility that can enhance the perceived value of compensation. Flexible work-from-home arrangements are repeatedly linked with satisfaction about the overall package.
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Healthcare Strength — Health coverage is described as broad in design, with preventive care often covered at no charge in-network and options like virtual care and wellness incentives. A large provider network and strong digital tools are positioned as practical advantages when using benefits.
Cigna Insights
What We Do
At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind. As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable. Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.




