Machine Learning Lead Analyst - AI/ML Engineering
Position Overview
As a Machine Learning Lead Analyst, you will build scalable software solutions using LLMs and ML models to solve challenges in healthcare. You will implement enterprise AI systems in production for automated document processing and customer service chatbots, and develop generative AI solutions with extreme focus on privacy, security, and fairness for Evernorth’s healthcare platform.
Responsibilities
Build scalable software solutions using LLMs and other ML models to solve healthcare challenges.
Implement enterprise AI systems in production for document processing and customer service chatbots.
Develop generative AI solutions with focus on privacy, security, and fairness.
Design API integrations and low-code UI/UX solutions with short development cycles.
Architect and develop software for scalable, distributed systems with ML technologies.
Work with frameworks (TensorFlow, PyTorch) and platforms like Hugging Face to deliver solutions.
Optimize existing generative AI models for performance, scalability, and efficiency.
Develop and maintain AI pipelines including data preprocessing, feature extraction, model training, and evaluation.
Build extensible solutions to extract information, integrate with LLMs, and deliver insights on dashboards.
Create clear documentation including technical specifications and user guides for AI solutions.
Contribute to best practices and standards for generative AI development within the organization.
Envision solution outcomes for business problems with actionable insights and viable designs.
Qualifications:
5 – 8 years of overall experience with 3+ years of AI/ML expertise.
College degree (Bachelor/Master) in Computer Science, Artificial Intelligence, or related field.
Strong proficiency in Python and C# for full-stack development.
Experience with LLMs and Generative AI (GPT-4, transformers, text embeddings).
Proficiency with ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex).
Experience with vector databases (Pinecone) and information retrieval systems.
Cloud platform experience (AWS, GCP, or Azure) for deploying AI solutions.
Experience implementing enterprise AI systems in production settings.
Strong knowledge of data structures, algorithms, and software engineering principles.
Excellent communication skills for conveying complex AI concepts to diverse audiences.
Preferred Qualifications:
Experience with computer vision and NLP techniques.
Familiarity with reinforcement learning and transfer learning.
Healthcare domain experience.
Industry / Domain Experience Needed:
Demonstrated experience building enterprise AI/ML solutions at scale.
Ability to navigate a geographically diverse team and communicate effectively.
Familiarity with responsible AI practices and ethical AI development.
Passion for transforming healthcare through AI innovation.
Location & Hours of Work
Full-time position, working 40 hours per week. 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 practic
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
- 5-8 years overall experience with 3+ years of AI/ML expertise
- Bachelor's or Master's in Computer Science, Artificial Intelligence, or related field
- Strong proficiency in Python and C# for full-stack development
- Experience with LLMs and Generative AI (GPT-4, transformers, text embeddings)
- Proficiency with ML frameworks and platforms (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex)
- Experience with vector databases (Pinecone) and information retrieval systems
- Cloud platform experience (AWS, GCP, or Azure) for deploying AI solutions
- Experience implementing enterprise AI systems in production settings
- Strong knowledge of data structures, algorithms, and software engineering principles
- Excellent communication skills for conveying complex AI concepts to diverse audiences
- Experience with computer vision and NLP techniques
- Familiarity with reinforcement learning and transfer learning
- Healthcare domain experience
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.
