Machine Learning Senior Analyst - HIH - Evernorth

Posted Yesterday
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Hyderabad, Telangana, IND
In-Office
Senior level
Healthtech • Insurance
The Role
Design, develop, and deploy agentic GenAI solutions integrating UIs, APIs, LLMs and Python models. Build scalable AI pipelines, fine-tune models, integrate with cloud and legacy systems, support product teams, and ensure responsible AI practices across the software lifecycle.
Summary Generated by Built In

Machine Learning (AI) Senior Analyst

Position Overview

We’re looking for an Engineer who will be responsible for accelerating us on the embedded solutions(UI/API & LLM) journey for our platforms. The journey requires building foundational capabilities/patterns and enabling teams from a design, technical architecture and selecting cloud services wisely. This role required proven technology leadership with strong hands-on digital experience.

We are seeking a highly skilled and innovative Agentic AI Developer with 3–5 years of experience to join our team. This role is ideal for professionals who bring a strong foundation in full-stack development and have evolved into AI/ML, GenAI, and Agentic AI domains. You will be instrumental in designing, developing, and deploying intelligent systems that leverage Large Language Models (LLMs) and agentic architectures to solve complex business problems.

Responsibilities

• Understands a program’s architecture/design, logical and physical data models.

• Design and develop an embedded application that comprises of UI, API development & integration with LLM & Python model to provide accurate recommendations.

• 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 both open-source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions

• Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions.

• Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

• Support other product delivery partners in the successful build, test, and release of solutions

• Ability to work on projects independently with minimal or no oversight required.

• Examine and discover methods to improve the accuracy, effectiveness, and dependability of data quality and support.

• Support the full software lifecycle of design, development, testing, and support for technical delivery

• Understand the Business and the Application Architecture End to End

• Participate in daily team standup meetings where you'll give and receive updates on the current backlog and challenges.

• Build solutions that align with responsible AI practices.

• Optimize existing generative AI models for improved performance, scalability, and efficiency.

Qualifications

Required Skills:

· Bachelor’s Degree in Information Technology or Computer Science or Engineering or related course work

· 3-5 years of Experience working in Design, fine-tune, and deploy LLMs for enterprise use cases.

· Build agentic systems capable of autonomous decision-making and task execution.

· Integrate LLMs with legacy systems and modern cloud-native applications.

· 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.

· Develop and optimize ML models for classification, prediction, and recommendation tasks.

· Contribute to front-end and back-end development using Node.js, Python. Work with AWS services for scalable deployment of AI/ML solutions.

· Design and manage SQL Server databases and data pipelines.

· Experience in working with GenAI, agentic frameworks like OpenAI API, LangChain, CrewAI.

· Work closely with cross-functional teams including architects, product owners, and business stakeholders.

· Strong knowledge of data structures, algorithms, and software engineering principles.

· Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.

· Strong communication skills, with the ability to effectively convey complex technical concepts to

a diverse audience.

Required Experience & Education:

• Proven experience with design and development of large-scale enterprise application solutions.

• College degree (Bachelor) in related technical/business areas or equivalent work experience.

• 3-5 years of experience in Software engineering

• Hands-on experience engineering/developing modern on-prem/public AWS solutions, Python and LLM models.

• Willing to learn, go above and beyond attitudes.

• Experience with modern and legacy development languages.

Desired Experience: 

• Healthcare experience is preferred.

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.

Skills Required

  • Bachelor's Degree in Information Technology, Computer Science, Engineering or related
  • 3-5 years experience designing, fine-tuning, and deploying LLMs for enterprise use cases
  • 3-5 years experience in software engineering with hands-on development
  • Experience building agentic systems capable of autonomous decision-making and task execution
  • Integrate LLMs with legacy systems and cloud-native applications
  • Experience with TensorFlow, PyTorch or Keras
  • Experience with NLP tools such as SpaCy, NLTK or Hugging Face
  • Develop and optimize ML models for classification, prediction, and recommendation
  • Full-stack contributions including front-end and back-end using Node.js and Python
  • Experience with AWS services for scalable deployment (experience with GCP/Azure familiarity)
  • Design and manage SQL Server databases and data pipelines
  • Experience with GenAI and agentic frameworks (OpenAI API, LangChain, CrewAI)
  • Strong knowledge of data structures, algorithms, and software engineering principles
  • Proven experience designing and developing large-scale enterprise application solutions
  • Hands-on experience engineering/developing modern on-prem/public AWS solutions and LLM models
  • Strong communication skills to convey complex technical concepts to diverse audiences
  • Healthcare 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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Bloomfield, CT
74,000 Employees
Year Founded: 1982

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.

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