Job Summary

You will be part of a team focused on transforming healthcare and improving the lives of millions of members through innovative AI/ML solutions. The role involves developing and supporting machine learning models and data-driven solutions for use cases such as document processing, analytics, and intelligent automation.

As a Machine Learning Analyst, you will work closely with senior engineers, product teams, and business stakeholders to build, test, and deploy scalable AI solutions. This role requires strong analytical thinking, foundational machine learning skills, and a passion for solving real-world healthcare problems.

Responsibilities

- Develop and implement machine learning models under guidance to solve business problems in healthcare.
- Work on data preprocessing, feature engineering, and model evaluation as part of AI/ML pipelines.
- Assist in building and integrating ML solutions with APIs and applications.
- Collaborate with cross-functional teams (engineering, product, data teams) to understand requirements and deliver solutions.
- Support development of AI solutions that adhere to privacy, security, and responsible AI principles.
- Work with structured and unstructured data, including text data for NLP use cases.
- Assist in optimizing model performance and improving accuracy through iterative testing.
- Create basic dashboards, reports, or visualizations to present insights.
- Participate in code reviews, testing, and debugging to ensure quality delivery.
- Document solutions, workflows, and model behavior for reuse and knowledge sharing.

Experience Required

- 0-1 years of experience in Machine Learning / Data Science / AI domain.




- Develop and support agentic AI workflows using frameworks such as LangChain, LangGraph, or similar orchestration tools.
- Basic understanding of machine learning concepts such as classification, regression, clustering, and NLP.
- Exposure to model development lifecycle (data preparation, training, evaluation).
- Experience working in a team environment on shared deliverables or projects.

Experience Desired

- Exposure to Generative AI / LLM concepts and prompt engineering.
- Knowledge of vector databases or basic information retrieval concepts.
- Experience working with data formats like CSV, JSON, or documents (PDF, Word).

Education and Training Required

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.

Primary Skills

- Strong foundation in machine learning and data analysis.
- Good understanding of data structures and programming fundamentals.
- Knowledge of Python-based ML tools and frameworks.
- Familiarity with cloud-based environments.

Additional Skills

- Strong analytical and problem-solving skills.
- Positive communication skills to work with both technical and non-technical stakeholders.
- Ability to work collaboratively in a fast-paced team environment.
- Willingness to learn and adapt to emerging AI/ML technologies.

Location & Hours of Work

Hyderabad and Hybrid (2:30 PM IST to 11:30 PM IST)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Machine Learning Associate Analyst - HIH - Evernorth (Hyderabad)
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