Milliman Recruitment Program 2026 :-
Milliman is hiring candidates for the role of Trainee AI Engineer for the New Delhi & Gurgaon locations. The complete details about Milliman Recruitment Program 2026 are as follows.
| Company Name:- | Milliman |
| Required Education: | Bachelor’s or Master’s degree |
| Required Skills: | Certifications in Azure, Databricks, or relevant AI/ML technologies are a plus. Strong proficiency in Python, SQL, and relevant ML libraries/frameworks |
| Job Category: | Information Technology |
| Requisition Number: | TRAIN010308 |
Qualifications
Educational Background:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
- Certifications in Azure, Databricks, or relevant AI/ML technologies are a plus.
Professional Experience:
- Hands-on experience through academic projects, internships, or personal work in building machine learning models (e.g., classification, regression, clustering, time series, or NLP).
- Familiarity or coursework exposure to cloud platforms and data/ML tooling (Azure, Databricks, or similar) for data processing and model experimentation.
Technical Expertise:
- Strong proficiency in Python, SQL, and relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Expertise in data manipulation and analysis using Pandas, NumPy, and PySpark and cloud platforms (Azure, AWS, GCP), with a focus on Azure Databricks.
- Experience in building and fine-tuning anomaly detection algorithms and predictive models. Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).
Domain Knowledge:
- Familiarity with healthcare claims data structures, terminologies (e.g., ICD codes, CPT codes), and workflows.
- Understanding of healthcare compliance and data privacy standards (e.g., HIPAA).
Soft Skills:
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and collaboration skills for working in cross-functional teams.
- Ability to manage multiple priorities in a fast-paced environment.
- Ability to work independently and collaboratively in a fast-paced environment.
- Passion for data and a drive to uncover insights.
Preferred Qualifications:
- Experience with Generative AI frameworks (e.g., GPT models, VAEs) and agentic AI
- Knowledge of healthcare fraud detection systems or predictive analytics in insurance.
- Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines
Skills Required
Key Responsibilities:
AI & Machine Learning Model Development:
- Design, develop, and optimize AI/ML models for tasks such as anomaly detection, fraud detection, and predictive analytics using healthcare claims data.
- Implement and fine-tune Generative AI and agentic AI algorithms for data synthesis and decision-making.
Collaboration & Implementation:
- Collaborate with cross-functional teams, including data engineers, software developers, and healthcare domain experts, to integrate AI solutions into existing workflows.
- Deploy machine learning models into production environments and monitor their performance over time.
Research & Innovation:
- Stay updated with advancements in AI/ML technologies and propose innovative approaches for solving complex healthcare challenges.
- Experiment with state-of-the-art frameworks and techniques to improve model performance and scalability.
Documentation & Compliance:
- Communicate complex technical concepts to both technical and non-technical audiences.
- Ensure all models and workflows comply with relevant data privacy and security standards (e.g., HIPAA).
- Document processes, results, and best practices for knowledge sharing and reproducibility.
Milliman Recruitment Program 2026 Application Process:-
Apply In Below Link
Note:– Only shortlisted candidates will receive the call letter for further rounds
