Machine Learning Engineer (Predictive Analytics – Healthcare)About the Role

We are seeking an experienced Machine Learning Engineer to join our team for an initial experimental engagement focused on predictive analytics within the healthcare industry. The ideal candidate will have strong expertise in machine learning, statistical modeling, healthcare data analysis, and MLOps, with a deep understanding of U.S. healthcare provider data and prescription behavior.

This role offers an opportunity to work on high-impact healthcare analytics initiatives, uncover actionable insights, and build scalable predictive solutions that drive business value.

Key Responsibilities

• Design, develop, and deploy machine learning models for predictive analytics and forecasting.
• Analyze large-scale healthcare datasets to identify patterns, trends, and opportunities related to provider engagement and prescription behavior.
• Develop advanced statistical and machine learning solutions to support business decision-making.
• Proactively discover meaningful insights and recommend data-driven opportunities beyond predefined use cases.
• Build scalable and maintainable ML pipelines and production-ready solutions.
• Collaborate with data engineers, business stakeholders, and cross-functional teams to integrate models into operational workflows.
• Monitor model performance and implement continuous improvement processes.
• Ensure adherence to data governance, security, and healthcare industry best practices.

Required QualificationsTechnical Skills

• Strong expertise in machine learning, predictive modeling, and statistical analysis.
• Hands-on experience with Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Experience designing and implementing MLOps workflows, model deployment, monitoring, and lifecycle management.
• Advanced SQL and data engineering skills.

Data Platforms

• Extensive experience working with Snowflake.
• Experience handling large-scale structured healthcare datasets.

Domain Expertise

• Deep understanding of the U.S. healthcare ecosystem.
• Strong knowledge of National Provider Identifier (NPI) data and U.S. healthcare taxonomies.
• Experience analyzing healthcare provider behavior, claims, prescription, or commercial healthcare datasets is highly preferred.

Communication & Collaboration

• Excellent verbal and written communication skills.
• Ability to explain complex analytical findings to technical and non-technical stakeholders.
• For offshore candidates, strong communication skills are mandatory to ensure effective collaboration across teams.

Preferred Qualifications

• Experience working with pharmaceutical, healthcare analytics, payer, or provider datasets.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with healthcare data standards and regulatory considerations.

Engagement Details

• Engagement Type: Contract / Consulting
• Duration: Up to 6 months (initial experimental engagement)
• Location: Open to both onshore and offshore candidates
• Start Date: Immediate or as soon as available

What We're Looking For

We are seeking a highly analytical and proactive professional who can move beyond predefined requirements, identify hidden opportunities within healthcare data, and deliver measurable business impact through advanced machine learning and predictive analytics.

Application Process

Interested candidates can share their updated resume to:

hire@kasmoprav.com

Pay: ₹70,000.00 - ₹90,000.00 per month

Work Location: Remote