🛠 Tech Stack

💼 About This Role

You'll design and deploy machine learning solutions to power digital engagement strategies, improving personalization and decision-making in healthcare. You'll transform complex data into scalable AI products, working with cross-functional teams. This role combines hands-on model development with strategic input on responsible AI adoption.

🎯 What You'll Do

• Develop and deploy ML, deep learning, and generative AI models for customer engagement.
• Build and maintain end-to-end data science pipelines from ingestion to deployment.
• Implement MLOps practices including model monitoring, versioning, and retraining.
• Translate business needs into data science problems with measurable success criteria.

📋 Requirements

• Advanced degree (Master’s or PhD) in Data Science, Computer Science, or related field.
• Strong hands-on experience with Python and libraries like TensorFlow or PyTorch.
• Proven ability to deploy and operationalize AI/ML models in production.
• Experience with SQL and large-scale datasets in complex data environments.

✨ Nice to Have

• Experience in regulated environments (e.g., healthcare).
• Exposure to GenAI/LLM applications.

🎁 Benefits & Perks

• 💰 Competitive base salary with variable compensation.
• 🏥 Comprehensive medical, dental, vision insurance.
• 📈 401(k) retirement savings plan with employer support.
• 🏖️ Paid time off, sick leave, flexible work.
• 📚 Professional development and career progression.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min