Machine Learning Engineer
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Job Description
Machine Learning Engineer at Judi Health developing AI and ML solutions for enhancing pharmacy benefits. Focusing on ML model implementation and backend service development to improve healthcare services.
Responsibilities:
- Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
- Develop and maintain backend services using Python, focusing on AI-driven applications.
- Design and implement APIs for seamless integration with AI models and services.
- Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development
- Participate in code reviews, testing, and quality assurance processes.
- Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
- Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
- Document and communicate development processes and implementation details with peers and supervisors
- Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus.
- Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.
- Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
- Proficiency in Python and familiarity with ML libraries such as PyTorch.
- Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus.
- Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
- The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
- Good written communication skills that enable collaboration in a remote environment.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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