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Jobs/Machine Learning Engineer Role/Judi Health - Machine Learning Engineer
Judi Health

Judi Health - Machine Learning Engineer

Remote - Denver, Colorado, United States; Remote$120k - $150k1mo ago
RemoteMidNAArtificial IntelligenceSoftwareMachine Learning EngineerPythonLearning & DevelopmentClaudeReportingQuality Assurance

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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. • $120,000 - $150,000 USD • All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

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.

Benefits

• $120,000 - $150,000 USD

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