Senior Machine Learning Engineer II
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Requirements
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. • Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. • Strong proficiency in Python and familiarity with ML libraries such as PyTorch. • Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies • Familiarity with cloud platforms such as AWS or Azure. • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. • Passion for customer, innovation, product quality, service excellence, and test engineering • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. • Experience working with microservices/an API-based application paradigm. • Good written communication skills that enable collaboration in a remote environment. • 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. • $180,000 - $220,000 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
• Design, 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. • Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. • Participate in code reviews, testing, and quality assurance processes. • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. • Document and communicate development processes, system designs, and architectural decisions. • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. • Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.
Benefits
• $180,000 - $220,000 USD
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