Senior Machine Learning Engineering Manager

Charlotte, NCfull timeOn Site

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senior

$190k–$237k

H1B: no

Judi Health Senior Machine Learning Engineering Manager at Judi Health leads AI/ML projects and manages a team to productionize machine learning solutions including NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The role involves overseeing design and implementation of AI systems and APIs, and ensuring quality and performance of ML models.

Responsibilities

Lead and oversee ML projects from planning to delivery, ensuring timely and budget-friendly completion. Conduct performance reviews, provide feedback, and support professional growth of your team members.
Manage a team and also contribute towards productionizing machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Oversee the design and implementation of APIs for seamless integration with AI models and services.
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.
Document and communicate development processes, system designs, and architectural decisions.
Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Qualification

Strong grasp of OOPPassion for customerStrong written and communication skillsNew York

Required

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
Minimum 8+ years (4 years with Masters degree) of experience in industry with a strong focus on ML solutions development and production deployment.
At least 3+ years of experience in Engineering Management with teams of 4 or more engineers
Experience working across the AI development lifecycle (AI DLC)
Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
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
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.
Strong written and communication skills
New York, NY Salary Range

Company

Judi Health

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Source: greenhouse

Active within the past hour

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Must-Have Skills for This Role

Machine LearningNLPNLGMultimodal data analysischatbotsRAG-based QnA

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