Senior Machine Learning Engineer (Healthcare)

Innovatix Technology Partners is seeking a Senior Machine Learning Engineer specializing in healthcare. In this role, you will design and implement machine learning systems and collaborate with various teams to develop AI solutions for complex business challenges.

Responsibilities:

• Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization
• Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs
• Collaborate with product stakeholders, data scientists and engineering teams to design and implement AI / ML solutions for complex business problems and use cases
• Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models
• Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments

Requirements:

• Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience
• 5+ years of experience designing large scale, complex, data intensive, AI / ML applications in an industrial setting
• Substantial depth and breadth in system design, latency optimization, cloud infrastructure optimization, knowledge graphs, and MLOps
• Deep understanding of CS fundamentals, computational complexity and algorithm design
• Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
• Excellent knowledge of Python and core data science libraries including Pandas, NumPy and other similar libraries
• Experience mentoring junior team members
• Excellent problem solving and communication skills
• Knowledge of the healthcare domain and experience with applying AI to healthcare data
• Experience with AWS especially in relation to ML workflows with SageMaker, ECS, serverless compute and storage such as S3 and Snowflake