Senior Machine Learning Engineer

Innovatix Technology Partners is seeking a Senior Machine Learning Engineer to support its artificial intelligence and machine learning initiatives. The role designs and optimizes end-to-end ML pipelines and infrastructure, collaborates across product and engineering teams on complex AI/ML solutions, and develops reference architectures while sharing advances with internal teams.

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