Lead AI/ML Engineer

Primary Responsibilities:

• Develop novel AI approaches for healthcare using both structured and unstructured data
• Build and test deep learning and traditional ML models in distributed computing environments
• Design and plan experiments, conduct statistical analysis and create data visualizations
• Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs
• Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards
• Develop code and model documentation, patents and publications in scientific conferences and journals
• Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions
• Stay up to date with latest technologies and literature
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• MS in computer science or related quantitative field and 5+ years of industry/academic experience in AI/ML or a related field OR a PhD and 2+ years of experience
• 5+ years of AI/ML experience
• 5+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow

Preferred Qualifications:

• Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification
• Experience with distributed computing approaches such as Spark
• Experience with Snowflake and other relational databases
• Experience working on collaborative software projects using GitHub
  • Proven solid technical communication skills