JOB SUMMARY
The ML Engineer II will design and develop ML models that deliver accurate results to solve identified business problems using state-of-the-art techniques, under the guidance of Senior ML Engineers. This role involves collaborating with cross-functional teams to build valuable ML solutions for products.

Key Responsibilities
• Work with cross-functional teams (business, technology, product) to understand product vision and build ML solutions that bring value to the product.
• Execute data wrangling activities to create viable datasets for ML problems.
• Conduct ML experiments to assess feasibility and build baseline models.
• Fine-tune baseline models for optimum performance.
• Test models internally against business acceptance criteria.
• Identify areas and techniques for model optimization based on test results.
• Document relevant artifacts for business communication.
• Collaborate with data scientists on model deployment.
• Work with product teams in planning and execution of new product releases.
• Set OKRs and success steps, and provide feedback on goals for team members.

Required Qualifications
• Ability to design and develop ML models to solve business problems using state-of-the-art techniques under guidance.
• Experience working with cross-functional teams including business, technology, and product.
• Proficiency in data wrangling activities to create viable datasets.
• Experience conducting ML experiments to understand feasibility and build baseline models.
• Experience fine-tuning models for optimum performance.
• Experience testing models internally per acceptance criteria.
• Ability to identify areas and techniques for model optimization.
• Experience documenting relevant artifacts for business communication.
• Experience collaborating with data scientists for model deployment.
• Experience working with product teams in planning and execution.
• Experience setting OKRs and success steps, and providing feedback on team goals.

Notes:

Mandatory areas – ML Engineer – Prompt engineer

Must Have skills:

• Prompt engineering

• Snowflake cortex

• Healthcare domain knowledge

• Llms

• Gpt

• Prompt design

• Chain-of-thought

Mandatory, if Applicable

Domain Experience (If any) – Healthcare good to have.

Must have Certifications – NA

If yes, provide dates, details of account/project

Location:

Onsite Requirement – Hybrid

Number of days onsite – NA

If onsite, provide Office Address – Connecticut-USA