Production ML Engineer: Build, Deploy & Optimize Models

ExaCare AI; New York (NY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

ExaCare AI is seeking a Machine Learning Engineer in New York, NY, to own the end-to-end ML lifecycle. This role involves developing innovative machine learning solutions, managing efficient experimentation pipelines, and deploying production-grade models. Candidates should have over 3 years of experience, expert proficiency in Python, and familiarity with deep learning frameworks like PyTorch. Preferred qualifications include knowledge of LLMs and MLOps tools. The position supports hybrid work arrangements.

Qualifications

• Proven experience (3+ years) in building, training, and deploying machine learning models.
• Demonstrable experience with systematic hyperparameter searching and optimization frameworks.
• Exceptional organizational skills with a strong emphasis on reproducible research.

Responsibilities

• Research, design, and implement novel machine learning solutions.
• Build and manage efficient pipelines for rapid experimentation.
• Deploy models into production environments using CI/CD practices.

Skills

Building, training, and deploying machine learning models

Expert-level proficiency in Python

Experience with modern deep learning frameworks

Hyperparameter optimization

Experience with LLMs

Model optimization techniques

Designing and curating datasets

Education

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field

Tools

PyTorch

MLflow

Kubernetes

Docker

Job description

ExaCare AI is seeking a Machine Learning Engineer in New York, NY, to own the end-to-end ML lifecycle. This role involves developing innovative machine learning solutions, managing efficient experimentation pipelines, and deploying production-grade models. Candidates should have over 3 years of experience, expert proficiency in Python, and familiarity with deep learning frameworks like PyTorch. Preferred qualifications include knowledge of LLMs and MLOps tools. The position supports hybrid work arrangements.