Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer (ML Engineer) at Ensono, you’ll be the builder who takes models from notebooks to production systems. You’ll work side-by-side with Data Scientists to translate their predictive insights into scalable, high-performance solutions that can run reliably at enterprise scale.

In Short

• Productionize machine learning models built by Data Scientists.
• Design APIs and services that expose model predictions.
• Tune models for latency, throughput, and cost efficiency.
• Collaborate with Data Engineers to ensure robust feature pipelines.
• Automate deployment and monitoring of models.
• Work with Ops, Data Science, and MLOps teams.
• Integrate AI capabilities with systems like ServiceNow and Snowflake.
• Ensure models deliver actionable, explainable outcomes.
• Participate in continuous improvement of model performance.
• Contribute to a culture of collaboration and innovation.

Requirements

• Strong programming skills in Python (must-have) plus C, C++, Java, Javascript.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with Docker, Kubernetes, or other container orchestration tools.
• Familiarity with Snowflake and data engineering workflows.
• Experience deploying models in production and exposing them through REST APIs.
• Strong understanding of model optimization and hyperparameter tuning.
• Experience with ServiceNow or IT operations datasets is desirable.

Benefits

• Unlimited Paid Day Off (PDO) Plan.
• Two robust health plan options through Blue Cross Blue Shield.
• 401(k) with a generous company match.
• Eligibility for dental, vision, and disability coverage.
• Flexible work schedule.
• Wellness program and fitness center access.
• Opportunity for professional development and community engagement.