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Machine Learning Engineer

Fractal Analytics

$115,000 - $185,000
Oct 17, 2025
Remote, US
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Fractal Analytics is looking for an ML Engineer to build and deploy AI-driven solutions that address critical business challenges such as demand forecasting, asset reliability planning, and inventory optimization for Fortune 500 companies.

Requirements

  • Excellent programming skills in Python
  • Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Applied Machine Learning and AI experience in a professional setting.
  • Broad knowledge on ecosystem of machine learning and AI algorithms, including tradeoffs to consider and when most appropriate to use.
  • Demonstrated project expertise in supervised/unsupervised learning techniques, deep learning, time series, operations research, or Generative AI.
  • Familiarity with ML model lifecycle including key considerations and relevant tools (MLFlow, AirFlow, Kubeflow, etc.) for supporting and governing models at scale.
  • Familiarity with scalable AI technologies such as (MapReduce, Spark, streaming).

Responsibilities

  • Research, design, implement, and deploy Machine Learning algorithms for enterprise scale applications.
  • Contribute to the design and implementation of features for new and existing enterprise AI solution offerings.
  • Provide ongoing support and monitoring for solutions running in production.
  • Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.
  • Engage with clients to translate business needs into technical requirements and Machine Learning solutions.
  • Optimize model performance, and ensure the reliability and efficiency of AI applications in real-world business environments.
  • Implement scalable, production-ready machine learning solutions that seamlessly integrate into our clients' operations.

Other

  • This role is specifically located in the San Francisco Bay Area and requires 100% onsite availability.
  • Ability to drive a project and work both independently and in a team.
  • Smart, motivated, can-do attitude, and seeks to make a difference.
  • Excellent verbal and written communication.
  • MS in Computer Science, Electrical Engineering, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.