Fractal Analytics is looking to hire an ML Engineer to build and deploy AI-driven solutions that address critical business challenges across industries, such as demand forecasting, asset reliability planning, and inventory optimization.
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.
- Engage with clients to translate business needs into technical requirements and Machine Learning solutions.
- 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.
Other
- Please note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability.
- If you are not local, we provide weekly travel or relocation.
- 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.
