Machine Learning Engineer
Skills
Apache SparkBusinessCode ReviewCustomer ValueData ScienceDatasetsEngineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Senior-level experience building and deploying machine learning models in production
- Experience designing scalable data pipelines and working with large datasets
- Strong Python skills with ML frameworks such as scikit-learn PyTorch or TensorFlow
- Experience with data tools such as Pandas or Spark
- Ability to own projects and deliver real measurable customer value
- Ability to provide thoughtful code reviews and architectural feedback
- Experience working independently in a fast-paced product-focused environment
- Previous experience in high-growth startups or small teams is a plus
- Familiarity with MLOps practices and tools is a plus
Nice to have
- Ownership
- Transparency
- Continuous improvement
- Mentoring mindset
- Fast-paced
- Product-focused
Day to day
- Design and maintain scalable machine learning models that automate logistics workflows for wholesale distributors
- Own ML projects end to end from problem definition and data exploration through deployment and production monitoring
- Partner closely with engineering teams to build product features that deliver measurable business value and improve customer operations
- Act as a technical leader by reviewing code mentoring teammates and improving reproducibility quality and performance across ML work