Machine Learning Engineer

What You'll Do
Implementation, productionization, deployment, integration, and monitoring of ML models and automated pipelines

Partner with data scientists to review and co-optimize technical designs and solutions

Design and review machine learning and data processing code for scale and robustness

Collaborate with product, engineering, and devops teams to deliver ML and LLM solutions end-to-end

Design and implement infrastructure, tools, utilities, and automated workflows

Implement ML platform capabilities to streamline all phases of data-centric innovation, including data access and exploration, model development, productionisation, testing, and monitoring of machine learning pipelines

Evangelize and drive adoption of the ML platform, and strive for operational excellence

What You'll Bring

Degree in Computer Science, Electrical Engineering, or other related computational fields and 5+ years of experience working with ML models and deploying them into production

Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, or other big data systems

Hands-on experience scaling and taking data science solutions to production

Experience with deep learning frameworks such as PyTorch, Tensorflow, HuggingFace

Experience with LLMs, Scala, Ray, Kubernetes, or Airflow a plus

Have a data-centric mindset and willingness to validate results

Strong communication skills, both oral and written, and ability to coordinate complex project execution with cross-functional teams

Our Team Values

Take pride in our contributions

Support one another

Optimize what matters

Principled execution