Senior Platform Machine Learning Engineer

• Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
• Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
• Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
• Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
• Set examples of outstanding operational excellence. Be the catalyst for step-jump changes

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
• 4+ years of industry machine learning experience and excellent software engineering skills
• Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
• Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
• Experience with LLM Ops, foundation model APIs, and AI engineering
• Familiarity with data pipeline and workflow management tools
• Strong communication and collaboration skills
• Passion for learning and staying updated with the latest machine learning and platform engineering industry trends

equity and benefits