Senior Machine Learning Engineer (Databricks)

Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. They have delivered over 150 Databricks projects for Fortune 500 leaders, focusing on clean architecture and solving complex architectural challenges. The company is recognized as the Genie Partner of the Year (2026) for deploying Databricks Genie at enterprise scale.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field; PhD is a plus.
• 5+ years of experience in machine learning engineering or related fields.
• 3+ years of experience with Databricks.
• Proficiency in programming languages such as Python, R, or Java with strong knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms and MLOps tools like MLflow for model deployment and monitoring.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and leadership skills to work effectively across teams and influence stakeholders.

• Design and implement machine learning models and algorithms with Databricks, including predictive analytics, natural language processing, and computer vision.
• Lead the end-to-end development process from data collection and preprocessing to model deployment and monitoring.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Optimize and fine-tune models for performance, accuracy, and scalability in production.
• Stay current with advancements in machine learning and AI, applying improvements to existing systems.
• Mentor and guide junior engineers and data scientists on ML and data engineering best practices.
• Contribute to machine learning infrastructure development including data pipelines, model serving frameworks, and monitoring tools.
• Collaborate with client stakeholders to drive solutions addressing business problems.

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