Senior Manager - Machine Learning

February 27

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DataRobot

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DataRobot is an industry-leading provider of AI applications and platforms designed to integrate into core business processes. Their solutions enable teams to develop, deliver, and govern generative and predictive AI at scale. DataRobot’s AI applications are tailored to drive innovation and impact across various sectors, including energy, financial services, healthcare, manufacturing, and the public sector. The company focuses on maximizing business impact while minimizing risks with built-in governance features and collaborative tools for AI teams.

Data Science • Machine Learning • Artificial Intelligence • Automated Machine Learning • Augmented Analytics

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• DataRobot delivers AI that maximizes impact and minimizes business risk. • Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. • This role is responsible for shaping the strategic and technical direction of the machine learning engineering team. • You will be hands-on in building a robust infrastructure that supports model training, deployment, and monitoring at scale. • Collaborate with cross-functional teams to develop innovative, data-driven solutions. • Drive team performance, professional development, and skills advancement.

🎯 Requirements

• Hands-on experience in building ML pipelines, deploying models to production, and optimizing ML systems. • Proficiency in programming languages such as Python and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-Learn. • Strong understanding of data engineering, MLOps, API development, and cloud-based ML environments (AWS, Google Cloud, Azure). • Proven experience leading and mentoring a team of ML or software engineers. • Track record of delivering complex ML solutions on time with effective team management. • Excellent communication skills, with the ability to explain ML concepts to non-technical stakeholders. • Demonstrated experience building cross-functional relationships and fostering consensus. • Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related field. • 7+ years of experience in machine learning engineering, software engineering • 3+ years of experience in a technical leadership or management role. • Nice to Have: Experience with distributed computing and handling large-scale datasets. • Knowledge of modern ML engineering and data science tools, including MLflow, Kubeflow, Spark, and containerization tools like Docker and Kubernetes.

🏖️ Benefits

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) and more!