Senior / Lead ML Tooling Software Engineer

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Overview

As a Senior / Lead ML Tooling Software Engineer at Atlas AI, you will play a pivotal role in developing and optimizing machine learning tools that enhance our ability to derive insights from data. You will lead the design, implementation, and deployment of ML infrastructure, ensuring that it meets the needs of both data scientists and engineers. This position requires a combination of technical proficiency, leadership skills, and an understanding of machine learning processes, positioning you to make significant contributions to our data-driven initiatives.

Job Responsibilities

• Design and develop scalable machine learning tooling and frameworks to facilitate model training, evaluation, and deployment.
• Lead a team of engineers in implementing best practices for ML operations and workflows.
• Collaborate with data scientists to understand their tooling needs and translate requirements into technical solutions.
• Optimize existing ML pipelines and frameworks for performance and usability.
• Integrate various data sources and tools to create a cohesive environment for ML development.
• Conduct code reviews, mentor junior engineers, and provide technical guidance to ensure high-quality software delivery.
• Stay current with industry trends and emerging technologies to continuously improve our ML capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• 5+ years of professional experience in software development, with a focus on machine learning or data engineering.
• Proven experience in designing and implementing ML tooling and infrastructure.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
• Solid understanding of cloud-based ML services (AWS, GCP, Azure) and DevOps practices.
• Excellent problem-solving skills and the ability to thrive in a dynamic environment.

Technologies & Tools

The Senior / Lead ML Tooling Software Engineer will work with various technologies and tools that include but are not limited to Python, TensorFlow, PyTorch, Docker, Kubernetes, Apache Spark, and cloud platforms such as AWS, Google Cloud Platform, or Azure. Familiarity with source control systems like Git and CI/CD pipelines will also be essential in this role.

Ideal Candidates

Ideal candidates for this position are innovative thinkers who excel in both technical and leadership capacities. They possess a passion for machine learning and are eager to tackle complex challenges. Strong communication skills and the ability to collaborate effectively with cross-functional teams are vital. Additionally, adaptability to a fast-paced environment and a commitment to staying abreast of industry advancements will set them apart in our dynamic setting at Atlas AI.