Senior Platform Engineer, Machine Learning

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Fieldguide, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior Platform Engineer, Machine Learning at Fieldguide plays a critical role in designing and developing robust machine learning infrastructure and platforms. This position involves collaborating with cross-functional teams to build scalable systems that support the deployment and management of machine learning models. The candidate will be responsible for optimizing platform performance, ensuring data quality, and implementing best practices in machine learning operations while contributing to strategic technology initiatives.

Job Responsibilities

• Design and implement scalable machine learning platforms and services.
• Collaborate with data scientists and software engineers to integrate machine learning models into production.
• Build tools and frameworks for model training, validation, and deployment.
• Monitor and improve platform performance, including uptime, latency, and computational efficiency.
• Develop and maintain documentation related to platform architecture and processes.
• Ensure compliance with best practices in data security, privacy, and ethics in machine learning.
• Conduct technical assessments and provide insights on new technologies and methodologies.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of relevant experience in platform engineering or cloud computing.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with cloud service providers (AWS, GCP, Azure) and their machine learning tools.
• Excellent problem-solving skills and ability to work in a collaborative team environment.

Technologies & Tools

The Senior Platform Engineer will work with a variety of technologies and tools including machine learning frameworks such as TensorFlow and PyTorch, cloud platforms like AWS, Google Cloud, or Azure, and container orchestration tools such as Kubernetes and Docker. Additionally, proficiency in CI/CD tools, data processing frameworks like Apache Spark, and monitoring solutions will be essential for effectively managing and enhancing the machine learning platform.

Ideal Candidates

Ideal candidates for this position possess a strong technical background combined with excellent interpersonal skills. They should demonstrate an innate ability to work under pressure and adapt to changing circumstances while maintaining high-quality standards. A proactive approach to problem-solving, a passion for continuous improvement, and a willingness to mentor junior engineers will further distinguish candidates in this role. Candidates who are committed to fostering a culture of collaboration and innovation will thrive at Fieldguide.