Software Engineer - Machine Learning Operations

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 Locus Robotics, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Software Engineer - Machine Learning Operations at Locus Robotics plays a crucial role in the development, deployment, and maintenance of machine learning models within the robotics platform. This position involves collaborating with cross-functional teams to ensure seamless integration of machine learning functionalities while optimizing algorithms and infrastructure. The ideal candidate will contribute to enhancing the efficiency and efficacy of robotic operations by leveraging cutting-edge technologies and methodologies in machine learning and software engineering.

Job Responsibilities

• Design, develop, and implement scalable machine learning models and algorithms to enhance robotic capabilities.
• Collaborate with data scientists, software engineers, and robotics engineers to integrate machine learning solutions into existing frameworks.
• Monitor, analyze, and troubleshoot production machine learning systems to ensure optimal performance and reliability.
• Document all processes, workflows, and code in accordance with best practices for future reference and team collaboration.
• Participate in code reviews and contribute to the continuous improvement of the software development lifecycle.
• Stay updated with the latest advancements in machine learning and robotics, applying relevant techniques to enhance system performance.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in software development with a strong foundation in programming languages such as Python, Java, or C++.
• Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud-based services (AWS, Azure, GCP) and deployment strategies for machine learning solutions.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Excellent problem-solving skills and the ability to work collaboratively in a team-oriented environment.

Technologies & Tools

The Software Engineer - Machine Learning Operations will utilize a variety of technologies and tools, including but not limited to Python for programming, TensorFlow and PyTorch for machine learning, Docker for containerization, as well as CI/CD tools for deployment processes. Familiarity with Git for version control and cloud technologies like AWS or Azure for application hosting will also be essential in this role.

Ideal Candidates

The ideal candidate for the Software Engineer - Machine Learning Operations position at Locus Robotics is someone with a strong analytical mindset, a passion for robotics and artificial intelligence, and a desire to innovate in the field of machine learning. They should possess excellent communication skills to work effectively with diverse teams and stakeholders, demonstrating adaptability in a fast-paced environment. A proactive approach to problem-solving and a commitment to quality and efficiency will set the successful candidate apart.