Software Engineer - Machine Learning Operations

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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

At Locus Robotics, the Software Engineer - Machine Learning Operations will play a pivotal role in the development and deployment of machine learning models within our robotics systems. This position involves optimizing machine learning workflows, monitoring the performance of deployed models, and ensuring the integration of advanced algorithms into our existing operational framework. The chosen candidate will collaborate closely with cross-functional teams to enhance the capabilities of our robotic systems and ensure their efficiency and reliability in real-world environments.

Job Responsibilities

• Develop and maintain robust machine learning algorithms tailored to enhance robotic functionalities.
• Monitor and evaluate the performance of deployed models, ensuring optimal functionality.
• Collaborate with data scientists and engineers to streamline data preparation and processing pipelines.
• Implement automation processes to deploy and update machine learning models in production.
• Participate in the end-to-end lifecycle of machine learning projects, from conception to deployment.
• Assess and troubleshoot issues related to production model performance and data integrity.
• Document processes, models, and systems to enhance team knowledge sharing and compliance.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software engineering with a focus on machine learning operations.
• Proficiency in programming languages such as Python, Java, or C++.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of machine learning algorithms and their implementation.
• Experience with cloud platforms (AWS, Google Cloud, or Azure) for deploying ML models.
• Knowledge of containerization technologies such as Docker and Kubernetes.

Technologies & Tools

The Software Engineer - Machine Learning Operations at Locus Robotics will utilize a variety of technologies and tools including but not limited to Python for programming, TensorFlow and PyTorch for machine learning model development, and cloud platforms such as AWS for deployment. Furthermore, tools like Docker and Kubernetes will be essential for containerization and orchestration in our operational frameworks, facilitating efficient model deployment and management.

Ideal Candidates

The ideal candidates for this position will possess a blend of technical expertise and soft skills that foster collaboration and innovation. They will be detail-oriented problem-solvers with a penchant for continuous learning in the rapidly evolving field of machine learning. Strong communication skills are essential, as the role requires interaction with diverse teams and stakeholders. Passion for robotics and a proactive approach to improving systems will set candidates apart, making them well-equipped to thrive in the dynamic environment at Locus Robotics.