Senior MLOps Engineer

Are you passionate about leveraging cutting-edge technologies to drive innovation? Do you thrive in dynamic environments where collaboration and continuous improvement are the norm? As a Senior DevOps Engineer with expertise in Machine Learning (ML), you’ll spearhead the development of robust pipelines for ML systems in production, while championing best practices in MLOps. If you think you’d be a great fit for this exciting opportunity, let’s connect! Apply now or email us at info@stellar-recruitment.com to get in touch with our team of recruitment specialists.

Responsibilities:

• Guide the development of pipelines for ML systems in production, ensuring reliability and scalability
• Lead the design and deployment of Cloud infrastructure on AWS
• Collaborate with cross-functional teams to prioritize features and determine optimal approaches for model training, deployment, and monitoring
• Drive continuous improvement and development of ML systems, overseeing data collection, training, and performance optimization
• Foster collaboration and knowledge sharing across teams, promoting a culture of innovation and excellence
• Actively engage in maintaining and enhancing team dynamics, contributing to a positive and inclusive work environment

Qualifications:

• Proficiency in DevOps technical leadership
• Experience in the design and deployment of cloud infrastructure in AWS
• Competency in establishing and overseeing CI/CD pipeline
• Familiarity with data workflow tools
• Experience in managing the development of pipelines for machine learning

Pay Rate: $130-$190k/year

Please note that the posted salary range for this role may vary based on seniority, qualifications, or prior experience. We are always looking for talented people to join our network, and if your desired compensation isn’t reflected in this posting, please send your application for review regarding related opportunities.