Company Overview
Sesterce is shaping the future of AI with high-performance GPU clusters, ranging from 100 to 15,000 GPUs, offering unparalleled scalability and efficiency. Our flexible cloud and cluster solutions deliver an optimal experience for AI developers.
Position Overview
Sesterce is seeking a talented and experienced MLops Engineer to join our team. As an MLops Engineer, you will be responsible for designing, implementing, and managing machine learning pipelines and infrastructure to support our data-driven projects. The ideal candidate is a proactive problem-solver with strong technical skills and a passion for innovation.
Job Responsibilities
- Design, implement, and manage end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.
- Collaborate with data scientists and software engineers to operationalize machine learning models and algorithms.
- Develop and maintain scalable and efficient data processing and model training systems.
- Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
- Monitor model performance and data quality, and implement automated alerting and reporting systems.
- Manage infrastructure and cloud resources for machine learning workloads.
- Ensure compliance with data privacy and security regulations.
- Stay up-to-date with emerging technologies and best practices in machine learning and MLOps.
- Provide technical support and guidance to other team members.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience in machine learning engineering or MLOps roles.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
- Knowledge of DevOps practices and tools.
- Strong understanding of software development lifecycle and agile methodologies.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
- Commitment to excellence and continuous learning.
How to Apply?
If you are a talented MLops Engineer with a passion for technology and innovation, we invite you to apply for the MLops Engineer position at Sesterce. Please submit your resume and a cover letter explaining your relevant experience and why you are an ideal fit for this role to hiring@sesterce.com. Include "MLops Engineer Application - [Your Name]" in the subject line.
Let's meet, apply now!
Let's meet, apply now!
What Companies
Build with Sesterce.
Leading AI companies rely on Sesterce's infrastructure to power their most demanding workloads. Our high-performance platform enables organizations to deploy AI at scale, from breakthrough drug discovery to real-time fraud detection.
Health
Accelerate drugs recovery
Finance
Improve risk analysis and fraud detection
Consulting
Analyze market trends and provide strategic insights.
Logistic & Transports
Predict freight flow analysis, route optimization and fleet maintenance
Energy and Telecoms
Optimize performance, improve coverage and reduce downtime
Media & Entertainment
Personalize your content by analyzing consumer preferences.
Supercharge your ML workflow now.
Sesterce powers the world's best AI companies, from bare metal infrastructures to lightning fast inference.