Conflicts Management • Time Management • Workflow • Experience Management • Terms Management
1001 - 5000
💰 Private Equity Round on 2017-04
November 3
Conflicts Management • Time Management • Workflow • Experience Management • Terms Management
1001 - 5000
💰 Private Equity Round on 2017-04
• As a Senior MLOps Engineer, you will play a crucial role in enabling applied AI • Your main focus will be on the design, build, and maintenance of secure, scalable and efficient ML Platform • Design and implement robust MLOps and LLMOps pipelines to automate and optimize machine learning model training, testing, deployment, and scaling • Collaborate with data scientists and software engineers to ensure operational criteria are met before deployment • Maintain and enhance continuous integration (CI) and continuous deployment (CD) environments for machine learning systems • Develop tools to improve visibility into the system's operation and to facilitate rapid troubleshooting and debugging • Foster a culture of continuous improvement by incorporating feedback and lessons learned into future ML deployments • Lead initiatives to increase the resilience and scalability of ML systems
• Bachelor’s degree in computer science, Engineering, Statistics, or a related field • Experience in software development or data engineering, with at least 3 years focused on MLOps or similar roles • Proven track record in designing and deploying scalable machine learning systems in production • Strong programming skills in Python and experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLFlow, MetaFlow, vLLM, Kubeflow, Jupyter notebook, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink) • Expertise in containerization technologies (e.g., Docker, Kubernetes) and automation tools (e.g., Jenkins, GitLab CI) • Excellent problem-solving skills and the ability to work independently or as part of a team
• Competitive base salary plus variable compensation and equity • Traditional comprehensive benefits, plus: Paid parental leave, including adoptive leave • Paid Time Off • Pension Contribution • Family Formation benefit offered by Carrot • Wellness programs and benefits provided by Calm and Modern Health • Paid volunteer time off and donation matching for the causes you care about • Meal Allowance • Home office stipend • Opportunities for personal growth and professional development supported by a community of talented professionals • An open, collaborative environment where your background and contributions are valued • Experience at a growing public company where you can make an impact and achieve your goals • Open offices and kitchens stocked with beverages and snacks
Apply NowSeptember 26
201 - 500
Lead Machine Learning team to enhance AI/NLP products at LanguageWire.
June 6
51 - 200
🇵🇹 Portugal – Remote
💵 $90k - $110k / year
💰 $55M Series A on 2021-09
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
May 31, 2023
201 - 500