Senior ML Ops Engineer
Location
Poland
Posted
56 days ago
Salary
0
Seniority
Senior
Job Description
Senior ML Ops Engineer
Intuition Machines
• Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data. • Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand. • Influence data storage and processing strategies. • Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform. • Reduce time-to-deployment for dashboards and ML models. • Establish best practices and develop pipelines and software that enable ML engineers and researchers to efficiently build and use datasets. • Work with large datasets under performance constraints comparable to those at the largest companies. • Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users.
Job Requirements
- Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines that handle high loads.
- At least 2 years of professional software development experience in a role other than data engineering.
- Proficiency in Python and experience working with Kafka infrastructure and distributed data systems.
- Deep understanding of SQL and NoSQL databases (preferably Clickhouse).
- Familiarity with public cloud providers (AWS or Azure).
- Experience with CI/CD and orchestration platforms: Kubernetes, containerization, and microservice design.
- Proven ability to make independent decisions regarding data processing strategy and architecture.
- Thoughtful, self-directed individual who is able to operate effectively in a fast-paced environment.
- Nice to Have:
- Experience collaborating across ML, backend, and frontend teams.
- Understanding of machine learning fundamentals, including model training, inference, and frameworks such as PyTorch or TensorFlow.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Machine Learning Engineer
TwosenseContinuous Multi-Factor Authentication Powered by Passive Biometrics. Designed for Contact Center Identity.
• Build and maintain our production ML pipeline—including ETL processes, data cleaning, preprocessing, feature extraction, training, evaluation, deployment, and monitoring. • Develop streamlined ML workflows to effectively support our production systems. • Write clean, maintainable Python code using test-driven or test-first development practices. • Collaborate closely with founders and researchers to bring ML ideas to life—with opportunities to participate directly in research projects. • Optimize our infrastructure to handle growth and scale effectively.
DS/ML Engineer
VeevaHeadquartered in Pleasanton, California, Veeva is a leading provider of cloud-based software and services for the life sciences industry. As an employer, Veeva
• This role is critical in making ML and AI services to power engaging user experiences • Working from end-to-end on live production services. Not just modeling, not theoretical • The work you do will directly impact our customers' day-to-day experiences • Define the best approach to solve problems with ML. Build data and model pipelines • Test and Validate services. Deploy and monitor solutions for impact • Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products • Help develop and groom an experiment backlog • Build models that solve real-world problems • Optimize models for production throughput and uptime requirements • Automate deployments, testing, and monitoring (MLOps)
DS/ML Engineer
VeevaHeadquartered in Pleasanton, California, Veeva is a leading provider of cloud-based software and services for the life sciences industry. As an employer, Veeva
• At Veeva Link, we're building the intelligence layer for life sciences, creating connected data applications that accelerate drug development and significantly improve patient outcomes. • We develop sophisticated applications that map and understand global scientific and medical expertise, providing high-impact insights and AI-generated intelligence. • Engineers here tackle complex data modeling, entity resolution, and advanced machine learning. • We engineer workflow applications powered by our data, using AI to find patterns and route information precisely. • This involves designing scalable pipelines and intelligent automation.
DS/ML Engineer
VeevaHeadquartered in Pleasanton, California, Veeva is a leading provider of cloud-based software and services for the life sciences industry. As an employer, Veeva
• At Veeva Link, we're building the intelligence layer for life sciences, creating connected data applications that accelerate drug development and significantly improve patient outcomes. • Develop sophisticated applications that map and understand global scientific and medical expertise, providing high-impact insights and AI-generated intelligence. • Engineer workflow applications powered by data, using AI to find patterns and route information precisely. • Define the best approach to solve problems with ML. Build data and model pipelines. • Test and validate services. Deploy and monitor solutions for impact.
