MLOps Engineer
Company shown to members 🔒 · Remote · Israel, Europe only
Apply free: 3 jobs are on us✨ Tailor my resume for this job🎤 Practise the interview question, free
✓ Straight from the company's own careers page. No middlemen, no “we'll send you a check for equipment”. How we check jobs
✓ Sent 100 applications and heard nothing? Make this one count: tailor your resume to this ad in one tap, free.
✨ Not sure this is the one? Get your remote job matches in 30 seconds →
First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
Practise the first interview question for this job
If the company replies, the first call usually starts with a question like this. Vague answers are the easiest to reject. Write yours and get an AI score in under a minute.
The 20-second read
- Experience
- 5+ years required
- Where you can live
- Israel, Europe only
- Skills and tools
- python, a/b testing, aws, gcp, azure, kubernetes
- Degree or licence
- Mentioned (bachelor)
- Job type
- Full-time
Read from the ad by Psst's rules. Check the full ad below before applying.
Job details
- Where you can work
- United Kingdom, Ireland, Germany, Netherlands, France, Spain, Portugal, Italy, Poland, Romania, Belgium, Czech Republic, Greece, Austria, Sweden, Denmark, Norway, Finland, Switzerland, Hungary, Bulgaria, Croatia, Serbia, Ukraine, Lithuania, Latvia, Estonia, Slovakia, Slovenia, Luxembourg, Cyprus, Malta, Turkey, Israel
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- 5+ years required
- Employer publication date
- 20 July 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
ABOUT the company
The company is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, the company is giving businesses the Power to Predict.
At the company, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.
KEY RESPONSIBILITIES
- Develop and manage scalable, automated machine learning pipelines, CI/CD workflows, and orchestration frameworks
- Design and implement robust model serving infrastructure using platforms like TorchServe, TensorFlow, Triton etc.
- Develop scalable inference architectures optimized, with ultra-low latency and high throughput
- Ensure seamless model deployment by implementing A/B testing, canary releases, and rollback capabilities
- Develop logging, alerting, and monitoring solutions to track model development, and reliability
- Improve GPU usage, enable autoscaling, and streamline resource allocation to boost efficiency
- Design, implement, and maintain feature stores, robust data pipelines, and scalable storage solutions to efficiently handle large volumes of data
MUST HAVE
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 5+ years of experience as MLOps engineer or DevOps roles, working with MLOps platforms (MLflow, WandB etc..) and frameworks (PyTorch, TensorFlow etc..)
- Experience building and designing MLOps infrastructure from the ground up
- Experience with model serving frameworks (TorchServe, TensorFlow Serving, Triton, KServe etc..) for high scalability and low latency inference
- Experience in building and managing data pipelines to support both model training and inference
- Experience with Kubernetes on a major cloud provider (AWS, GCP, or Azure) and with infrastructure as code (e.g. Terraform, Helm, GitOps)
- Strong software engineering skills in Python, Bash, and Go, with a focus on writing clean, maintainable, and scalable code
- Experience in AI/ML systems security, compliance, and model governance
- Proficient with observability and monitoring tools, such as Prometheus, Grafana, Datadog, and OpenTelemetry
NICE TO HAVE
- Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
- Experience with FastAPI and Backend applications
- Familiarity with data platforms like Databricks or Snowflake
- Exposure to SRE practices or cloud security certifications
- Hands-on experience with Prometheus, Grafana, or Datadog
BENEFITS
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
- Relocation support for employees moving to join the team in one of our office locations
- A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Apply free: 3 jobs are on us✨ Tailor my resume for this jobPrepare with the Apply kit
- Open 4 months
- No pay listed
A resume that gets past the first 6 seconds
Recruiters skim. The Psst resume coach fixes what makes them skip you, line by line, and one tap tailors it to the exact job you're applying to.
- 1Every line checkedWeak starts, clichés and AI-sounding phrases flagged, with a 3-question fix.
- 2Tailored to the jobSee which skills and tools from the ad your resume is missing. Try it free on one of your matches.
- 3Ready for remoteTime zone, tools and proof you work on your own, the things remote teams look for.
- 4Looks the partOne page, 6 designs, 8 colours and a matching cover letter, free to build. Premium downloads the PDF and Word files.
Example with made-up details. The score is the builder's own check, not an ATS rating or a promise of an interview.