MLOps Engineer

Intetics

MLOps Engineer at Intetics Inc. designing scalable MLOps solutions and automating deployment pipelines.

Posted 4/14/2026full-timeRemote • 🇺🇦 UkraineMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDockerGrafanaKubernetesPrometheusTerraformUnity

About the role

Key responsibilities & impact

Design and implement scalable, secure, and cost‑efficient MLOps solutions leveraging AWS and Databricks.
Automate ML deployment pipelines, reducing manual intervention and operational overhead.
Collaborate closely with data scientists to ensure solutions align with established MLOps architecture, best practices, and platform standards.
Integrate security controls and compliance requirements throughout the entire machine learning lifecycle.
Own and manage incidents end‑to‑end, from root cause analysis to prevention of future occurrences.
Contribute to software system architecture and the design of platform‑level components.
Build and optimize ML training, retraining, and inference pipelines, ensuring reliability and scalability.
Enhance observability with metrics, logging, tracing, and dashboards to ensure system visibility and performance.
Drive best practices in infrastructure automation, CI/CD, and cloud resource management across ML teams.

Requirements

What you’ll need

Strong hands‑on experience with AWS architecture, including security best practices, IAM, networking, and cost optimization.
Proficiency with Databricks (essential): MLflow, Workflows, Feature Store, cluster management, Unity Catalog.
Experience with cloud‑managed ML platforms such as AWS SageMaker or Google Vertex AI.
Expert knowledge of Terraform / Terragrunt for multi‑cloud infrastructure provisioning and automation.
Deep expertise in Kubernetes, including autoscaling, GPU workloads, networking policies, and cluster optimization.
Practical experience with observability stacks such as Prometheus, Grafana, Loki, ELK.
Strong understanding of GitOps workflows and CI/CD tools (e.g., ArgoCD, FluxCD).
Solid knowledge of Docker security, container hardening, and secure container orchestration.
Advanced experience in MLOps practices for continuous training (CT), CI/CD for ML models, and automated deployment.
Familiarity with ML pipeline orchestration tools such as Kubeflow or Argo Workflows.
Experience with LLMOps, including frameworks such as Langfuse, ollama, vLLM, and supporting large‑scale inference.
Ability to contribute to architecture design, set platform standards, and mentor MLOps or ML engineers.

Benefits

Comp & perks

🌐 Worldwide Post a Job Affiliates ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs Account Intetics Website LinkedIn All Job Openings 501 - 1000 employees Founded 1995 🤖 Artificial Intelligence 🏢 Enterprise Artificial Intelligence
Software Development
Enterprise Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more. MLOps Engineer Job not on LinkedIn 🔥 34 minutes ago 🇺🇦 Ukraine – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer AWS Cloud Docker Grafana Kubernetes Prometheus Terraform Unity Apply Now Find Hiring Managers Customize resume for this job ☆ Save ☑️ Mark as applied ❌ Hide Report problem 📋 Description
Design and implement scalable, secure, and cost‑efficient MLOps solutions leveraging AWS and Databricks.
Automate ML deployment pipelines, reducing manual intervention and operational overhead.
Collaborate closely with data scientists to ensure solutions align with established MLOps architecture, best practices, and platform standards.
Integrate security controls and compliance requirements throughout the entire machine learning lifecycle.
Own and manage incidents end‑to‑end, from root cause analysis to prevention of future occurrences.
Contribute to software system architecture and the design of platform‑level components.
Build and optimize ML training, retraining, and inference pipelines, ensuring reliability and scalability.
Enhance observability with metrics, logging, tracing, and dashboards to ensure system visibility and performance.
Drive best practices in infrastructure automation, CI/CD, and cloud resource management across ML teams. 🎯 Requirements
Strong hands‑on experience with AWS architecture, including security best practices, IAM, networking, and cost optimization.
Proficiency with Databricks (essential): MLflow, Workflows, Feature Store, cluster management, Unity Catalog.
Experience with cloud‑managed ML platforms such as AWS SageMaker or Google Vertex AI.
Expert knowledge of Terraform / Terragrunt for multi‑cloud infrastructure provisioning and automation.
Deep expertise in Kubernetes, including autoscaling, GPU workloads, networking policies, and cluster optimization.
Practical experience with observability stacks such as Prometheus, Grafana, Loki, ELK.
Strong understanding of GitOps workflows and CI/CD tools (e.g., ArgoCD, FluxCD).
Solid knowledge of Docker security, container hardening, and secure container orchestration.
Advanced experience in MLOps practices for continuous training (CT), CI/CD for ML models, and automated deployment.
Familiarity with ML pipeline orchestration tools such as Kubeflow or Argo Workflows.
Experience with LLMOps, including frameworks such as Langfuse, ollama, vLLM, and supporting large‑scale inference.
Ability to contribute to architecture design, set platform standards, and mentor MLOps or ML engineers. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior AI/ML Engineer 🕒 6 days ago SKELAR 1001 - 5000 📚 Education 🏪 Marketplace 👥 B2C Website LinkedIn All Job Openings Senior AI/ML Engineer at Dressly developing AI Stylist models for fashion tech. Collaborating on AI solutions and leading future tech developments. 🇺🇦 Ukraine – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer 🗣️🇺🇦 Ukrainian Required Machine Learning Team Lead 🕒 April 2 Innovecs 501 - 1000 🏢 Enterprise 🎮 Gaming ☁️ SaaS Website LinkedIn All Job Openings Lead AI/ML Engineer at Innovecs driving machine learning solutions with a focus on team leadership and technical expertise. Collaborating across functions to deliver business value through AI/ML initiatives. 🇺🇦 Ukraine – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer Airflow AWS Cassandra Cloud ElasticSearch MongoDB NoSQL Python Spark SQL Lead AI/ML Engineer 🕒 March 16 SKELAR 1001 - 5000 📚 Education 🏪 Marketplace 👥 B2C Website LinkedIn All Job Openings Lead AI/ML Engineer responsible for AI Stylist development in a fast-growing fashion tech startup. Collaborate with team to create innovative AI-driven fashion solutions. 🇺🇦 Ukraine – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer 🗣️🇺🇦 Ukrainian Required Senior Machine Learning Engineer 🕒 March 13 Globaldev Group 201 - 500 🤝 B2B ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings Senior Machine Learning Engineer taking end-to-end responsibility for ML initiatives in programmatic advertising. Shaping ML architecture and strategy with potential to lead a team. 🇺🇦 Ukraine – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer Pandas Python PyTorch Scikit-Learn Tensorflow Senior Machine Learning Engineer 🕒 March 3 Innovecs 501 - 1000 🏢 Enterprise 🎮 Gaming ☁️ SaaS Website LinkedIn All Job Openings Senior Machine Learning Engineer developing innovative ML solutions at Innovecs to enhance supply chain operations. Collaborating with cross-functional teams to implement impactful AI technologies. 🇺🇦 Ukraine – Remote ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer Airflow AWS Cassandra Cloud ElasticSearch MongoDB NoSQL Python Spark SQL View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

MLOpsAWSDatabricksTerraformKubernetesDockerCI/CDML pipeline orchestrationobservabilityLLMOps

Soft Skills

collaborationincident managementroot cause analysismentoringarchitecture design