Senior MLOps Engineer

Important note: we are looking for a person that can join the project in the end of August❗

Holisticon Insight is a division of http://nexergroup.com focused on IoT, AI, and advanced analytics. We assist our customers in developing IoT services, portals, and mobile apps and, above all, analyze data using AI and advanced analytics to reduce costs, streamline, and find new opportunities for the business. Our goal is to grow strong but rather in competencies than in numbers. We get things done and, on the way, we build a dynamic company culture to create the best place for our development. We love the atmosphere of a family business with its flat structure and self-organized teams where every opinion matters and influences our way of working

Check us out!

👇https://holisticon.pl/holisticon-insight/

We offer a B2B Contract:

• 140 – 160 PLN net/hour + VAT

🚀 We are looking for a Mid/Senior MLOps Engineer to join a team of our client a Swedish company that manufactures outdoor power products, such as robotic lawn mowers, chainsaws, trimmers, and others.

You will join our client's DevOps/MLOps team to operationalize and scale growing suite of their internal AI and LLM-based tools. This role is critical in enabling the seamless transition of models and AI features from development into secure, production-ready, cloud-native systems across Azure and AWS.

In this role you will:

• Build and maintain ML/LLM deployment pipelines that automate model integration, testing, versioning, and rollout using cloud-native services.

• Develop and manage containerized ML applications using Docker, Kubernetes (EKS/AKS), ECS, or Azure Container Instances.

• Collaborate with AI and software teams to productionize models, handling API integration, authentication (OAuth2), and scaling strategies.

• Implement infrastructure as code (Terraform) and enable continuous delivery via GitHub Actions or similar CI/CD tools.

• Design and operate data pipelines (structured & unstructured) using Databricks, PySpark, and cloud-native data services.

• Ensure secure handling of credentials, secrets, and tokens using AWS Secrets Manager, Azure Key Vault, and RBAC.

• Monitor ML systems using Prometheus, Grafana, OpenTelemetry, CloudWatch, and Azure Monitor with a focus on performance and cost efficiency.

• Optimize deployments with load balancing, API gateways, and autoscaling configurations.

• Contribute to model evaluation strategies, automated testing, and A/B rollout plans for LLM or AI tool behavior.

You might be the perfect match if you possess the following competencies:

• 4+ years of experience in previous experience as MLOps Engineer

• Deep experience with Azure (and prefferably AWS) services, including:

  • API Gateway, Application Gateway, Load Balancers

  • Blob Storage / S3

  • Key Vault / Secrets Manager

  • Managed Databases

• Knowledge of OAuth2, RBAC, WAFs, and cloud security best practices.

• Proficiency in Terraform, Docker, and Kubernetes.

• Familiarity with Python

• Experience with CI/CD tools (GitHub Actions or similar).

• Exposure to LLM/AI product deployment, including model inference, prompt templating, or API chaining logic.

Nice to Have

• Experience with document processing workflows (PDF, Office formats).

• Familiarity with NLP tools and Azure AI services.

• Background in LLM monitoring and evaluation strategies.

• Experience with enterprise system integrations (e.g., CMS, CRM).

• Awareness of model retraining pipelines, data drift detection, or ML metadata tracking (e.g., MLflow, SageMaker, or similar).

By joining Holisticon Insight you will get:

• Life insurance

• Multisport card

• Fully remote job

• Private medical care

• Flexible working hours

• B2B or contract of employment

• Amazing integration events on a regular basis

• Training budget (e.g. Microsoft Azure Certifications)

• Opportunity to impact our company culture build-up

• Work equipment (laptop, 2 monitors, and accessories)