Senior Machine Learning Engineer

Location: Poland (remote)

Work Schedule: Full-time

Contract Type: pure B2B (JDG)

We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together!

What project we have for you

We are looking for a skilled and experienced MLOps Engineer with business orientation to join our dynamic and innovative team at Intellias. As an MLOps Engineer, you will play a crucial role in developing and maintaining the infrastructure and processes required for deploying and managing machine learning models in production.

What you will do

• Execution and guidance of technical POCs and projects
• Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the field
• Cooperating on presales and upsales with rest of the team
• Participating in public speaking events

What you need for this

• Master or higher degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in MLOps, machine learning engineering, or a similar role.
• Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Strong programming skills in languages such as Python or Rust.
• Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
• Experience with cloud AI services (AWS / Azure / GCP)
• Experience managing and deploying model registry and feature store technologies.
• Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
• Experience working with containerization technologies such as Docker and Kubernetes.
• Experience putting Deep Learning models into production with frameworks such as Pytorch or Tensorflow.
• Experience developing REST APIs using frameworks such as FastAPI or similar.
• Experience developing GenAI agents using libraries such as LangChain or similar.
• Experience in evaluating LLM agents, LLM observability, and agent memory management.
• Experience with infrastructure-as-code (IaC) tools such as Terraform.

Nice to have:

• Experience of deploying LLM models on premise
• GCP Professional Machine Learning Engineer certification (not older than a year)
• Experience with data science projects
• Industry knowledge in retail, manufacturing, healthcare, energy, finance or telecom

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.