Senior MLOps Engineer

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!

Project Overview:

• 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.

Requirements:

• 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.

Responsibilities:

• 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 we offer:

• 22 days of annual leave per year \+ 3 paid sick leaves;
• Flexible working hours \& hybrid work model;
• Permanent contract;
• Health Insurance (employee);
• Modern, well-equipped office in the centre of Porto;
• Intellias Communities (Tech, Language Clubs, Sports, Books, Parents);
• Coverflex benefits;
• Snacks and drinks at the office;
• Access to discount platform.

Why this position:

• At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.