Careers

Mid AI & ML Engineer

Location
Leiria (Hybrid)
Experience
Min. 4 years

Skills

Large Language Models (LLM) Machine Learning Python Docker Kubernetes Microsoft Azure Databricks
Description

About Us

BySix Engineers the future and drives innovation. We are more than just a standard software engineering company, we believe that true impact comes from combining technical expertise with human values. That's why we reflect that in our approach - technology is not the end goal, but the enabler.

Why Us?

🫸 Multidisciplinary team
📒 Training on demand
💴 Attractive salary and benefits package
📈 Career progression plans
👌 And amazing get together events

What are we looking for?

We are looking for a Mid AI & ML Engineer with:

  • 4 - 5 years of professional experience in machine learning or AI-focused roles (or equivalent demonstrated production ML work).
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent professional experience).
  • Strong Python proficiency and solid object-oriented programming fundamentals.
  • Experience building and deploying time series forecasting and prediction models.
  • Hands-on experience with production ML workflows and Databricks.
  • Solid understanding of LLMs, prompt engineering, and agentic system design.
  • Proficiency with cloud platforms (Azure) and containerization (Docker, Kubernetes).
  • Experience with model evaluation, monitoring, and drift detection.
  • Knowledge of workflow orchestration tools (e.g., Apache Airflow).
  • Ability to write high-quality, maintainable code with comprehensive testing.

We Value

  • Experience deploying LLM applications and agentic systems in production.
  • Familiarity with observability platforms for LLM tracing (e.g., Langfuse or similar).
  • Understanding of cost optimization for LLM inference and token caching.
  • Experience with multi-agent orchestration and tool-use patterns.

What do we expect from you?

  • Design and deploy forecasting and time series prediction models in production.
  • Build reproducible ML pipelines on Databricks Model Serving with model registration and versioning.
  • Develop feature engineering workflows and experiment tracking via MLflow.
  • Monitor model drift and implement automated retraining strategies.
  • Develop LLM-powered applications using prompt engineering and function calling.
  • Implement multi-step agentic workflows using orchestration frameworks (e.g., OpenAI Agent SDK, CrewAI, LangGraph).
  • Design evaluation frameworks to assess LLM outputs and agent behavior in production.
  • Build data pipelines for model fine-tuning and evaluation dataset preparation.
  • Deploy ML solutions on Azure Databricks and Azure Machine Learning.
  • Containerize and orchestrate workflows using Docker and Kubernetes.
  • Implement observability and tracing for model and agent performance.
  • Collaborate with teams to integrate ML components into microservices architectures.
  • Exposure to DevOps practices and CI/CD pipelines.

Are you ready?

If you're ready to make a real impact by leveraging cutting-edge technology and fostering human-centric solutions, BySix is the place for you. Together, we'll drive innovation and create lasting business value.

Note: BySix is an equal opportunity employer. All applicants will be considered and analyzed regardless of ethnicity, religion, gender identity, sexual orientation, national origin, age, or disability status.

Hey there, apply now
to join our team!
Upload your CV to automatically fill the form below.
Introduction
Professional skills

No skills available

Personal skills

No skill available

Beginner - Basic understanding. Limited ability to use the technology without guidance.
Basic - Able to perform simple tasks and apply foundational concepts with occasional support.
Intermediate - Competent in using the technology for regular tasks. Can troubleshoot common issues independently.
Advanced - Strong proficiency. Capable of handling complex tasks and optimizing workflows effectively.
Expert - Complete mastery. Able to teach, innovate, and implement advanced solutions with the technology.
Languages

No language available

Experience

No experiences available

New experience
Education

No education available

New course
Certifications
Other info