Machine Learning Specialist

We are growing. And we are looking for talented people.

At Decskill, we believe that technological excellence is driven by human talent.

We are an IT consulting company with more than 10 years of consolidated experience in the market, focused on building long-term relationships with both our clients and our people. Today, we are a community of over 800 professionals, working from Lisbon, Porto, and Madrid, contributing to impactful technology initiatives.

As part of the Astek Group, we combine a strong local culture with a global presence, being active in around 23 countries across 4 continents. This allows us to offer an international context, diverse challenges, and long-term career opportunities, while staying close to our teams.

We would like to meet a Machine Learning Specialist for a project with a remote working model from Portugal. Candidates are only required to attend the Leiria office once a month.

About the role:

We are seeking a Machine Learning Engineer with 4–5 years of professional experience to design, build, and deploy ML systems in production. You will own forecasting models, anomaly detection systems, and LLM-powered workflows. Your role spans classical ML pipelines and generative AI applications, deployed at scale on Databricks and Azure.

Key Responsibilities:

Design and deploy time series forecasting and prediction models.

Build reproducible ML pipelines using Databricks Model Serving.

Manage model registration, versioning, and experiment tracking with MLflow.

Develop feature engineering pipelines.

Monitor model performance and drift, implementing automated retraining strategies.

Build LLM-powered applications using prompt engineering and function calling.

Develop multi-step agentic workflows using frameworks such as:

• OpenAI Agent SDK
• CrewAI
• LangGraph

Create evaluation frameworks for LLM outputs and agent performance.

Build datasets and pipelines for fine-tuning and model evaluation.

Deploy ML solutions using Azure Databricks and Azure Machine Learning.

Containerize applications with Docker and orchestrate using Kubernetes.

Implement observability and tracing for models and AI agents.

Collaborate with engineering teams to integrate ML services into microservice architectures.

Requirements:

4–5 years of experience in Machine Learning or AI Engineering.

Strong Python programming skills.

Experience with time series forecasting and predictive models.

Production ML experience using Databricks.

Experience with:

• LLMs
• Prompt Engineering
• Agentic AI Systems

Azure cloud experience.

Docker & Kubernetes.

Model evaluation, monitoring, and drift detection.

Workflow orchestration tools (e.g. Apache Airflow).

Ability to write clean, maintainable, and well-tested code.

Nice to Have

• Experience deploying LLM applications into production.
• Experience with LLM observability tools (e.g. Langfuse).
• Knowledge of LLM inference optimization and token caching.
• Multi-agent orchestration experience.
• DevOps and CI/CD experience.

Are you looking for an environment that values curiosity and commitment? Here, your contribution has real impact and individual growth is taken seriously.

Find with us the right opportunity to grow!

What you can expect from us

• Long-term projects with national and international context
• Opportunities to grow technically and professionally
• A people-first culture, focused on transparency and trust
• Teams that value ownership, collaboration and stability

Join us

Send us your CV in English to [email protected] with reference “MA/ ML”.

Your next challenge might start here.

At Decskill, we are committed to equal opportunities and non-discrimination. We promote a culture of diversity and inclusion, where recruitment and career progression are based solely on talent, regardless of age, gender, ethnicity, race, nationality, or any other form of discrimination incompatible with human dignity.