Data Scientist – AI Engineer

Decskill; Lisboa; On-site; EUR 55,000 - 75,000; Full time

Job summary

Decskill, founded in 2014 as an IT Consulting Company, values its people and focuses on delivering value through knowledge and talent. With offices in Lisbon, Decskill operates across three core areas: Talent, Boost and Connect, driving digital transformation and innovation for clients.

We are seeking a Data Scientist - AI Engineer to design and deploy AI solutions, fine-tune LLMs, and enhance model efficiency.

Qualifications

• Bachelor's or master's degree in computer science, Data Science, Machine Learning, or a related field.
• 3+ years of hands-on experience in machine learning and AI development.
• Strong experience in developing and deploying agentic solutions.
• Experience with open-source and commercial LLMs.
• Proficiency in implementing Retrieval-Augmented Generation (RAG) techniques.
• Experience with vector databases.
• Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face.
• Deep understanding of NLP techniques and architectures.
• Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering and neural networks.
• Familiarity with cloud platforms (GCP, AWS, or Azure) for AI/ML deployments.
• Knowledge of MLOps practices and tools.
• Strong problem-solving and analytical skills.
• Effective communication in public and teamwork skills.
• Fluency in English (C1 level or higher) is mandatory.
• Willingness to learn French.

Responsibilities

• Design & Deploy: Create machine learning models and tailored AI solutions;
• Innovate: Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models;
• Optimize: Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency;
• Analyze: Perform exploratory data analysis and feature engineering to unlock better model performance;
• Build Agentic AI Solutions: Good knowledge in Agent Harness (Memory, storage, state, file system, ...), MCP servers (tools, servers, gateways, protocols, ...), and Agentic Communication Protocols (A2A, ACP, ...);
• Apply Traditional ML: Utilize decision trees, SVMs, neural networks, and more to solve diverse problems;
• Collaborate: Work alongside data engineers, product managers, and stakeholders;
• Quality Assurance: Ensure high-quality AI solutions through rigorous testing and validation;
• Document & Share: Maintain technical documentation for knowledge sharing and reproducibility.

Job description

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:

Decskill Talent: We believe that our people are key to our success.

Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth.

Decskill Boost: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.

Decskill Connect: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.

At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.

We are looking for a Data Scientist - AI Engineer

Responsibilities:

• Design & Deploy: Create machine learning models and tailored AI solutions;
• Innovate: Fine-tune and extend Large Language Models (LLMs) including open-source and commercial models;
• Optimize: Implement Retrieval-Augmented Generation (RAG) techniques for enhanced model efficiency;
• Analyze: Perform exploratory data analysis and feature engineering to unlock better model performance;
• Build Agentic AI Solutions: Good knowledge in Agent Harness (Memory, storage, state, file system, ...), MCP servers (tools, servers, gateways, protocols, ...), and Agentic Communication Protocols (A2A, ACP, ...);
• Apply Traditional ML: Utilize decision trees, SVMs, neural networks, and more to solve diverse problems;
• Collaborate: Work alongside data engineers, product managers, and stakeholders;
• Quality Assurance: Ensure high-quality AI solutions through rigorous testing and validation;
• Document & Share: Maintain technical documentation for knowledge sharing and reproducibility.

Requirements:

• Bachelor's or master's degree in computer science, Data Science, Machine Learning, or a related field;
• 3+ years of hands‑on experience in machine learning and AI development;
• Strong experience in developing and deploying agentic solutions;
• Experience with open‑source and commercial LLMs;
• Proficiency in implementing RAG techniques;
• Experience with vector databases;
• Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face;
• Deep understanding of NLP techniques and architectures;
• Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering and neural networks;
• Familiarity with cloud platforms (GCP, AWS, or Azure) for AI/ML deployments;
• Knowledge of MLOps practices and tools;
• Strong problem‑solving and analytical skills;
• Effective communication in public and teamwork skills;
• Fluency in English (C1 level or higher) is mandatory.
• Willingness to learn French.

Nice-to-Have Skills:

• Knowledge of reinforcement learning from human feedback (RLHF);
• Strong expertise in Generative AI (model training, fine‑tuning, and deployment);
• Understanding of ethical AI principles and model interpretability;
• Fluency in French.

Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.