Data Scientist / Machine Learning Engineer (Senior) Opportunity

IT International Mobility company

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Data Scientist / Machine Learning Engineer (Senior) in PORTUGAL

Visa sponsorship & Relocation 3 hours ago

Founded in 2005, MoOngy is a leading group in Engineering and Information Technology across Europe and North Africa. With a presence in 14 countries, over 40 subsidiaries, and more than 9,500 talents, we are driven by a passion for innovation and excellence.

At MoOngy, we prioritize international mobility and provide opportunities to work on cutting-edge technologies, making a real impact in various industries.


Data Scientist / Machine Learning Engineer (Senior)

Seniority: Senior (5 years of experience)

Location: Lisbon, Portugal

Languages: English (B2 - C1) Mandatory. French knowledge is a plus!

We are only accepting candidates that are already in Lisbon, Portugal (or nearby) and that possess a valid work permit for Portugal


✅About the Role

In this role, you will design, build, and deploy advanced machine learning models and AI solutions that drive real business value. You will have the opportunity to work with cutting-edge technologies, including Generative AI and Large Language Models (LLMs), while collaborating closely with data engineers, product managers, and other key stakeholders.



✅ Required Skills

  • 7 Years experience as a Data Scientist or Machine Learning Engineer
  • Strong hands-on experience with Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Experience with Generative AI, LLMs, and RAG-based systems is highly valued.
  • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
  • Knowledge of MLOps, cloud platforms (Azure, AWS, or GCP), and version control (Git).
  • Strong analytical mindset with a passion for problem-solving and innovation.



✅ Key Responsibilities

  • Design & Deploy: Create and deploy machine learning models and tailored AI solutions.
  • Innovate: Fine-tune and extend Large Language Models (LLMs), leveraging both open-source and commercial tools.
  • Optimize: Implement Retrieval-Augmented Generation (RAG) techniques to improve model performance and efficiency.
  • Analyze: Conduct exploratory data analysis and perform feature engineering to enhance model accuracy.
  • Build Generative AI: Develop next-generation models for content creation, automation, and business innovation.
  • Apply Traditional ML: Utilize algorithms such as decision trees, SVMs, and neural networks to solve complex challenges.


Advantages of Joining MoOngy:

  • International Mobility: Access to personalized relocation programs for new opportunities across Europe.
  • Career Development: Opportunities to work on diverse projects with leading-edge technologies in various sectors.
  • Continuous Learning: Ongoing free training, certifications, and professional development.
  • Personal Growth: Collaborate with a global network of professionals to exchange ideas, foster creativity, and drive innovation in IT.
  • Diversity & Inclusion: We believe in equality and value diversity, creating a safe, inclusive environment for everyone.


@MoOngy Group we stand for equality and value diversity. We create a safe, diverse environment where opportunities are equal for everyone! We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit. All applications with skills needed for the position are welcome!


Apply now

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