Descrição da Função

The Company Will Work For

This company, based in Lisbon, Portugal, is a leader in the fields of information technology, aerospace, defense, and security. Operates in several countries, including the United Kingdom, the United States, and France. In addition to their technological innovations, they provide real-time intelligence services, leveraging AI and machine learning to deliver actionable insights for defense and security operations.

Your New Mission 

• Team Leadership: Lead, mentor and develop a team of machine learning engineers, fostering a collaborative and innovative work environment.
• Project Management: Oversee the end-to-end lifecycle of machine learning projects, from concept to deployment, ensuring timely delivery and high-quality outcomes.
• Model Development: Collaborate with data scientists to design and implement robust and scalable machine learning models and algorithms.
• System Architecture: Define and implement the architecture for ML systems, ensuring they are scalable, reliable and efficient.
• Deployment: Oversee the deployment of machine learning models into production environments, ensuring seamless integration and performance.
• MLOps: Develop and maintain ML operations processes, including CI/CD pipelines, monitoring and automated retraining systems.
• Performance Optimization: Optimize ML models and systems for performance, efficiency and scalability.
• Collaboration: Work closely with cross-functional teams, including data science, software development, product management and IT, to define requirements and deliver solutions that meet business and technical needs.
• Innovation: Stay current with the latest advancements in machine learning and AI technologies and drive the adoption of best practices and new techniques within the team.
• Documentation: Ensure comprehensive documentation of models, algorithms, processes and systems for future reference and reproducibility.

What You Need To Succeed 

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Over 5 years of experience in machine learning, software engineering, or a related field, with specific experience in leading teams and managing projects.
• Strong programming skills in Python, as well as proficiency in Go, Rust, R, Java, or similar languages.
• Expertise in machine learning and deep learning frameworks such as TensorFlow, TensorRT, PyTorch, or scikit-learn.
• In-depth knowledge of ML model development, training, and deployment processes.
• Familiarity with software development best practices and tools, including DevOps, version control (e.g., Git), continuous integration/continuous deployment (CI/CD), telemetry and monitoring, containerization (Docker, Kubernetes), and infrastructure as code (IaC).
• Experience with relevant tools such as ClearML for ML lifecycle management.
• Proficiency with experimentation platforms like Jupyter Notebooks.
• Understanding of data engineering concepts and tools for data preprocessing and ETL.
• Proven experience in deploying machine learning products to production.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud), with a focus on Google Cloud.
• Excellent analytical and problem-solving skills, with the ability to design innovative solutions to complex problems.
• Strong verbal and written communication skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
• Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages.
• High attention to detail and a commitment to ensuring the accuracy and quality of work.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.

What The Company Can Offer You

• Attractive Salary Package
• Meal Allowance
• Health Insurance
• Annual Bonus 
• Flexible Work Model 

Next Steps
If you are interested in this opportunity, please send us your updated CV. If you are looking for a different type of professional challenge, contact us to discuss other career opportunities, always in complete confidentiality. 

Contacto

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