Ml Engineering Lead

3 meses atrás


Lisboa, Portugal Tekever Corporation Tempo inteiro

.TEKEVER spans several markets and covers a vast set of technological areas and, currently, the company focuses its research activities on the Air Ray class of autonomous systems. Our mission is to bring to our customers the actionable intelligence they need to make the best decisions faster. Job Overview: As the ML Engineering Lead, you will be responsible for leading a team of machine learning engineers in the design, development, deployment and maintenance of machine learning models and systems. You will work closely with data scientists, software engineers and other stakeholders to ensure the successful implementation and integration of ML solutions. The ideal candidate will have a strong background in machine learning, software engineering and team leadership. What will be your responsibilities: 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. Profile and requirements: Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Experience: 5+ years of experience in machine learning, software engineering, or a related field, with specific experience in leading teams and managing projects. Technical Skills: Strong programming skills in Python, as well as Go, Rust, R, Java or a similar language. Strong proficiency in machine learning and deep learning frameworks such as TensorFlow, TensorRT, PyTorch, or scikit-learn. Strong knowledge of ML model development, training and deployment processes. Knowledge of software development best practices and tooling, including DevOps, version control (e.G


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