ML Engineer

Are you ready to revolutionise the world with TEKEVER? 🚀

Join us, the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation. We offer a unique surveillance-as-a-service solution that provides real-time intelligence, enhancing maritime safety and saving lives. TEKEVER is setting new standards in intelligence services.

Become part of a dynamic team transforming maritime surveillance and making a significant impact on global safety. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to facilitate critical decisions.

If you’re passionate about technology and eager to shape the future, TEKEVER is the place for you! 👇🏻

 

Job Overview:

As a Machine Learning Engineer, you will be responsible for designing, developing and deploying machine learning models and systems. You will work on a variety of projects that involve data preprocessing, model training, optimization and deployment. The ideal candidate will have a strong background in machine learning, software engineering and data science, with a proven track record of implementing and scaling ML solutions.

 

What will be your responsibilities:

• Model Development: Design, develop and implement machine learning models and algorithms to solve complex business problems.
• Data Preprocessing: Perform data preprocessing tasks such as cleaning, normalization and feature engineering to prepare datasets for training and evaluation.
• Training and Optimization: Train and optimize machine learning models using large datasets, ensuring high performance and accuracy.
• Deployment: Collaborate with engineering teams to deploy machine learning models into production environments, ensuring scalability and robustness.
• Performance Monitoring: Monitor the performance of deployed models and develop strategies for continuous improvement and retraining.
• Collaboration: Work closely with data scientists, software developers, product managers and other stakeholders to understand project requirements and deliver effective solutions.
• Research and Innovation: Stay current with the latest advancements in machine learning and AI and apply new techniques to improve existing models and develop new solutions.
• Documentation: Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility.

 

Profile and requirements:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• Experience: 3+ years of experience in machine learning, data science, or a related field.
• Technical Skills:
  • Strong programming skills in Python, as well as Go, Rust, R or a similar language.
  • Strong proficiency in machine learning and deep learning frameworks such as TensorFlow, TensorRT, PyTorch, or scikit-learn.
  • Experience with data preprocessing and feature engineering.
  • Knowledge of software development best practices and tooling, including DevOps, version control (e.g., Git), continuous integration/continuous deployment (CI/CD), telemetry and monitoring.
  • Experience with relevant tooling such as ClearML for ML lifecycle management, FiftyOne and CVAT.
  • Experience with experimentation platforms such as Jupyter Notebooks.
  • Experience in getting 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.
• Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems.
• Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Attention to Detail: High attention to detail and a commitment to ensuring the accuracy and quality of work.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.

 

What we have to offer you:

• An excellent work environment and an opportunity to make a difference;
• Salary Compatible with the level of proven experience.

 

Do you want to know more about us ?

Visit our LinkedIn page at https://www.linkedin.com/company/tekever/

If the above excites you, apply now! Send your CV tojobs@tekever.com.