ML Engineer

About TEKEVER:

At TEKEVER, we are at the forefront of leveraging cutting-edge data and AI technologies to drive innovation and deliver exceptional value to our clients. Our team is passionate about creating intelligent solutions that transform countries, governments, businesses and improve lives.

TEKEVERs mission is to provide our customers with actionable intelligence to make the best decisions faster - both in real-time and non-real-time - in the most challenging environments across the globe. We design and build state-of-the-art autonomous Unmanned Aerial Systems (UAS), both in terms of hardware and software platforms and are growing fast in multiple areas, within both Defense and Civil domains. Typical Use Cases that our portfolio of drones and AI platforms focus on are, amongst others, military surveillance & intelligence gathering, oil pipeline inspections, maritime surveillance, wildfire monitoring, crowd control, change detection, automated area search, sense & avoid, precision landing, swarming - and many more.

As such, we are significantly expanding our Data & AI function and are seeking skilled and motivated Machine Learning Engineers to join our team and contribute to our mission of harnessing the power of machine learning.

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: Bachelors or Masters 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 create a real impact in the world;

• A truly high-tech, state-of-the-art engineering company with flat structure and no politics;

• Working with the very latest technologies in Data & AI, including Edge AI, Swarming - both within our software platforms and within our embedded on-board systems;

• Flexible work arrangements;

• Professional development opportunities;

• Collaborative and inclusive work environment;

• Salary compatible with the level of proven experience.

TEKEVER is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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