Data Scientist/Computer Vision Engineer

Data Scientist/Computer Vision Engineer – TEKEVER

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, data and AI technologies.

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.

Job Overview

As a Computer Vision Engineer, you will develop, implement and optimise computer vision algorithms and models for image and video analysis, extracting meaningful insights and creating innovative solutions. The ideal candidate has a strong background in computer vision, machine learning and data science, with a proven track record of successful projects.

Responsibilities

• Model & Algorithm Development: Design, develop and implement computer vision models & algorithms for object, event, change detection, recognition, segmentation and tracking.
• Model Training and Optimization: Train and optimise machine learning models using large datasets, ensuring high accuracy and performance.
• Data Preprocessing: Perform image augmentation and normalisation to prepare datasets for training and evaluation.
• Research and Innovation: Stay current with the latest advancements in computer vision and machine learning and apply new techniques to improve existing models and develop new solutions.
• Collaboration: Work closely with data engineers, software developers, product managers and other stakeholders to understand project requirements and deliver effective solutions.
• Performance Evaluation: Evaluate the performance of computer vision models using appropriate metrics and techniques and iteratively improve accuracy and efficiency.
• Deployment: Collaborate with engineering teams to deploy computer vision models into production environments and ensure robustness and scalability.
• Documentation: Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility.

Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. Ph. D. is a plus.
• Experience: 3+ years in Computer Vision Engineering.
• Language Proficiency: Advanced proficiency in Portuguese and English (C2 level).
• Technical Skills:
• Strong programming in Python and C++.
• Experience with Open
  CV, Tensor
  Flow, Tensor
  RT, Py
  Torch, Keras.
• Experience with ML tools such as Fifty
  One and Clear
  ML.
• Experience with deep learning models such as YOLO.
• Proficiency in machine learning and deep learning frameworks.
• Experience with image and video processing techniques.
• Experience with experimentation platforms (e. g. , Jupyter Notebook).
• Knowledge of imaging sensors, optics, interfaces, data formats and video codecs.
• Knowledge of data preprocessing and augmentation techniques.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud). Focus on Google Cloud.
• Experience in getting ML products to production.
• Basic knowledge of Dev
  Ops (Git, CI/CD, telemetry, monitoring).
• Analytical Skills: Excellent problem‑solving and innovative design.
• Communication: Strong verbal and written skills, able to explain complex concepts to non‑technical stakeholders.
• Collaboration: Effective cross‑functional teamwork.
• Attention to Detail: High accuracy and quality commitment.
• Adaptability: Thrive in fast‑paced, dynamic environments managing multiple projects.

Benefits

• An excellent work environment and real impact.
• A high‑tech, state‑of‑the‑art engineering company with a flat structure.
• Working with the latest technologies in Data & AI, including Edge AI, Swarming, and embedded systems.
• Flexible work arrangements.
• Professional development opportunities.
• Collaborative and inclusive environment.
• Competitive salary based on proven experience.

Want to learn more? Visit our Linked
In page.

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Engineering and Information Technology

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