We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space.

We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace.

🌐 Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards.

At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making.

If you're passionate about technology and eager to shape the future — TEKEVER is the place for you. 👇🏻🎯

Job Overview

We are seeking a skilled and motivated Data Scientist to join our team and contribute to the development, implementation, and optimization of advanced algorithms and models. Your work will support key teams such as Field Operations, R&D, Flights, Simulation, Autopilot by automating workflows and enhancing decision support, mission planning, and situational awareness capabilities.

What Will Be Your Responsibilities

Design, build, and refine machine learning models to solve real-world operational challenges.
Work across the full data science lifecycle: from data collection and problem scoping to prototyping, model training, evaluation, and deployment.
Analyze and process complex datasets including drone sensor data, GIS data, unstructured text, and time series.
Drive experimentation and innovation to improve model performance and system capabilities.
Develop advanced algorithms, including deep learning and traditional ML models, to support decision support, mission planning, and predictive analytics.
Implement and optimize models using cutting-edge frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
Conduct robust data preprocessing, including cleaning, outlier detection, scaling, and encoding.
Evaluate models using appropriate metrics, iterate on their performance, and ensure production readiness.
Deploy models into production systems with a focus on scalability, robustness, and monitoring.
Maintain clear documentation of algorithms, workflows, and results for reproducibility.
Collaborate closely with software engineers, data engineers, and domain experts to ensure smooth integration of ML solutions into products.
Stay current with the latest advances in ML and AI and apply them to continuously improve existing pipelines and solutions.

Profile And Requirements

Education
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
A Ph.D. is a plus.
Experience
3+ years of experience in data science and machine learning modeling.
Deep experience in mission-critical environments (e.g., field operations, real-time systems, situational awareness).
Proven track record in predictive modeling, especially for time series data.
Strong background in machine learning, data science, and analytics, including building and deploying models.
Familiarity with geospatial analytics and drone data processing frameworks.
Demonstrated ability to work with multi-modal datasets (sensor data, GIS, text, etc.).
Experience deploying models in production, including using APIs, containers, and monitoring tools.
Technical Skills
Programming & Data Manipulation
Proficient in Python, with experience using NumPy, Pandas, SciPy, and scikit-learn.
Skilled in handling time series, unstructured, and geospatial data.
Machine Learning & Modeling
Expertise in classical ML methods: regression, classification, clustering, XGBoost, and ensemble techniques.
Solid understanding of deep learning for time series, including RNNs, LSTMs, CNNs, and Transformers.
Familiarity with Hugging Face Transformers for sequence modeling and transfer learning.
Deep Learning Frameworks
Proficient with PyTorch, TensorFlow, Keras, and TensorRT.
Capable of building, training, and fine-tuning models for various applications.
Experimentation & Tools
Experienced in Jupyter Notebooks and interactive dev environments.
Bonus: Familiarity with ML experiment tracking/versioning tools like MLflow or Weights & Biases.
Geospatial & Sensor Data
Hands-on experience with GIS systems and drone sensor data.
Proficient in geospatial tools/libraries: GeoPandas, Rasterio, QGIS, or similar.
Cloud & Deployment
Experience deploying models in cloud environments, particularly Google Cloud Platform (GCP).
Familiar with containerization (e.g., Docker), REST API deployment, and serverless architectures.
Understanding of DevOps practices: Git, CI/CD, telemetry, and model lifecycle management.
Other Skills & Attributes
Analytical Thinking: Ability to design creative and efficient solutions to complex problems.
AI Ethics: Understanding of fairness, bias mitigation, and responsible AI.
Communication: Strong verbal and written communication skills for technical and non-technical audiences.
Teamwork: Collaborative mindset; able to work well in cross-functional teams.
Attention to Detail: Commitment to accuracy and quality.
Adaptability: Comfortable in a fast-paced, evolving environment with multiple ongoing projects.

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.

Do you want to know more about us ?

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