• Capability Development: Realize new AI-based capabilities in areas such as decision support, mission planning, workflow automation, production data support and predictive modeling and maintenance.

• Model Training and Optimization: Train and optimize models using vast amounts of textual data, ensuring high performance and accuracy.

• Data Preprocessing: Perform data preprocessing tasks such as data cleaning, outlier detection, feature scaling, and feature encoding to prepare datasets for training and evaluation.

• Research & Innovation: Stay up to date with the latest advancements in machine learning both classical techniques and deep learning and proactively apply cutting-edge methods to enhance existing models and develop innovative 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 models using appropriate metrics and techniques and iteratively improve their accuracy and efficiency.

• Deployment: Collaborate with engineering teams to deploy models into production environments and ensure their robustness and scalability.

• Documentation: Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility.

Technical Skills:

Programming & Data Manipulation:

• Proficient in Python, with hands-on experience using libraries such as NumPy, Pandas, SciPy, and scikit-learn for data analysis and modeling.

• Strong experience with data preprocessing, including handling of time series, unstructured, and geospatial data.
  

Machine Learning & Modeling:

• Expertise in classical ML techniques (e.g., regression, classification, clustering) using scikit-learn, XGBoost, and other ensemble methods.

• Solid understanding of deep learning architectures for time series analysis, including Transformers, RNNs/LSTMs, and CNNs.

• Experience with model training, evaluation, and fine-tuning in varied computing environments.
  

Deep Learning Frameworks:

• Proficient with frameworks such as PyTorch, TensorFlow, Keras, and TensorRT for building and optimizing deep learning models.

• Experience working with Hugging Face Transformers for sequence modeling and transfer learning tasks.
  

Experimentation & Development Tools:

• Skilled in interactive experimentation environments such as Jupyter Notebooks.

• Familiarity with ML experiment tracking and versioning tools is a plus (e.g., MLflow, Weights & Biases).
  

Geospatial & Sensor Data:

• Experience working with GIS systems, drone sensor data, and multi-modal datasets.

• Familiarity with geospatial libraries and tools such as GeoPandas, Rasterio, QGIS, or similar is a strong advantage.
  

Cloud & Deployment:

• Experience deploying production-grade models, including containerization and REST API integration.

• Familiar with cloud platforms (especially Google Cloud Platform), including ML services, storage, and serverless deployment.

• Basic understanding of DevOps practices: version control (Git), CI/CD pipelines, telemetry, monitoring, and model lifecycle management.

• Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems.

• AI Ethics and Bias Mitigation: Experience or awareness of AI ethics, fairness and bias mitigation strategies

• Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Collaboration: Ability to work effectively in a collaborative, cross-functional team environment.

• 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.