Remote Sensing Specialist (Sar)
Overview**:
Joining AIKO means becoming part of a young, talented team dedicated to delivering high-quality work while maintaining a healthy work-life balance.
We believe in trust, responsibility, and flexibility, offering a supportive environment where you can thrive.
Our team enjoys collaborating in our Torino office, working from home when desired, and taking time off when needed.
Don't miss the chance to revolutionize the future with us!
You will work closely with a dedicated team of ML and SAR experts, tackling challenging problems in data processing and information extraction.
By focusing on developing deep learning models and state-of-the-art MLOps approaches, you will help us push the boundaries of AI integration within SAR analysis.
Your role will be vital in refining our methodologies, op workflows, and ensuring our models are robust and production-ready.
We value smart, motivated, and collaborative engineers who love solving problems and making a difference.
Remote sensing experience is beneficial, but what matters most is your passion for technology, drive to innovate, and commitment to contributing to cutting-edge solutions in the future of space and earth observation systems.
**Tasks**:
- Utilize Python, C++, and relevant ML libraries (e. g. , PyTorch, TensorFlow) to develop, train, and deploy deep learning models, emphasizing high performance and reliability.
- Manage and handle large datasets, ensuring efficient data preprocessing and analysis, storage, and access for ML model training and evaluation.
- Process, analyze, and visualize SAR data, generating detailed reports, maps, and presentations for various stakeholders.
- Contribute to the development and deployment of machine learning models in production environments, leveraging MLOps approaches to ensure efficient integration and smooth operations.
- Work closely with cross-functional teams to deliver high-quality project outcomes, emphasizing accurate data handling, technical excellence, and adherence to deadlines.
- Stay updated on the latest advancements in SAR data processing, machine learning, and deep learning technologies, promoting continuous learning within the team.
**Requirements**:
- Master's degree in Computer Science, Engineering, Mathematics, or related fields.
- Proven experience in machine learning and deep learning, with a focus on SAR data processing and analysis.
- Solid understanding of Synthetic Aperture Radar (SAR) operations, including data collection, processing, and interpretation.
- Proficiency in Python and relevant ML libraries (e. g. , PyTorch, TensorFlow, Pandas, Scikit-learn) and familiarity with EO data analyses.
- Knowledge of GIS and EO concepts, including data management, projections, and visualization techniques.
- Experience with object-oriented programming and a commitment to quality and achieving project goals.
- Excellent communication skills with the ability to present complex data insights to both technical and non-technical audiences.
- A proactive approach to problem-solving, with a strong commitment to goals, quality, and a positive attitude toward growth and change.
**Preferred Experience**:
- Proven track record in key technical or lead roles in R&D projects, particularly in innovative or cutting-edge technology environments.
- Experience in remote sensing, earth observation, and satellite data analysis, including expertise in processing imagery payload data and on-board data processing from cameras and various sensors.
- Expertise in designing and implementing MLOps pipelines using tools like Git, MLFlow, Kubeflow, and Kubernetes, ensuring efficient deployment of ML models.
- Deep understanding of the operational aspects of satellite systems, including challenges related to integrating ML models with embedded hardware and sensor data.
- Extensive experience in data management practices and the ML software development lifecycle, emphasizing quality, scalability, and efficiency.
- Familiarity with Scrum working methodology and Agile principles, demonstrating an ability to work efficiently within iterative and collaborative development processes.
**Benefits**:
- Ticket Restaurants
- Health insurance, on a CCNL insurance plan
- Welfare plan, according to CCNL
- Flexible working hours
- Flexible smart working policy
- Access to courses for skills improvement
- Salary for the role: 40K-60K€
**Hiring Process**:
The interview process for this role will somewhat look like:
- 1st Stage: Interview with our People & Talent and the Hiring Manager
- 2nd Stage: Technical step (live) and further video call to discuss it
- We hopefully make you an offer!
**DEI in AIKO**:
backgrounds and experiences to apply.
**roles they**don't** feel match 100% of the requirements.
If this posting is
**looking for real people, not robots!
**About us**:
**AIKO is a cutting-edge deep-tech company founded in 2017**.
We specialize in **developing advanced automation software tailored for space missions**,
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