About the job:

About Us

Join a team that is redefining the accessibility of space. Azista space is a transformative force in the global aerospace sector, uniquely positioned at the intersection of indigenous innovation and industrial scalability. Operating Indias first private-sector satellite mass-production facility in Ahmedabad, we have bridged the gap between complex engineering and high-volume manufacturing.

As a vertically integrated leader, we provide end-to-end solutions from the precision design of satellite buses and advanced payloads to mission management and communication systems. We dont just build hardware, we are democratizing the final frontier by providing global clientele with the cost-effective, high-performance technology needed to power the next generation of orbital missions. At Azista, you won't just be starting a job, youll be fuelling the future of space exploration.

Role Overview:

We are seeking a highly skilled and innovative Machine Learning Engineer to join our R&D team. You will specialize in the development of AI models for advanced analytics on satellite imagery. In this role, you will apply state-of-the-art Computer Vision (CV) and Deep Learning techniques to massive satellite datasets, building the intelligence that powers next-generation orbital missions.

We are looking for a developer who understands the 'why' behind the architecture, not just the 'how.'

Primary Responsibilities

• Full-Cycle Development: Contribute across all stages of the Deep Learning lifecycle, including data collection, cleaning, model development, validation, and deployment.
• Model Innovation: Develop AI/ML models for diverse tasks including Object Detection, Segmentation, Tracking, and Image Enhancement.
• Optimization & Fine-tuning: Continuously monitor and fine-tune models to adapt to changing conditions, improving both accuracy and computational efficiency.
• Research Integration: Improve existing models by applying the latest global research in Deep Learning and Computer Vision.
• Future-Proofing: Stay at the forefront of advancements in Edge Computing and Space Technology to drive innovation in the field.
• Documentation: Create and maintain rigorous documentation for all developed processes, architectures, and applications.

Core Technical Requirements:

• Experience: 1+ years of professional experience in Machine Learning.
• Deep Learning Mastery: Strong grasp of network architectures (layer depth, convolution operations, connections) and fundamentals like training artifacts, overfitting/regularization, and batch normalization.
• Computer Vision Expertise: Hands-on knowledge of Image Classification, Object Detection, and Instance Segmentation.
• The AI Stack: * Expert proficiency in Python, NumPy, and OpenCV.
• Proficient in Deep Learning frameworks such as PyTorch or TensorFlow.
• Engineering Rigor: Familiarity with contributing to and maintaining code via GitHub; strong problem-solving and debugging skills.
• Education: Bachelors or Masters degree in Computer Science, ML, or a related field (must have completed a formal ML course or hold a certification from a reputed institute).

The 'Azista' (Preferred Skills)

• Deployment & Data: Basic understanding of SQL for data management and Docker for containerization/deployment.
• Domain Knowledge: A foundational understanding of Image Processing and Remote Sensing (satellite data formats and characteristics).
• Hardware Awareness: Understanding of optimization techniques and hardware considerations for model performance.

Who can apply:

Only those candidates can apply who:

• have minimum 1 years of experience
• are Computer Science Engineering students

Salary:

Competitive salary

Experience

1 year(s)

Deadline:

2035-01-01 00:00:00