IMAGE PROCESSING ENGINEER

Azista Space; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Azista space in Hyderabad, India, is seeking an Image Processing Engineer to design and deploy core spatial algorithms for satellite data preprocessing and analysis. You will work on raw telemetry and Earth observation data, applying advanced computer vision and feature extraction to power high-performance payload capabilities.

Responsibilities include building end-to-end algorithm pipelines, optimizing performance, and translating research into production-ready software, with documentation and

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field (formal academic coursework in Image Processing required).
• 2+ years of hands-on professional experience developing computer vision/image processing software from scratch.
• Proven background executing at least one full-lifecycle project covering core operations like Image Restoration, Matching, Enhancement, or Feature Extraction.
• Advanced proficiency in Python, NumPy, and OpenCV.

Responsibilities

• End-to-End Algorithm Pipeline: Design, build, test, and deploy modular image processing algorithms and software tools for raw satellite data preprocessing and spatial correction.
• Feature Extraction & Analysis: Implement algorithms for image enhancement, restoration, feature matching, edge detection, morphological operations, change detection, segmentation, and classification.
• Performance Optimization: Continuously benchmark and refine existing image processing codebases using modern OpenCV and NumPy methodologies to improve execution speed and memory efficiency.
• Applied R&D Integration: Translate academic research papers and state-of-the-art remote sensing literature into production-ready software solutions.
• Documentation & Standards: Maintain clean code practices, clear architecture documentation, and technical guidelines for deployed application workflows.

Skills

Python

NumPy

OpenCV

Computer Vision

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or related field

Tools

PyTorch

TensorFlow

Job description

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 India's 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 don’t 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, you'll be fuelling the future of space exploration.

JOB SUMMARY

As an Image Processing Engineer, you will be responsible for the end-to-end design, development, optimization, and deployment of core spatial algorithms. You will work directly on raw satellite telemetry and Earth observation data, applying advanced computer vision, restoration, and feature extraction techniques to power high-performance payload capabilities.

In this role, you will own the pipeline efficiency, algorithm accuracy, and real-time operational performance of satellite image preprocessing software. By bridging cutting-edge computer vision research with robust deployment practices, you will directly influence how global clientele process, visualize, and analyze space-borne data.

KEY RESPONSIBILITIES

• End-to-End Algorithm Pipeline: Design, build, test, and deploy modular image processing algorithms and software tools for raw satellite data preprocessing and spatial correction.
• Feature Extraction & Analysis: Implement algorithms for image enhancement, restoration, feature matching, edge detection, morphological operations, change detection, segmentation, and classification.
• Performance Optimization: Continuously benchmark and refine existing image processing codebases using modern OpenCV and NumPy methodologies to improve execution speed and memory efficiency.
• Applied R&D Integration: Translate academic research papers and state‑of‑the‑art remote sensing literature into production‑ready software solutions.
• Documentation & Standards: Maintain clean code practices, clear architecture documentation, and technical guidelines for deployed application workflows.

WHAT WE'RE LOOKING FOR?

• Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field (formal academic coursework in Image Processing required).
• Experience: 2+ years of hands‑on professional experience developing computer vision/image processing software from scratch.
• Project Track Record: Proven background executing at least one full‑lifecycle project covering core operations like Image Restoration, Matching, Enhancement, or Feature Extraction.
• Technical Stack: Advanced proficiency in Python, NumPy, and OpenCV.
• Core Competencies: Solid understanding of digital signal processing fundamentals, debugging complex spatial matrices, and algorithm complexity optimization.

NICE-TO-HAVE (BONUS POINTS):

• Direct domain exposure to Remote Sensing, Geographic Information Systems (GIS), or satellite data formats.
• Experience integrating AI/ML/Deep Learning frameworks (PyTorch, TensorFlow) with traditional computer vision algorithms.

WHY JOIN US?

• Mission-Critical Impact: Work directly on real‑world space missions and satellite data pipelines that serve global commercial and observational markets.
• Pioneering Ecosystem: Be part of an agile R&D unit backed by India's first private‑sector satellite mass‑production ecosystem.
• Career Growth: Fast‑track your professional development in a high‑growth aerospace engineering environment at the intersection of SpaceTech and AI/ML.
• Collaborative Culture: Join a multidisciplinary team of space hardware experts, software architects, and research engineers driving new frontiers in space accessibility.