Highlights
Machine Learning, Satellite Imagery, Deep Learning, Computer Vision, Data Analytics
Description
Job Summary
pJoin Azista Space, a leading aerospace company at the forefront of satellite technology. As a Machine Learning Engineer, you will develop AI models to analyze massive satellite datasets, driving advancements in orbital missions and beyond.
Responsibilities
- Contribute across all stages of Deep Learning lifecycle including data collection, cleaning, model development, validation, and deployment.
- Develop AI/ML models for tasks such as Object Detection, Segmentation, Tracking, and Image Enhancement.
- Continuously monitor and fine-tune models to improve accuracy and computational efficiency.
- Stay updated with the latest research in Deep Learning and Computer Vision to integrate improvements into existing models.
- Create rigorous documentation for all developed processes, architectures, and applications.
Required Skills
- Python
- Deep Learning
- Data Cleaning
- Computer Vision
- Model Development
Required Skills Explained
- Full-Cycle Development: Knowledge of the entire process from data collection and cleaning to model validation and deployment.
- Model Innovation: Ability to develop AI/ML models for various tasks such as object detection, segmentation, tracking, and image enhancement.
- Optimization & Fine-tuning: Expertise in continuously monitoring and improving models for better accuracy and computational efficiency.
- Research Integration: Capability to apply the latest global research findings in Deep Learning and Computer Vision to enhance existing models.
- Futuristic Thinking: Understanding of Edge Computing and Space Technology advancements to drive innovation in the field.
- Documentation: Ability to create and maintain detailed documentation for all developed processes, architectures, and applications.
Who is this for
pThis role is ideal for a highly skilled Machine Learning Engineer with experience in developing AI models and a passion for satellite imagery analysis. You should be able to work independently while contributing to a dynamic team environment.
Why This Job is a Good Opportunity
ulliGrowth Potential: Be part of a rapidly growing company with a mission to democratize space exploration.liImpactful Work: Develop AI models that power the next generation of orbital missions, contributing to significant advancements in technology and science.
liCollaborative Environment: Join a team of innovators who are passionate about pushing boundaries and solving complex problems.liLocation Advantage: Located in Ahmedabad, offering a unique blend of urban amenities and cultural richness.
Interview Preparation Tips
- Review Core Technical Requirements: Ensure you have experience with Python, NumPy, OpenCV, PyTorch or TensorFlow, and familiarity with GitHub for code contribution.
- Past Projects: Highlight any relevant projects where you've applied Deep Learning techniques in Computer Vision tasks like object detection or image segmentation.
- Research Papers: Prepare to discuss the latest research papers in Deep Learning and Computer Vision that could be relevant to your role.
- Data Management Skills: Demonstrate your understanding of SQL for data management and Docker for deployment, if applicable.
- Cultural Fit: Show how you align with Azista's values and mission by discussing your passion for space exploration and innovation.
Career Growth in This Role
pThis role offers substantial career growth opportunities as a Machine Learning Engineer at the leading edge of satellite imagery analytics. You will have the chance to advance your technical skills, contribute to groundbreaking projects, and work with industry leaders. With a focus on future-proofing technologies like Edge Computing, there are endless possibilities for professional development. The ability to stay informed about emerging trends in space technology ensures continuous learning and innovation.pThe dynamic nature of the job provides ample opportunities for specialization within Computer Vision or Deep Learning, making this role highly rewarding for those seeking a challenging yet fulfilling career path in aerospace technology.
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Skills
Frequently Asked Questions
What is the expected experience level?We are looking for candidates with at least 1 year of professional experience in Machine Learning.
What kind of models will I be working on?You will work on a variety of models including Object Detection, Segmentation, Tracking, and Image Enhancement.
Is prior experience with satellite imagery necessary?Basic understanding of satellite data formats is preferred but not mandatory. Training will be provided as needed.
