Snapshot
Role: Senior Machine Learning Engineer
Employee type: Full-time
Location: Remote
Start date: ASAP
Compensation: Base salary range INR 2,00,000 - 4,00,000 per month + Equity based on experience, location, and interview performance
Who is Crescer AI?
Crescer AI is a cutting-edge AI technology startup dedicated to helping enterprises tackle complex problems through artificial intelligence. Our team brings a wealth of experience from high-impact organizations such as Google, NASA, Amazon, and Microsoft, where we honed our skills in applied AI, deep learning, and product development. We are passionate about leveraging our expertise to create state-of-the-art AI products that drive innovation and efficiency.
One of the products we are developing is Bhumi, a groundbreaking product in the Geographic Information System (GIS) market, tailored for the defense sector, government agencies, and private industries such as mining and construction. We are seeking a creative and driven senior machine learning engineer to help us create the world's best geospatial AI system. Our vision for Bhumi is to leverage satellite imagery to enable our customers to uncover meaningful insights about our world.
Description
The Impact You Will Make
- Solve a variety of machine learning challenges with practical applications in the GIS space
- Perform experiments and develop state-of-the-art automated feature extraction models for our proprietary data collected from satellites and drones
- Develop pipelines for fine tuning models with new data using semi-supervised and active learning techniques
- Perform EDA, and delve deep into data sourced directly from clients and become one with the data
- Develop models that work with multispectral and pan-sharpened images
- Scale model training and inference pipeline to work on large scale datasets
- Improve runtime efficiency of models for deployment
- Develop visualizations to analyze and communicate results
- Drive R&D machine learning initiatives to improve product performance and user experience
- Robustify and deploy your work into production environments
- Maintain readable and unit testable code with documentation
What You'll Bring to the Table
- 3 years experience as a data scientist, machine learning engineer, or a strong mathematical background
- Strong expertise in deep learning frameworks and architectures for computer vision, including experience with CNNs, RNNs, and Vision Transformers
- Understanding of classical computer vision techniques and data engineering principles
- Strong data visualization and communication skills
- Comfortable collaborating with international teams (USA, Europe)
- Comfortable developing in Linux
- Comfortable with good software–engineering practices and an ability to write production ready, maintainable code in Python
- The ability and the desire to work in the exciting environment of an early-stage company
Bonus Points for
- Familiarity with scrum, kanban, agile practices
- Familiarity with MLOps
- Experience with point clouds
We want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.
We Offer
- Base salary range INR 2,00,000 - 4,00,000 per month based on experience, location, and interview performance
- Possibility to receive stock options for the opportunity to share ownership in the success of our company
- Fully remote role
- Be at the heart of Hyderabad’s startup ecosystem. We are part of Thub incubator with access to India's leading startups, business and tech advisors. We have seats available that our engineers can use
- Flexible working hours
- We operate with a flat hierarchy, offering you the freedom to take initiative and adopt an independent work style
- A diverse team from various backgrounds. We have team members spread across five cities and three countries
Job Type: Full-time
Pay: ₹200,000.00 - ₹400,000.00 per month
Application Question(s):
- How many projects have you led for at least 6 months?
- What is the largest team you have led?
- Please share a link to an implementation of an end-to-end machine learning model. Either link to a running app or a (preferably published) report on the model.
- If you’ve published any work, please share a link to the one that you are most proud of.
- Coding Challenge: Please go to the following google doc for next steps: https://docs.google.com/document/d/1jUyOInC7rHvtxwRhxGfgV8hujxIGJ3nq8PnlXHn_WII/edit
Experience:
- total work: 3 years (Required)
- Machine Learning: 3 years (Required)
- Senior Machine Learning Engineer: 2 years (Preferred)
Work Location: Remote