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Salary
≈ $22k – $51k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

First seen by Alion on Sep 23, 2026.

Overview
Company
Impact
Profile match
RattanIndia Enterprises Limited is the flagship company of Rattanindia Group for its new age growth businesses. The company is completely focused on providing world class electric mobility products which are affordable and accessible to every Indian.

About Us :


NeoSky India Limited is a leading provider of innovative drone solutions, catering to a diverse range of industries and government sectors. NeoSky is a wholly owned subsidiary of RattanIndia enterprises (REL). RattanIndia group is a business conglomerate with two listed companies with a market cap of around Rs.20000 Cr and employs around 2700 employees with REL mainly into new age tech businesses like eCommerce, Drones, EVs, FinTech and Fashion brands.

Job Overview :


We are seeking a talented Artificial Intelligence and Machine Learning Engineer to contribute to the development of state-of-the-art UAVs and drones. In this role, you will design and implement advanced algorithms to enable fully autonomous operations for Unmanned Aerial Systems (UAS).


We are looking for individuals with a deep passion for AI, a strong foundation in data science, and a commitment to staying at the forefront of aerospace innovation. If you are eager to shape the future of AI-powered aerospace solutions in complex and dynamic environments, we invite you to join our team.

Key Responsibilities :

- Work in R&D AI/ML team to develop and maintain scalable machine learning solutions for production.

- Conduct research and development to create end-to-end solutions for computer vision, image processing, and pattern recognition.

- Design AI/ML systems for UAVs to analyze large datasets and generate predictive insights.

- Conduct statistical analyses, interpret test results, and run performance tests.

- Identify patterns using data modeling and evaluation strategies to make accurate predictions.

- Explain complex processes clearly to non-technical stakeholders.

- Research and implement best practices to enhance machine learning infrastructure.

- Experiment with and utilize open-source libraries for innovative solutions.

- Troubleshoot, diagnose, and enhance the performance of existing products.

- Collaborate on framework evolution by building reusable code and libraries.

Key Skills and Competencies :


- Proficiency in Python and essential libraries NumPy, Pandas, Scikit-learn, OpenCV, SciPy.

- Hands-on experience with deep learning (Neural Networks) using PyTorch or TensorFlow.

- Expertise in computer vision for object and action recognition, 2D/3D image processing, and geometry.

- Experience in deploying computer vision applications on edge devices (e.g., Raspberry Pi and Nvidia Jetson).

- Knowledge of ONNX, OpenVINO, and edge computing technologies like Google Coral.

- Experience with AWS or Google Cloud platforms.

- Algorithms for feature extraction, pattern recognition, and clustering (e.g., SVMs, Random Forests).

- Knowledge of Convolutional Neural Networks (CNNs) for image classification, segmentation, and detection.

- Familiarity with architectures like ResNet, YOLO, Mask R-CNN, and UNet.

- Proficiency in optimizing data processing pipelines and ML runtime performance.

- Solid understanding of engineering principles, data structures, and database management.

- Experience with Linux environments.

- Knowledge of writing production-grade REST APIs in Python or similar languages.

- Strong foundation in math, probability, statistics, and algorithms.

- Expertise in developing end-to-end ML solutions.

- Experience with GPUs, TPUs, and libraries like CUDA for accelerated computation.

- Containerization tools (e.g., Docker) for scalable deployments.

Qualifications :


- B.Tech / M.Tech in Computer Science / Data Science with 3+ Years of relevant experience.

Location :


- Bangalore, India

Skills

Artificial Intelligence, Machine Learning, Data Modeling, Statistical Modeling, REST API, Python, Neural Networks, Computer Vision, Tensorflow, Cloud

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