Ai & Deep Learning Scientist

5 days ago

Bengaluru Karnataka, India Pixxel Full time

Department

Customer Solutions

Job posted on

Feb 05, 2025

Employment type

Full-Time

**Educational Qualification**: Education: Master’s or PhD in Computer Science, Machine Learning, AI, Engineering.
**Work Experience**: 4-6 years of experience in ML-based data product R&D with a relevant background in Computer Science, Engineering, or Machine Learning.

**Role Description**:
As a key contributor to Pixxel’s analytics vision, you will:

- Leverage state-of-the-art AI techniques to address complex challenges in imaging analytics, data fusion, and large-scale data processing.
- Develop multimodal AI models that integrate hyperspectral data with other sensor modalities like radar, LiDAR, and weather datasets, enabling actionable insights for clients across diverse industries.
- Work closely with cross-functional teams, translating business and scientific objectives into AI-powered solutions that are scalable, efficient, and impactful.

**Responsibilities & Duties**:

- AI Model Development: Design and implement advanced AI/ML models for classification, prediction, segmentation, and anomaly detection using Pixxel’s hyperspectral data and multimodal datasets.
- Multimodal Data Fusion: Integrate diverse data sources, such as hyperspectral, radar, LiDAR, and ancillary datasets, to enhance feature extraction, accuracy, and scalability.
- Algorithm Optimization: Develop computationally efficient algorithms that can handle large-scale, high-dimensional datasets and deploy them in production environments.
- R&D Leadership: Research and implement state-of-the-art techniques, including Transformer models, GANs, self-supervised learning, and other emerging techniques, to stay ahead in AI innovation.
- Cross-Functional Collaboration: Work with domain experts (e.g., hyperspectral scientists, environmental specialists) to understand the data and define project objectives, translating business problems into robust AI models.
- Communication & Presentation: Clearly explain complex AI concepts, model outputs, and research findings to technical and non-technical stakeholders.

**Skills and Experience Required**:

- Technical Expertise:

- Proficiency in advanced machine learning and deep learning architectures (e.g., CNNs, RNNs, Transformers, GANs, LSTMs).
- Strong background in Python and frameworks such as PyTorch, TensorFlow, or PyTorch Lightning.
- Experience in developing AI models for complex datasets. Experience with imaging data (e.g., hyperspectral, medical, drone, or satellite imagery), is not required, but would be beneficial.
- Solid understanding of key principles in multimodal data fusion, computer vision, and large-scale data processing.
- Communication & Collaboration:

- Strong communication skills to present findings, teach concepts, and collaborate effectively with non-AI experts.
- Ability to work cross-functionally with data scientists, engineers, and domain specialists.
- R&D Mindset:

- Proven experience in implementing cutting-edge research techniques and staying up-to-date with advancements in AI.

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