Job Title: AI Researcher

Experience: 3 – 5 Years

Job Type: Full-Time, Research and Development

Key Responsibilities:

1. Research & Development in AI:

   • Conduct research on AI/ML techniques, including reinforcement learning, generative AI, and multi-agent systems.
   • Solve complex problems related to robotics, such as perception, control, and decision-making.
   • Develop and prototype AI solutions for practical applications.

2. Explore Emerging AI Technologies:

   • Stay updated on new advancements in AI and robotics.
   • Experiment with generative AI for dynamic planning and synthetic data generation.
   • Innovate reinforcement learning techniques for robotic decision-making.

3. Data-Driven Innovation:

   • Work with large datasets, such as IoT and sensor data, to drive AI solutions.
   • Generate synthetic data for training models in data-scarce environments.
   • Optimize data pipelines for better model generalization.

4. Model Validation & Optimization:

   • Validate AI models through testing and benchmarking.
   • Ensure AI models run efficiently on edge devices and embedded systems.
   • Refine models based on real-world performance and feedback.

5. Collaboration & Knowledge Sharing:

   • Collaborate with engineering teams to transition research into production.
   • Mentor team members and provide technical leadership.
   • Publish findings in journals, conferences, and present at industry events.

6. Innovation & Intellectual Property:

   • Identify opportunities for generating intellectual property.
   • Contribute to open-source AI projects and collaborations.

7. Ethical & Responsible AI:

   • Ensure AI models adhere to ethical principles.
   • Mitigate biases and enhance robustness in AI models.

Required Qualifications:

• Ph.D. in Computer Science, Machine Learning, Robotics, or related field (or equivalent experience).
• 3+ years of experience in AI research, specifically in machine learning or robotics.
• Strong background in publishing research in top conferences like NeurIPS, ICRA, CVPR, ICML.

Technical Skills:

• Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience in deep learning architectures like CNNs, RNNs, and Transformers.
• Advanced Python programming skills; C++ or Java for robotics applications.
• Knowledge of robotics software stacks (ROS, Gazebo, OpenCV) and sensor fusion.
• Experience deploying models on edge devices and using cloud platforms (AWS, Azure, GCP).

Preferred Qualifications:

• Experience in control theory, biomechanics, or physics-based modeling for robotics.
• Familiarity with robotics in industrial automation and IoT ecosystems.
• Experience with patent development and open-source contributions.

This role is ideal for someone passionate about cutting-edge AI research, with a strong foundation in robotics and machine learning, and a desire to contribute to the advancement of autonomous systems and industrial automation.