Key Responsibilities :
- Develop and Implement AI Algorithms :
- Design, implement, and optimize machine learning algorithms specifically for autonomous systems, focusing on reinforcement learning, deep learning, and computer vision.
- Work on algorithms for autonomous navigation, including path planning, localization, and decision-making to enable robots to navigate dynamic environments.
- Research and Development :
- Conduct research to develop algorithms that enhance human-robot interaction, ensuring intuitive and responsive robotic behavior.
- Stay updated with the latest advancements in AI / ML, computer vision, and autonomous systems to contribute innovative ideas and solutions.
- Simulation & Testing :
- Use simulation environments like OpenAI Gym to test and refine AI / ML models, ensuring optimal performance for reinforcement learning and autonomous system tasks.
- Ensure algorithms are optimized for real-time performance, efficiency, and resource-constrained environments, focusing on low-latency and high-accuracy outputs.
- Collaboration & Integration :
- Work closely with robotics engineers and other AI specialists to integrate machine learning algorithms into robotics platforms.
- Ensure seamless integration of machine learning models for real-time applications.
- Documentation & Methodologies :
- Provide clear documentation for AI algorithms, testing results, and methodologies to ensure reproducibility and alignment with project goals.
Required Skills & Qualifications :
Educational Qualification :Bachelor's or Master's in Computer Science, AI, Data Science, or a related field.Specialization in Machine Learning, Computer Vision, or Autonomous Systems.Experience :3-5 years of experience in AI, with a focus on reinforcement learning, deep learning, and computer vision.Experience in developing algorithms for autonomous navigation, decision-making, and human-robot interaction.Technical Skills :Industrial Background : Experience with companies specializing in autonomous vehicles, humanoid robots, or AI-driven products. Familiarity with robotics platforms involving reinforcement learning or machine perception.Programming Languages : Proficiency in Python, C++, and MATLAB.AI / ML Frameworks : Strong experience with AI / ML frameworks such as TensorFlow, PyTorch, Keras, OpenCV, and Dlib.Simulation Environments : Experience with simulation environments like OpenAI Gym for reinforcement learning.Computer Vision & Deep Learning : Familiarity with computer vision techniques for object detection and tracking.Core Competencies :
Strong problem-solving and algorithm development skills.Ability to work in a collaborative environment with cross-functional teams, including robotics engineers.Good communication skills to articulate complex AI / ML concepts to team members and stakeholders.Proactive and passionate about staying at the forefront of AI / ML technologies.Ability to optimize algorithms for resource-constrained environments while maintaining high performance.Benefits :
Competitive salary and performance-based incentives.Opportunity to work on cutting-edge AI / ML technologies in autonomous systems and robotics.Career growth and development through continuous learning and upskilling.Health insurance and other employee benefits.Skills Required
Artificial Intelligence, C C++, Python