Senior Engineer - AI ML

Key Responsibilities:

1. 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.

1. 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.

1. 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.

1. 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.

1. 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:

1. 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.
2. Programming Languages: Proficiency in Python, C++, and MATLAB.
3. AI/ML Frameworks: Strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, OpenCV, and Dlib.
4. Simulation Environments: Experience with simulation environments like OpenAI Gym for reinforcement learning.
5. 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.