Job Description

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Job Type:

Full-time

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:

We are seeking a passionate and motivated

Deep Learning Engineer (Reinforcement Learning)

with up to one year of experience to join our team in the field of medical robotics. The ideal candidate should possess a solid foundation in deep learning, linear algebra, and fundamentals of reinforcement learning (RL). In this role, you will focus on developing and implementing RL-based models for surgical robots, driving innovation in AI-powered medical technologies, and contributing to impactful real-world applications.

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Key Responsibilities:

Develop and implement deep learning models with a focus on reinforcement learning. Work with neural network architectures such as CNNs, RNNs, Transformers, and deep RL algorithms. Preprocess and analyze datasets for RL training and evaluation. Assist in designing experiments and benchmarking RL algorithms. Optimize RL models for performance and efficiency. Collaborate with team members to integrate RL models into real-world applications. Document and present findings in team discussions and research reports.
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Required Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Mathematics, or a related field. Up to 1 year of experience in deep learning, machine learning, or reinforcement learning. Strong understanding of deep learning fundamentals. Basic knowledge of reinforcement learning concepts such as Markov Decision Processes (MDPs), policy gradients, Q-learning, and actor-critic methods. Proficiency in Python and deep learning frameworks like

PyTorch

. Solid foundation in

linear algebra

, and

probability

. Good problem-solving and analytical skills.
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Preferred Qualifications:

Familiarity with Pybullet, OpenAI Gym, and other RL environments.


If you are passionate about reinforcement learning and want to gain hands-on experience in the field, we would love to hear from you!

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How to Apply:

Please send your resume and a brief cover letter explaining your interest in the role to

ragu.b@htic.iitm.ac.in