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Reinforcement learning Engineer
Location:
Hyderabad, TG, IN, 500032
Req ID [[25663]] [[Hyderabad]], India
At ZF Tech Center, India:
- We curiously investigate everything and provide opportunity to solve problems analytically, creatively and collaboratively
- We believe in learn by doing and provide a space for an entrepreneurial mindset that’s driven by hands-on experimentation
- We embrace resilience by seeing every challenge as a learning opportunity and invitation to grow
- We are driven by passion for product excellence for building great products with distinct customer value and apply continuous improvement and innovation
Your Responsibilities as Reinforcement learning Engineer :
- Formulate real-world causal inference and experimental design problems in terms of different RL algorithms, and independently conduct research to decide upon the best approach
Qualifications :
- Strong proficiency in C++, Python, and best practices in object-oriented design. Familiarity with PyTorch, OpenAI Gym, and RLlib toolkits.
- Experience in reinforcement learning and its libraries (Keras-rl, TF-agents, garage, Pyqlearningpy, ChainerRL…)
- Experience using a variety of RL algorithms: actor-critic, policy gradient, DQN, VFA, SARSA, Q-learning, model-based and model-free Monte Carlo, dynamic programming
- Expertise in statistical modeling, parameter optimization, and system identification techniques.
- Experience benchmarking and debugging complex software systems.
- Ability to work synergically and cross-functionally in large-scale software development projects.
- At ease with Git, Docker, and UNIX-based software development.
Education & Experience:
- MTech, or PhD in computer science, mathematics, physics, electrical engineering, machine learning or related fields; or equivalent research experience
Be part of our ZF team as [[Reinforcement learning Engineer]] and apply now!
Contact
[[Sriram Adluri]]
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