AI Engineer

• Working on the reinforcement learning algorithms that will run in our platform: definition, initial implementation, evaluation and deployment
  
• 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
  

Requirements

• Knowledge of RL applications in fintech, stocks and time series data analysis!
  
• 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...
  
• Experience with deep learning and its frameworks (TensorFlow, Keras, Caffe, Theano...)
  
• Experience with recommendation systems and/or natural language processing
  
• Strong statistical background
  
• Experience with machine learning lifecycle management tools (e.g. mlflow)
  
• Experience with continuous deployment of models with build pipeline
  
• Experience with databricks
  
• Experience with Spark performance tuning, data pipeline testing and MLlib
  

• BSc/BEng degree in computer science, mathematics, physics, electrical engineering, machine learning or related fields; or equivalent technical proficiency
  
• Experience in reinforcement learning and its libraries (Keras-rl, TF-agents, garage, Pyqlearning, ChainerRL )
  
• Solid coding skills in at least one of the following languages: Go, Scala, Python
  

Benefits

• Marketing competitive salary
  
• Provident fund
  
• Health and maternity coverage
  
• Sumptuous, home-cooked lunch (Free)
  
• Accommodation for outstation employees (subsidized)
  
• Expert-led fitness training (subsidized)
  
• Performance bonuses and annual Increments
  
• EOBI membership
  
• Chances to travel abroad
  
• Sponsored Certifications
  
• Mentoring and grooming