AI Engineer
Posted on :
25-05-2022
Employer Active
1 Vacancy
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Job Description
Req ID : 1102221
We are looking for a Senior AI engineer to join our team. We are interested in individuals with knowledge and experience in developing and evaluating different reinforcement learning (RL) architectures and algorithms, and in their applications in experimentation and causal inference. You will have the unique opportunity of defining and building from scratch reinforcement learning features for our next-generation machine learning platform for equitable fintech.
Responsibilities:
- 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
Minimum Qualification
- 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
RNS Solutions offers an outstanding culture that focuses on learning opportunities, international exposure by participation at international and national conferences, and career growth.
- 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
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 Minimum Qualification 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
Employment Type
Full Time
Key Skills
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