| Sr. Data Scientist ( Reinforcement learning experience) Location: Remote 3+ Months contract at Remote, Remote, USA |
| Email: [email protected] |
| Hi All, Please find the role below and let us know if you have suitable profile. Sr. Data Scientist ( Reinforcement learning experience) Location: Remote 3+ Months contract Job Summary: We are seeking an experienced Data Scientist with a specialization in Reinforcement Learning (RL) and its application in quantitative trading or portfolio management. The selected candidate will work on developing a package for RL to apply to many use cases and end their contract training other data scientists in how to utilize the package. Key Responsibilities: 1. Package Development: Develop a package for NRG to execute Reinforcement Learning (RL) on AWS Sagemaker. The package should allow for the use of multiple agents and allow for easy implementation of agents across different problems. NRG needs the ability to deploy multiple agents to solve problems mainly for portfolio management purposes. - Deploy the building blocks of a reinforcement learning problem to NRGs data packages. - Code should be modular. Strong acumen for OOP preferred. - Package should address complex multi-agent problems which are common in portfolio optimization. - Package should have functionality for the evaluation of models, hyper-parameter optimization, model/scenario explainability, and the display of results to the trading team. - Experience in Quantitative trading or deploying RL for similar optimization problems required. 2. Proof of Concept Deployment: Design, implement, and evaluate the RL package on a POC after package deployment. 3. Documentation & Training: Train other data scientists on NRGs team to swap agents, change the environment, rewards, etc... Detailed documentation of the RL package will be required. Qualifications: 1. Education: Master's or PhD in Computer Science, Machine Learning, Financial Engineering, Operations Research or a related field. 2. Experience: At least 5 years of professional experience in reinforcement learning deploying models at scale on AWS required. Experience contributing to building python packages in RL or other ML fields preferred. Prior model deployments with a specific focus on applications in quantitative trading or portfolio management preferred. 3. Technical Skills: Proficiency in Python and familiarity with popular RL libraries such as TensorFlow, PyTorch, and OpenAI Gym. Must also have a familiarity with cloud platforms deploying and training RL models (AWS Sagemaker). 4. Software Engineering Skills: Solid grasp of software design principles, data structures, and algorithms pertinent to trading environments. 5. Communication: Excellent written and verbal communication skills; ability to relay complex trading strategies and outcomes to various stakeholders. 6. Teamwork: Demonstrated experience working effectively in cross-functional teams, especially within a high-pressure trading context. Nice-to-Have: 1. Experience with high-frequency trading environments. 2. Publications or notable contributions in the realm of RL for quantitative finance. Kind Regards , Ashwa Mohan Delivery Lead- US Process ( Recruitment) An ISO 9001:2015 Certified Company and Proud Member of NASSCOM Phone : 919 439 3682 extn 9014 : [email protected] LinkedIn : linkedin.com/in/mohan-kumar-b7949444 Our Locations: India | USA | UK www.infomericainc.com Follow us This e-mail, and any attachment, is confidential. If you are not the intended recipient, please delete it from your system, do not use or disclose the information in any way, and notify the sender immediately. Any views expressed in this message are those of the individual sender and may not be the views of Infomerica, unless specifically stated. No warranty is made that the e-mail or attachment (s) are free from computer viruses or other defects. -- Keywords: machine learning information technology |
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| Thu Sep 21 20:23:00 UTC 2023 |