Senior Python Developer (Python/AWS/MLOps)
Senior Python Developer (Python/AWS/MLOps)
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Job Description
About the Role
TheSenior PythonDeveloperwill be expected to design build and iterate on components of the machine learning software and the quantitative research infrastructure. The Senior Developer will be a key pillar of our core business and will be an inseparable member of the team fully integrated and in sync with the MLOps and research process. Critical thinking will be required on a daily basis to evaluate and prioritize projects as well as solve complex problems. Planning time management and the ability to clearly communicate both the benefits and the limitations of different solutions and approaches is key. The ideal candidate is someone with extensive Python AWS Docker MLOps experience combined with a creative mindset and data awareness. Beyond that thePharVisionteam values self-awareness intellectual curiosity and a team-player mentality. You will be working side-by-side and learning from experienced investment professionals data engineers and quantitative ML researchers.
PharVision is committed to providing flexible career development and growth opportunities.
Responsibilities
- Design develop test and maintain software solutions (hands-on)
- Build CI/CD pipelines
- Think critically and improve the existing internal software
- Think creatively innovate and solve complex problems
- Lead and mentor the rest of the team and help implement best practices in coding
Technical Skillset Requirements
- Ideally 8 years of experience programming in Python
- Proficiency in cloud computing (preferably AWS)
- Experience working with docker containers
- Experience working with large data sets
- Experience working with task scheduling and DAGs
- Exposure to unit and integration testing frameworks
- Proficiency in Git
Soft skills requirements
- Great communication skills both written and oral
- Self-awareness intellectual curiosity and a team-player mentality
- Self-starter enthusiastic and positive thinker
Nice to Have
- Degree(s) in a technical or quantitative discipline like statistics mathematics physics electrical engineering or computer science
- Exposure to packages such as pandas NumPy statsmodels sklearn scipy matplotlib and TensorFlow
- Understanding of time series analysis data mining numerical methods and statistical tools including PCA and regression
- Exposure to the Agile approach and methodology
- Experience or at least interest in machine learning techniques time series analysis and econometrics
- Experience in Deep Learning: DNN CNN RNN/LSTM GAN or other autoencoders
- KX / KDB / q experience
- Basic understanding of equity markets
Required Experience:
Senior IC
Employment Type
Full Time
