Roles and Responsibilities :
- Design develop test and deploy scalable data pipelines using Python to extract insights from large datasets.
- Collaborate with crossfunctional teams to identify business requirements and design solutions that meet those needs.
- Develop machine learning models using PyTorch or TensorFlow to solve complex problems in finance domain.
- Analyze time series data using advanced SQL techniques to identify trends and patterns.
- Ensure highquality code by writing unit tests integrating with GCP services such as BigQuery and Pub/Sub.
- Responsible for fully understanding and delivering cloudbased applications
- Understand business needs and conduct technical discussions Provide technical oversight and review of technical artifacts throughout the project
- Work with the team to create backend services by translating application storyboardsand use cases into functional applications
- Ensure the best possible performance quality and responsiveness of the applications
- Mentor people in engineering team.
Job Requirements :
- Strong proficiency in Python programming language along with expertise in machine learning libraries like scikitlearn or TensorFlow.
- Experience working with relational databases (SQL) for querying large datasets.
- Familiarity with cloudbased technologies such as Google Cloud Platform (GCP).
- Advanced knowledge of time series analysis techniques.
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