Associate Principal Engineer, Data Science
Associate Principal Engineer, Data Science
Posted on :
03-08-2025
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1 Vacancy
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Job Description
REQUIREMENTS:
- Total experience 11 years.
- Hands on working experience in data science with a focus on predictive modeling and optimization.
- Strong working experience with Data Science on GCP Generative AI fundamentals.
- Strong experience with Python (and/or R) and libraries such as Pandas NumPy Scikit-learn TensorFlow PyTorch.
- Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. Azure GCP).
- Proven expertise in machine learning mathematical optimization (e.g. LP IP genetic algorithms RL) and NLP techniques.
- Familiarity with Generative AI fundamentals and hands-on experience with RAG Lang Chain Llama Index and prompt engineering.
- Strong understanding of MLOps principles and tools for CI/CD monitoring and model lifecycle management.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation.
- Writing and reviewing design document explaining overall architecture framework and high-level design of the application for the developers.
- Reviewing architecture and design on various aspects like extensibility scalability security design patterns user experience NFRs etc. and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies patterns and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects.
- Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Department / Functional Area
Key Skills
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