AWS Data Science Platform Engineer 

As an AWS Data Science Platform Engineer, you will be an expert professional who works with stakeholders and clients to enable them on Data Science Platform.

Role Purpose

· Be an integral part of the Data Science Platform team, that works with our Clients and provides consultancy to enable them for building machine learning solution

· Work with Product Owners , understand the business use case and Contribute to implementation Data Science solutions

· Expertise in training and deploying AI/ML models using AWS Sage maker platform

· Technical expertise in data management, feature engineering, machine learning and automation to design, build, deploy, and maintain MLOps solutions

· Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams.

Essential Knowledge & Experience:

· Required 6-7 + years’ experience of building data science projects using AI/ML models.

· Hands on experience on AWS Sage maker technology – Must be hands on with Machine Learning programming and pipeline creation

· AWS Sagemaker training certification preferred

· Required additional development skills:

– Jupyter , TensorFlow Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras, etc.

– Programming – Python with pytorch and tensorflow

– Data – SQL, EDA, Descriptive and Predictive analysis, visualization

– Web services – RESTful APIs and API testing, JSON, etc.

– Tools – Git, npm, pip, Heroku, or other tools.

· Proficiency across OS (Linux, Windows) and server platforms

· Preference for proven experience in adapting algorithms to required models – Regression, Decision Trees, Random Forests, LLM.

· Documentation of documentation of APIs, models, and operational manuals (Markdown, etc.).

· Must be able to work on end to end activities from design, development and deployment

Qualifications

Education / Qualifications

Bachelor’s degree in data science, Artificial Intelligence, Mathematics, Statistics or related quantitative sciences OR Bachelors degree with Diploma/certificate in Machine Learning + strong experience in building AI/ML code using Sagemaker .