AWS Data Science Platform Engineer

Greetings Everyone,

We are urgently looking for AWS Data Science Platform Engineer.
Locations: India

Job Summary:

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 .

Eligible candidates, please share their resume/CV

Regards,
PearSon International, Hyderbad, India  🇮🇳
PearSon Spolka Z Ograniczona Odpowiedzialnoscia, Wroclaw, Poland 🇵🇱
Email: info@pearsonpl.com | Website: www.pearsonpl.com