Machine Learning Engineer - REMOTE -

Hi All,  Please work on the below requirement on high priority. Please fill in the table with every submission. Please look for a DevOps Engineer with one Machine Learning project deployment.   ML Ops Candidate Names Total exp. (10+) Relevant Exp. in ML Ops Must Have Should Have (CI/CD) and Pyspark Should Have ML Model Building Notice Period Any offer in hand ML Model Deployment Exp. in Python Coding AWS Sagemaker       Y/N Y/N Y/N Y/N Y/N   Y/N                           Role – ML Engineer Location – Remote   The below skills are mandatory. ML model deployment ML model building Hands on exp. On Python skills ML Ops     ML Engineer Data Tech team at Prudential Financials is looking for a ML Engineer to join a diverse team dedicated to providing best in class data services to our customers, stakeholders and partners.As a part of our CDO organization, you will work with our Data Science and BUs to define solutions for operationalizing data-driven decision making in a cost effective and scalable manner. A full stack engineer with deep understanding of data science and software engineering practices.   Job Responsibilities: • Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture. • Design and implement Machine learning models and data ingestion pipelines. • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models. • Expand and optimize data pipelines, data flow, and collection for cross functional teams. • Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements. • Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability. • Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources. • Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs. • Implement Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS Sage Maker environment • Experience in container, streaming and messaging technologies is a plus   Qualification: • Bachelor's degree in computer science, data science, mathematics, or a related field. Master’s degree preferred • At least two years' experience as a machine learning engineer. • Advanced proficiency with Python framework, Java and Scala • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. • Good understanding of mathematics, statistics, and algorithms. • Excellent analytical and problem-solving abilities. • Great communication and collaboration skills."       Thanks & Regards   S Arun Raj Kumar | Sr Technical Recruiter Direct: 510-227-8285 EXT: 530 Email: arun@fisecglobal.net | Website: http://www.fisecglobal.net   FiSec Global Inc: An E-Verified Company   Great  Place to Work.

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