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Senior Artificial Intelligence (AI) Engineer [ No C2C or 1099 ]

Little Ferry, NJ, United States

Dice is the leading career destination for tech experts at every stage of their careers. Our client, PMC, is seeking the following. Apply via Dice today!

Note we are a prime vendor with the end client.

This is a multi-year engagement, salaried on W2 with PTO/Holidays and benefits. The client does not allow people to work on C2C or 1099.

This is a remote position working with teams in any of these states, Michigan, Virginia, and/or California. You must live in the US to be considered for this position.

Contact: Carrie Van Loon, Senior Account Manager/Recruiter at PMC/ABA

JOB DESCRIPTION:

Role Title: Senior AI Engineer

This role is to work with the Data Science team to develop and deploy machine learning solutions of the enterprise application and data landscape.

The following functions are the responsibility of the Sr AI Engineer within Data Science Team.

Position Responsibilities:

Responsibilities includes, but are not limited to the following:

Design, build, deploy, monitor and support production deployment of data science solutions using Google s Vertex AI and AWS Bedrock

Experience in MLOps

Research and implement ML algorithms and tools as a proof-of-concept and move it to the production-ready state

Shows proficiency in Python, Deep Learning, Machine Learning, Neural Networks,

Select appropriate datasets and data representation methods

Optimize and transform data science prototypes/solutions for speed, reliability, and scale

Knowledge of Docker, openshift environment, AWS, Google, Jira, Confluence, REST are big plus.

Implementing parallelization using spark, Kubernetes, etc

Experience with GitHub and GitLab

Testing different platform stacks for performance and efficiency

Strong command lines skills in Linux.

Collaborate cross-functionally with domain experts to identify gaps and structural problems

Present findings and discuss project results with business units

Analyzing, extracting, and optimizing relevant information from large amounts of data to help drive business decisions on product features and operational efficiency

SQL knowledge is must

Competencies:

Knowledge of 10 + years of Python

Data mining experience

Deep knowledge of statistics and practical implementations of computational statistics

Predictive modeling and algorithms

Knowledge of reporting and data visualization

Educational Requirements:

Bachelors Degree in Computer Science, Information Systems, Statistics, Applied Math or equivalent

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