Dice
Senior Artificial Intelligence (AI) Engineer [ No C2C or 1099 ]
Dice, Little Ferry, New Jersey, us, 07643
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.
Position Responsibilities:
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 line 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 a 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:
Bachelor's Degree in Computer Science, Information Systems, Statistics, Applied Math or equivalent
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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.
Position Responsibilities:
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 line 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 a 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:
Bachelor's Degree in Computer Science, Information Systems, Statistics, Applied Math or equivalent
#J-18808-Ljbffr