Artificial Intelligence (AI) Specialist

Company: Strategic Staffing Solutions
Location: Charlotte, North Carolina, United States
Type: Full-time
Posted: 29.MAY.2021
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Summary

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING! Strategic Staffing Solutions (S3) prides itself on being an international IT Staffing and Solu...

Description

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

Strategic Staffing Solutions (S3) prides itself on being an international IT Staffing and Solutions company with 25 years' of experience recruiting and managing exceptional IT and Business consultants for customers in the Financial, Energy, Public Sector and Retail Distribution industries. A privately held, financially strong, woman-owned company, S3 is a full service IT firm, with 24 major market locations in the U.S!

Strategic Staffing Solutions (S3) is currently looking for an AI Specialist consultant for a 1 year contract opening with one of our large energy clients located in: Charlotte, NC

Artificial Intelligence (AI) Specialist

AI Specialists are the switch-hitters of the Artificial Intelligence Solutions. They straddle the disciplines of Data Science & Data Engineering to build data pipelines for model ingestion and retrain models. AI Specialists in the AI Solution group bring skillsets before, during and after machine learning models development in the form of data / software engineering & Machine Learning. They should have a passion for data and should be able to build data pipelines to provide data to the data scientists and automate data ingestion for training and predictions. This person should have good skills in Machine Learning / Deep Learning. They will be developing both on-prem and cloud solutions. They will be an integral member of product teams, working very closely with architects and cyber for secure AI implementations with approved patterns. They will be participating and contributing in various COP s (AI, Cloud, Architecture, Angular etc.). Must have leadership skills to lead and deliver projects, be proactive, take ownership, interface with business, represent the team and spread the knowledge.

Required Qualifications:

Bachelor s degree in computer science, Information Systems or related discipline; Or 8 years of prior equivalent work-related experience in lieu of a degree.

Work experience in addition to degree: 3 - 4 years of real hands-on Machine Learning & Engineering.

Job-specific knowledge, skills or abilities: Working knowledge of building data pipelines for ingestion & transformation. Hands on machine learning experience in model training and predictions. Good SQL programming skills. Working knowledge of programming in different languages. Knowledge in using and building CI/CD pipelines. Good understanding of Architectural patterns in developing secure AI. Good team player and understanding of Agile process. Experienced working in cloud technologies.

Preferred Qualifications:

Support, collaborate & work along other data scientists to ensure optimal data/model delivery

Working experience in building machine learning & deep learning models (Classification/ Regression / Time Series / NLP)

Cloud expertise in AWS Sagemaker / ML Services.

Experience in data ingestion from various data sources like SQL Server, Oracle, Hive etc.

Good working experience in ETL (SSIS OR Sqoop/Spark)

Good working experience in Python AND/OR PySpark.

Expert SQL knowledge (All types of Joins, CTE s, Indexes, Stored Procedures, SQL performance)

Should be able to work with the MLOps to build data pipelines for model executions.

Good experience in Architectural and security patterns.

Knowledge in docker/MLOPS and its orchestrations

Knowledge in advance ML (NLP, Computer vision, Time Series)

The S 3 Difference

The global mission of S 3 is to build trusting relationships and deliver solutions that positively impact our customers, our consultants, and our communities. The four pillars of our company are to:


  • Set the bar high for what a company should do
  • Create jobs
  • Offer people an opportunity to succeed and change their station in life
  • Improve the communities where we live and work through volunteering and charitable giving

As an S3 employee, you're eligible for a full benefits package that may include:


  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Plan
  • Vacation Package
  • Life & Disability Insurance Plans

 
Apply Now

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