Strategic Staffing Solutions
AI Specialist II
Location: Charlotte, NC. “NO C2C”
Duration: 24 months
Requirements:
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Top three skills:
- Proficient in Geospatial and Computer Vision analysis, with extensive knowledge of machine learning and deep learning algorithms
- Skilled in Sagemaker AWS service
- Strong data engineering capabilities on AWS
Required Qualifications: Bachelor’s degree in computer science, Information Systems or related discipline; Or 6 years of prior equivalent work-related experience in lieu of a degree.
Work experience in addition to degree: 1-2 years.
Job-specific knowledge, skills or abilities: Working knowledge of building data pipelines for ingestion & transformation. 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.
Preferred Qualifications:
Working experience in building machine learning & deep learning models (Classification/ Regression / Time Series / NLP / Computer vision)
Experience in data ingestion from various data sources like SQL Server, Oracle, kafka etc.
Good working experience in Python
Should be able to work with the MLOps to build data pipelines for model executions.
Knowledge in docker/MLOPS and its orchestration
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.
Preferred Qualifications:
Support, collaborate & work along data scientists to ensure optimal data/model delivery
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.
Experience in data ingestion from various data sources like SQL Server, Oracle, Hive etc.
Good experience in Architectural and security patterns.
Knowledge in building basic machine learning models (Classification & Regression)
Knowledge in docker/MLOPS and its orchestrations.”
“Beware of scams. S3 never asks for money during its onboarding process.”
Job ID: JOB-239693
Publish Date: 03 Jan 2025