Sr. AI/ML Engineer

Hybrid in Charlotte, NC, US • Posted 18 days ago • Updated 18 days ago
Contract W2
No Travel Required
Hybrid
Depends on Experience
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Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • MLOps
  • Amazon SageMaker
  • Machine Learning Operations (ML Ops)
  • Machine Learning (ML)
  • PyTorch
  • PySpark
  • Sage

Summary

Title: Sr. AI/ML Engineer
Location: 340 E 16th Street Charlotte NC 28206
 
Job Description -

Skills: Python, Pyspark, AWS Sage maker, MLops, Machine Learning, Data Science.

Description:
 
Required Qualifications: Bachelor’s degree in computer science, Information Systems or related discipline; Or 10+ years of prior equivalent work-related experience in lieu of a degree.
 
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. Previous machine learning experience in model training and predictions. Experienced working in cloud technologies.
 
Production level experience in Python (clean coding, testing, packaging).
Solid understanding of ML algorithms, optimization, feature engineering, and model evaluation methodologies.
Hands on experience with TensorFlow, PyTorch, Scikit learn
Strong background in data wrangling, statistical analysis, SQL, and data visualization tools/libraries.
Proven experience applying optimization techniques in real world ML or analytics workflows.
Strong knowledge of deploying ML models to production.
 
Preferred Qualifications:
Familiarity with AWS services for ML workflows (S3, Lambda, EC2, SageMaker, etc. is a plus).
Prior experience collaborating in cross functional product teams.
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 docker/MLOPS and its orchestrations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91170791
  • Position Id: 8886465
  • Posted 18 days ago

Company Info

About Purple Hires

At Purple Hires, we are dedicated to consistently delivering an outstanding recruitment experience that benefits both our clients and candidates.

We are committed to excellence in every aspect of our recruitment process. From understanding client requirements to sourcing, screening, and presenting the most suitable candidates, we maintain high standards and a results-driven approach. Our goal is not just to fill positions but to add genuine value to our clients’ teams by finding the right talent.

Honesty and openness are at the heart of our recruitment practices. We believe that clear, consistent communication fosters trust and reliability. Whether discussing job requirements, candidate expectations, or process timelines, we ensure that all parties remain well-informed and engaged. Transparency is key to building long-term relationships and ensuring mutual satisfaction.

Respect for both clients and candidates underpins our entire approach. We treat every individual with dignity and professionalism, recognizing that a positive experience leaves a lasting impact. From initial engagement to final placement, we handle each interaction with empathy and consideration, promoting a respectful and inclusive environment.

By combining performance, transparency, and respect, we create a seamless, rewarding recruitment experience. Clients can rely on us for consistent quality and integrity, while candidates feel valued and supported throughout their journey. This holistic approach allows us to build sustainable relationships and maintain a reputation as a trusted recruitment partner.

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