Sr. AIML Engineer

Hybrid in Charlotte, NC, US • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
No Travel Required
Able to Sponsor
Hybrid
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

🧠 Analyzing your skills...

Job Details

Skills

  • Amazon SageMaker
  • Artificial Intelligence
  • Machine Learning Operations (ML Ops)
  • PySpark
  • PyTorch
  • Python
  • XGBoost
  • scikit-learn
  • TensorFlow
  • Machine Learning (ML)

Summary

Sr. AIML Engineer

Charlotte, NC - 3 days a week onsite

Long term Contract

Required Qualifications

  • 5–8+ years of professional experience in ML engineering, data engineering, or related fields.
  • Expert-level proficiency in Python and ML frameworks (Scikit‑learn, TensorFlow, PyTorch, H2O, XGBoost, etc.).
  • Hands-on experience with AWS SageMaker for training, tuning, deployment, and pipeline automation.
  • Strong knowledge of H2O.ai (Driverless AI or H2O3), AutoML frameworks, and enterprise ML workflows.
  • Proficient with MLflow for experiment tracking, model packaging, and deployment.
  • Advanced experience with PySpark and distributed data processing.
  • Experience with AWS EMR for Spark cluster management and large‑scale data transformations.
  • Solid understanding of MLOps concepts: CI/CD for ML, feature stores, monitoring, drift detection, model governance.
  • Strong background in object‑oriented programming, algorithm design, and software engineering best practices.
  • Experience with Docker and containerized ML workloads.
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: 90982944
  • Position Id: 8932783
  • Posted 3 hours ago

Company Info

About VHL Technologies

OUR CORE EXPERTISE




We have a large pool of expert resources that specialize in all aspects of the Big Data Technology stack including Spark SQL, spark streaming, Hive, Pig, Storm, Hbase and MongoDB, Cassandra, Redis and other NoSql technologies. We take pride in partnering with companies to help them harness the power of big data, enabling advanced analytics, AI, BI and deep learning. We are obsessed with all things data and our vision is to enable companies explore and monetize massive amounts of unexplored data assets at the speed of thought.
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