Job Title: AI / MLOps Engineer
Location: Atlanta, GA (Hybrid)
Duration: 12+ Months Contract
Local Candidates Preferred
EXPERIENCE : 10+ Yrs must
No GC's
Job Description:
We are seeking a highly skilled AI / MLOps Engineer to join our team in Atlanta, GA. The ideal candidate will have strong experience in deploying, monitoring, and maintaining machine learning models in production environments, along with a solid foundation in software engineering and cloud platforms.
Key Responsibilities:
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Design, build, and maintain scalable MLOps pipelines for model training, deployment, and monitoring
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Deploy machine learning models into production using best practices
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Collaborate with data scientists and engineering teams to operationalize AI/ML solutions
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Monitor model performance and implement retraining pipelines as needed
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Ensure reliability, scalability, and security of ML systems
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Automate workflows using CI/CD pipelines
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Work with cloud platforms such as AWS, Azure, or GCP
Required Skills:
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Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
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Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, etc.)
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Experience with containerization (Docker) and orchestration (Kubernetes)
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Knowledge of CI/CD tools (Jenkins, GitHub Actions, etc.)
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Experience with cloud services (AWS, Azure, or GCP)
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Strong understanding of data pipelines and ETL processes
Preferred Qualifications:
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Experience with model monitoring and drift detection
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Familiarity with big data tools like Spark
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Strong problem-solving and communication skills
Contact:
If you are interested, please share your updated resume at: ni...@ukthaglobal.com