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MLOPS Engineer
RARR Technologies
posted 13d ago
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Flexible timing
Key skills for the job
Job Description
- Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud based environment
- Extensive expertise in MLOps with any Cloud Platform and a deep understanding of model performance drift detection and GPU accelerators
- Build and maintain scalable MLOps pipelines for end to end machine learning workflows
- Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection
- Implement real time model monitoring and drift detection to ensure optimal model performance over time
- Optimize model training and inference processes using GPU accelerators and CUDA
- Collaborate with cross functional teams to automate and streamline machine learning model deployment and monitoring
- Utilize Python 310 with libraries such as pandas NumPy and TensorFlow to handle data processing and model development
- Set up infrastructure for continuous training testing and deployment of machine learning models
- Ensure scalability security and high availability in all machine learning operations by implementing best practices in MLOps
- 5 years of experience in MLOps and building ML pipelines
- Deep understanding of the MLOps lifecycle and automation of ML workflows
- Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow
- Strong experience in GPU accelerators and CUDA for model training and optimization
- Proven experience in model monitoring drift detection and maintaining model accuracy over time
- Familiarity with CICD pipelines Docker Kubernetes and cloud infrastructure
- Strong problem solving skills with the ability to work in a fastpaced environment
- Experience with tools like Evidently AI for model monitoring and drift detection
- Knowledge of data versioning and model version control techniques
- Familiarity with TensorFlow Extended TFX or other ML workflow orchestration frameworks
- Excellent communication and collaboration skills with the ability to work crossfunctionally across teams
Employment Type: Full Time, Permanent
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