What are the responsibilities and job description for the Data Scientist with MLOps position at TekValue IT Solutions?
7 years of professional experience in data science and machine learning
3 years of hands-on experience with MLOps and production ML systems
Proven track record of deploying and maintaining multiple ML models in production at scale
Deep expertise with Google Cloud Platform and Vertex AI ecosystem
Strong experience architecting ML pipelines using Kubeflow, TFX, Vertex Pipelines, or similar Technical Skills
Expert-level proficiency in Python and multiple ML frameworks (TensorFlow, PyTorch, JAX)
Advanced knowledge of distributed computing and model training (Ray, Horovod, distributed TensorFlow)
Strong understanding of containerization (Docker), Kubernetes, and microservices architecture
Expertise in SQL, BigQuery, and distributed data processing (Dataflow, Spark)
Experience with infrastructure as code (Terraform, Cloud Deployment Manager)
Proficiency with version control systems and collaborative development workflows
Leadership & Communication
Hourly Wage Estimation for Data Scientist with MLOps in Atlanta, GA
$43.00 to $54.00
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Data Scientist with MLOps?
Sign up to receive alerts about other jobs on the Data Scientist with MLOps career path by checking the boxes next to the positions that interest you.
