What are the responsibilities and job description for the MlOps Engineer position at CogniSoft Technologies?
10 Years of professional experience in Software Engineering & 3 Years in AIML, Machine Learning Model Operations.
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
Experience with cloud platforms and containerization (Docker, Kubernetes).
Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
Solid understanding of software engineering principles and DevOps practices.
Ability to communicate complex technical concepts to non-technical stakeholders.
Salary.com Estimation for MlOps Engineer in Concord, CA
$169,580 to $208,082
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What is the career path for a MlOps Engineer?
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