Senior MLOps Engineer

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Requirements:

• A degree in Computer Science, Engineering, Mathematics, or a relevant field.
• Minimum 3 years of experience in deploying and managing ML models.
• Proficiency with ML Ops for assessing and monitoring model performance and scalability.
• Skilled in creating feature engineering processes and inference pipelines.
• Strong programming skills in Python.
• Experience with distributed computing frameworks like Spark (PySpark).
• Experience with ML platforms like Airflow or other orchestration frameworks (SageMaker, Kubeflow, MLFlow).
• Proficiency in deploying models on cloud platforms such as AWS, Azure, or GCP. Experience with Kubernetes is a plus.
• Experience with DevOps concepts, CI/CD pipelines, and data security measures.
• Hands-on experience in data engineering within Big Data ecosystems.
• Familiarity with machine learning and deep learning principles.
• Knowledge of fundamental computer science concepts including common data structures and algorithms.
• Ability to collaborate effectively with diverse teams.
• Excellent English language skills.

Responsibilities:

• Develop, refine, and use ML engineering platforms and components.
• Ensure programs can efficiently handle large volumes of data and meet deadlines.
• Establish and manage processes for models, including data preparation and prediction.
• Monitor model performance closely and address any issues promptly.
• Collaborate closely with client-facing teams to understand their needs and provide technical support.
• Translate client requirements into straightforward features.
• Write robust code that is easy to test, maintain, and troubleshoot.
• Maintain high standards by adhering to guidelines, participating in code reviews, and ensuring code quality.
• Thoroughly test all components to anticipate and resolve potential issues.
• Utilize tools for issue tracking, code review, and version control.
• Actively participate in team meetings to discuss progress and future plans.
• Stay updated on the latest developments in technology and explore innovative solutions.