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Senior MLOps

Posted 2024-11-19

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πŸ’Ž Seniority level: Senior, Minimum 3 years

πŸ“ Location: Philippines

πŸ” Industry: Digital transformation, consulting, software, technology

🏒 Company: Intellectsoft

πŸ—£οΈ Languages: English

⏳ Experience: Minimum 3 years

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.
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