Machine Learning and MLOps Engineer

Saino Koyo Consulting

7 - 12 years

25 - 30 Lacs

bengaluru mumbai (all areas)

Posted:6 hours ago| Platform:

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Skills Required

aws sagemaker mlops machine learning tensorflow pytorch docker cicd pipeline scikit-learn python

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities -

Lead the architecture, design, and implementation of robust, scalable, and high-performing ML and AI platforms.
Deep expertise in designing and deploying ML/AI platforms, specifically using AWS SageMaker and MLOps..
Hands-on implementation of parallel computing and distributed training methodologies to enhance the efficiency and scalability of machine learning models.
Collaborate closely with data scientists and engineers to deploy complex ML and deep learning models into mission-critical production systems.
Ensure best practices in CI/CD, containerization, orchestration, and infrastructure-as-code are consistently applied across platforms.
Foster a culture of innovation, continuous improvement, and self-service analytics across the team and organization.

Knowledge and Skills:

Deep expertise in designing and deploying ML/AI platforms, specifically using AWS SageMaker and MLOps.
Strong proficiency in Python and its ecosystem (e.g., TensorFlow, PyTorch, scikit-learn).
Extensive hands-on experience with parallel computing frameworks and distributed processing.
Proficient in SQL, ETL, data warehousing, and data modeling techniques.
Thorough understanding of statistical analysis, predictive modeling, and data mining methodologies.
Proven capability of deploying machine learning models into production at scale.
Familiarity with CI/CD pipelines, containerization (Docker), and version control (Git).

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