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Machine Learning Specialist

Job in 110006, Delhi, Delhi, India
Listing for: Toptal
Full Time position
Listed on 2026-02-25
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Job Description & How to Apply Below
Join Toptal's Elite Network of Freelance Talent
Toptal is an exclusive network of the world's top freelance software developers, designers, finance experts, product managers, and project managers. As one of the fastest-growing fully remote networks globally, we empower professionals to thrive in their freelance careers while working with leading companies around the world.

About the Client
Our client is a Japanese semiconductor manufacturer headquartered in Tokyo, known for its commitment to quality.

Role:
Senior MLOps Engineer/Architect
We are seeking a  Senior MLOps Engineer / Architect  to lead the design, development, and validation of scalable MLOps workflows. In this role, you will collaborate closely with developers, data scientists, and product teams to ensure alignment with business objectives and production-grade machine learning systems.

Responsibilities
Design, validate, and implement robust MLOps pipelines.
Ensure reproducibility, scalability, and efficiency across the ML lifecycle.
Collaborate with cross-functional teams to align workflows with business and technical goals.
Establish standards for model validation, deployment, and monitoring.
Contribute to CI/CD practices for machine learning models.
Monitor deployed models and maintain performance over time.

Key Skills & Technologies
Programming:  Python
MLOps & ML Pipeline Development
Tools & Orchestration:  MLflow, Kubeflow, Airflow, or similar
CI/CD:  Git, Jenkins, Docker, Kubernetes
Model Lifecycle Management:  Validation, deployment, monitoring, retraining
Must have:
Bachelor's or Master's Degree in Data Science or related field

Additional Details
Time-zone:  4 hours of overlap with Tokyo, Japan
Type:  Full-time contract
Duration:  12+ months
Remote:  Yes (fully remote)
Authorization:  Applicants must be authorized to work in their country of residence without employer sponsorship
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