Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in india
>
Weekday AI (YC W21)
>
Machine Learning Operation Manager

Machine Learning Operation Manager

Weekday AI (YC W21)

6 years

0 Lacs

india

Posted:2 days ago| Platform:

Apply

Skills Required

learning ml model training deployment monitoring optimization leadership collaboration research engineering tracking evaluation tuning latency efficiency packaging reliability automation versioning rollback testing management ai inference integration aws gcp azure tooling support architecture planning documentation stack vertex sagemaker kubernetes quantization distillation communication docker mlflow

Work Mode

Remote

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 6 yearsLocation: Remote (India)JobType: full-timeAs the Machine Learning Operations Manager, you will oversee the end-to-end ML lifecycle — from model training and deployment to monitoring and optimization. You will lead a small, high-performing team of engineers while remaining hands-on in building scalable, reliable, and efficient ML infrastructure. This role combines strategic leadership with deep technical expertise to ensure smooth collaboration between research, engineering, and operations teams.

Requirements

Key Responsibilities:

End-to-End ML Lifecycle: Manage training infrastructure, experiment tracking, deployment, and continuous optimization.
Collaboration with Researchers: Partner with research teams to streamline training, evaluation, and fine-tuning workflows.
Team Leadership: Mentor and guide a small team of ML engineers (3-4) while contributing as an individual contributor.
Performance Optimization: Improve latency, throughput, and cost efficiency; ensure robust packaging and runtime reliability.
Automation & Reliability: Develop systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting.
Infrastructure Management: Maintain scalable, secure, and compliant AI environments across training and inference stages.
Cloud & AI Integration: Collaborate with cloud providers (AWS, GCP, Azure) and AI platforms to enhance tooling and optimize costs.
Cross-Functional Collaboration: Support GenAI and AI-driven projects across teams beyond core MLOps responsibilities.
Architecture & Roadmap: Contribute to architectural planning, documentation, and the continuous evolution of the ML stack.
Best Practices: Promote automation, MLOps standards, and operational excellence throughout the ML lifecycle.

Requirements:

5+ years of hands-on experience in MLOps or ML/AI Engineering.
Strong understanding of ML/DL concepts and applied experience in model training and deployment infrastructure.
Proficiency with cloud-native ML tools (e.g., GCP Vertex AI, AWS SageMaker, Kubernetes).
Experience working across both model training and inference systems.
Familiarity with model optimization methods such as quantization, distillation, TensorRT, or FasterTransformer.
Demonstrated ability to lead complex technical projects independently.
Excellent communication and collaboration skills with a cross-functional mindset.
Ownership-oriented approach with comfort in driving clarity in ambiguous situations.

Skills:

MLOps, ML Engineering, Machine Learning Infrastructure, Model Deployment, Model Monitoring, CI/CD, Vertex AI, AWS SageMaker, GCP AI Platform, Kubernetes, Docker, MLflow, Kubeflow.

More Jobs at Weekday AI (YC W21)

Senior Software Engineer - UI/UX

Mumbai Metropolitan Region

4 - 4 yrs

Salary: Not disclosed

Branch Manager

Mehsana, Gujarat, India

3 - 3 yrs

Salary: Not disclosed

Branch Manager

Surat, Gujarat, India

3 - 3 yrs

Salary: Not disclosed

Business Development Manager

Mumbai Metropolitan Region

3 - 3 yrs

Salary: Not disclosed

Presales and Solutions Engineer

Mumbai Metropolitan Region

2 - 2 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

Weekday AI (YC W21)

Login to

Please Verify Your Phone or Email

Confirm Action

Machine Learning Operation Manager