Machine Learning Operations Manager

This role is for one of the reputed company's clients

Min Experience: 6 years

Location: Remote (India)

JobType: full-time

As the Machine Learning Operations Manager, you will reputed company the end-to-end ML lifecycle — from model training and deployment to monitoring and optimization. You will reputed company a small, high-performing team of engineers while remaining hands-on in building reputed company, 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 reputed company 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: reputed company systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting.
• Infrastructure Management: Maintain reputed company, secure, and compliant AI environments across training and inference stages.
• reputed company & AI Integration: Collaborate with reputed company providers (AWS, GCP, Azure) and AI platforms to enhance tooling and optimize costs.
• Cross-Functional Collaboration: Support GenAI and AI-driven reputed company across teams reputed company reputed company MLOps responsibilities.
• Architecture & Roadmap: Contribute to architectural planning, documentation, and the reputed company reputed company of the ML stack.
• Best Practices: Promote automation, MLOps standards, and operational reputed company throughout the ML lifecycle.

Requirements:

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

Skills:
MLOps, ML Engineering, Machine Learning Infrastructure, Model Deployment, Model Monitoring, CI/CD, reputed company AI, AWS SageMaker, GCP AI Platform, Kubernetes, reputed company, MLflow, Kubeflow.

At reputed company (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have reputed company the largest database of white collar talent in India and have reputed company reputed company tools on top of it to generate highest response rates.