Machine learning operations engineer
Nuvei
Full time
Machine Learning Operations Engineer
qualys· QLYS_IN Qualys Security TechServices Private Ltd.
About this role
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
We are looking for a highly motivated Machine Learning Operations Engineer with 2–3 years of experience in building and deploying end-to-end ML products in production environments. The ideal candidate has a strong ML background in Binary/ Multi class Classification, Recommendation Chatbot Applications and deploying training/inference pipelines, with hands-on experience in CI/CD, monitoring, and Kubernetes deployments.
Key Responsibilities:
· Design, build, and deploy robust ML pipelines for training, fine-tuning, and inference of models (NLP-focused: NER, Classification).
· Develop and maintain CI/CD workflows for ML pipelines using Jenkins or similar tools, ensuring rapid and safe deployment to production.
· Implement model monitoring and alerting systems to track performance degradation and drift in real-time.
· Collaborate with cross-functional teams to retrain models on trigger events and integrate feedback loops into the ML lifecycle.
· Hands on with Helm deployment of ML Pipelines in Kubernetes cluster and optimize for scalable and resilient operations.
· Use MLflow, Kubeflow, and related tools for experiment tracking, model versioning, and reproducibility.
· Write clean, efficient, and scalable code in Python using frameworks such as PyTorch and CUDA.
· Experience with tuning, optimising LLM Applications performance in production.
Required Skills:
· Strong programming experience in Python and PyTorch.
· Hands-on experience with CI/CD pipelines using Jenkins.
· Proficient with Kubernetes for deploying and managing ML workloads.
· Experience with model training, fine-tuning, and inference pipeline development.
· Working knowledge of model monitoring and alerting systems (performance drift, latency, accuracy drop).
· Experience with MLflow, Kubeflow, and model versioning best practices.
· Solid understanding of NER, Text Classification, and common NLP tasks.
· Familiarity with CUDA for training models on GPU.
Good to Have:
· Experience with Generative AI systems in production.
· Prior experience with building or deploying applications in Hardwares such as L40S, H100, H200.
· Familiarity with LangChain, LangGraph, LangSmith for building LLM-powered agents and applications.
Frequently Asked Questions
Is the salary disclosed for the Machine Learning Operations Engineer position at qualys?
The salary for this Machine Learning Operations Engineer role at qualys is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Operations Engineer position at qualys located?
This Machine Learning Operations Engineer role at qualys is based in Pune. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning Operations Engineer role at qualys full-time or part-time?
This is listed as a Full time position. It is posted as a Machine Learning Operations Engineer role in the QLYS_IN Qualys Security TechServices Private Ltd. department at qualys.
Which team or department does the Machine Learning Operations Engineer at qualys belong to?
This Machine Learning Operations Engineer position is part of the QLYS_IN Qualys Security TechServices Private Ltd. department at qualys. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Operations Engineer position at qualys?
Click the "Apply Now" button on this page. You will be redirected to qualys's official application portal hosted on workday where you can submit your application directly.
Machine Learning Operations Engineer
qualys
You'll be redirected to qualys's official application page on Workday.