Machine Learning Infrastructure Engineer
hace 6 días
Company Overview
Quantexa is a pioneering company that has revolutionized the field of data-driven intelligence. Founded in 2016 by a small team, we have grown to become a global leader with over 700 employees across 47 nationalities.
About Us
We're a company that thrives on innovation and discovery. Our Analytics teams work tirelessly to build, deploy, and maintain AI models that underpin our platform. Our MLOps team plays a crucial role in automating and maximizing efficiency in model deployment and maintenance.
Job Description
We're seeking an experienced Machine Learning Infrastructure Engineer to join our overseas team. As an MLOps Engineer, you will be responsible for developing and maintaining infrastructure and automation pipelines that support machine learning models. Your focus will be on ensuring smooth deployment of models into production environments.
Key Responsibilities
- Collaborate with data scientists to deploy machine learning models efficiently.
- Automate model deployment using CI/CD pipelines and container orchestration tools like Kubernetes and Docker.
- Ensure proper model versioning, governance, and compliance using tools like MLFlow, Kubeflow, or DVC.
- Built and maintain data and model pipelines for training, validation, deployment, and monitoring.
- Develop automated processes for data validation, feature engineering, and model training.
- Integrate pipelines with distributed data processing frameworks (e.g., Spark, Kafka) to ensure efficient data handling.
- Set up monitoring systems to track model performance and detect issues like model drift.
Requirements
- Strong background in machine learning, software engineering, and cloud computing.
- Experience with containerization tools like Docker and Kubernetes.
- Knowledge of CI/CD pipelines and automation tools like Jenkins.
- Familiarity with model serving platforms and API design.
What We Offer
- An estimated salary range of $120,000 - $180,000 per year.
- A dynamic and innovative work environment with opportunities for growth and development.
- A diverse and inclusive team with over 20 languages spoken across 47 nationalities.
- 41% of our colleagues come from ethnic or religious minority backgrounds.
How to Apply
Please submit your application with a cover letter and resume to accelerate your career as an MLOps Engineer at Quantexa.
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