Job Description
Job Description
MLOps Engineer
Job Overview:
We are seeking a highly skilled and experienced MLOps Engineer to join our construction client's team in New York City. In this role, you will be responsible for developing and maintaining the infrastructure and processes for deploying, monitoring, and managing machine learning models in production.
Key Responsibilities
- Design, develop, and maintain the infrastructure for deploying and managing machine learning models in production.
- Collaborate with data scientists and software engineers to ensure the production readiness of machine learning models.
- Integrate ML workflows seamlessly with CI/CD pipelines for efficient model building, testing, and deployment.
- Implement comprehensive experiment tracking (using tools such as MLflow or Weights & Biases) and observability systems (such as Arize or Evidently).
- Work closely with DevOps engineers to ensure the scalability, security, and reliability of the machine learning infrastructure.
- Stay updated on the latest trends and advancements in MLOps and implement best practices within the organization.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Minimum of 5 years of experience in MLOps, with at least 3 years focused on scalable AI/ML deployments.
- Strong proficiency in cloud infrastructure (preferably AWS), container technologies (Docker, Kubernetes), and modern MLOps frameworks.
- Extensive experience managing GPU and CPU resources for specialized AI workloads (such as Computer Vision, NLP, or LLM fine-tuning).
- Practical experience with data quality and performance monitoring in production ML environments.
Benefits
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technologies and innovative projects.
- Collaborative and inclusive work culture.
- Professional development and growth opportunities.
If you are passionate about MLOps and want to be part of a dynamic and growing organization, we would love to hear from you. Apply now!