MLOps Engineer

This role focuses on building and maintaining the infrastructure and pipelines necessary to reliably deploy and monitor machine learning models. The MLOps Engineer will work closely with data scientists and software engineers to ensure that models are scalable, efficient, and meet business requirements.

Key Responsibilities:

Develop and maintain MLOps pipelines for model training, deployment, and monitoring.
Automate model deployment processes and ensure scalability.
Implement robust monitoring and alerting systems for model performance.
Collaborate with data scientists to optimize model performance and efficiency.
Manage and maintain infrastructure supporting machine learning workloads.
Ensure data quality and integrity throughout the ML lifecycle.

Requirements/Qualifications:

Experience with machine learning model deployment and monitoring.
Proficiency in cloud platforms (e.g., AWS, Azure, GCP).
Experience with containerization technologies (e.g., Docker, Kubernetes).
Strong programming skills in Python.
Familiarity with DevOps principles and practices.
Experience with CI/CD pipelines.
Understanding of machine learning algorithms and techniques.

About the Company: Adecco India is a global leader in workforce solutions, connecting talent with opportunities across various industries. They provide a range of services, including staffing, recruitment, and outsourcing, helping organizations achieve their business goals.