Job Title: MLOps Engineer (Remote)

Location: Remote

Experience Required: 4+ years.

About the Role:

We are seeking a highly skilled and experienced MLOpsEngineer to join our dynamic team. In this remote position, you will play acrucial role in enhancing our machine learning operations, ensuring theseamless deployment, monitoring, and maintenance of ML models in productionenvironments. If you are passionate about combining the art of machine learningwith the discipline of robust operational practices, we would love to hear fromyou.

Responsibilities:

·         3+ years of experience in Data Science andMinimum 2 years of experience in MLOps.

·        Experience in Data science projects and Modeldeployment.

·        Designing and architecting end-to-end MLsolutions.

·        Experience with scripting and coding usingPython, Pyspark and Shell Script, SQL (Not Mandatory).

·        Working experience with DevOps, Docker, andKubernetes.

·        Experience with concepts and technologies usedin CI/CD build, deployment pipelines, and tools (GitHub/Jenkins any other).

·        Creating pipelines that automate the process ofbuilding, training, and deploying ML models.

·        Experience with Monitoring and troubleshootingML models.

·        Experience with cloud platforms such asAzure/AWS/GCP.

·        Experience with REST API Services, Fast API, and Flask.

·        Knowledge of VPC and Networking will begood but not mandatory.

Working at GAVS:

You'll be joining a team that values innovation,collaboration, and a commitment to quality. We offer a flexible and supportivework environment with opportunities for professional growth and development. Asa remote MLOps Engineer, you will enjoy the flexibility of working fromanywhere, coupled with a supportive and engaging virtual team experience.