Machine Learning Engineer Role

3 days ago


dindigul, India beBeeMachineLearning Full time

MLOps Developer PositionDesign, implement and maintain end-to-end machine learning pipelines (training, evaluation, deployment).Create and operate model serving platforms (APIs, workers, streaming consumers).Set up continuous integration and delivery for ML projects with proper testing, versioning, and rollback procedures.Own monitoring and observability initiatives (latency, drift, failures, business key performance indicators).Collaborate with AI, data, and product teams to productionize notebooks into robust services.Optimize cloud computing resources and performance across compute, storage, and models.This role requires a solid background in backend/DevOps/Machine Learning Operations, Python programming, and cloud computing (GCP/AWS/Azure). Experience with Docker, Kubernetes, and CI/CD tools like GitHub Actions or GitLab CI is also necessary. Familiarity with data/Machine Learning tooling such as Airflow/Prefect, MLflow/W&B, and BigQuery is a plus.Required Skills and QualificationsStrong proficiency in Python and cloud computing platforms.Experience with containerization using Docker and orchestration using Kubernetes.Familiarity with CI/CD tools and methodologies.Knowledge of data/Machine Learning tooling and libraries.Excellent problem-solving and collaboration skills.BenefitsThis role offers opportunities for growth, learning, and innovation in the field of Machine Learning Operations. You will have the chance to work on challenging projects, collaborate with talented professionals, and contribute to the development of cutting-edge technologies.OthersPlease note that this role requires a strong passion for Machine Learning and a willingness to learn and adapt to new technologies and methodologies.



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