Building Scalable Machine Learning Pipelines

5 days ago


davangere, India beBeeMachineLearning Full time

Job Title: Machine Learning Pipeline DeveloperWe are seeking an experienced professional to design and maintain end-to-end machine learning pipelines. The ideal candidate will have a strong background in backend development, DevOps, and machine learning operations.Main Responsibilities:Design and implement robust machine learning pipelines for model training, evaluation, and deployment.Develop and operate high-performance APIs for model serving.Establish efficient CI/CD processes with proper testing, versioning, and rollback mechanisms.Monitor and analyze key performance indicators (KPIs) for latency, drift, failures, and business outcomes.Collaborate with cross-functional teams to productionize notebooks into scalable services.Optimize cloud resources to minimize costs and maximize efficiency.Required Skills:Mandatory Qualifications:At least 3 years of experience in backend development, DevOps, or ML Ops.Strong proficiency in Python programming language.Familiarity with cloud platforms (GCP, AWS, Azure).Hands-on experience with Docker, Kubernetes, or Cloud Run.Knowledge of CI/CD tools (GitHub Actions, GitLab CI).Familiarity with data science and machine learning tooling (Airflow, Prefect, MLflow, BigQuery).Nice to Have:Experience with large language models (LLMs), AI APIs (OpenAI, Vertex, Bedrock), and vector databases.



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