Data EngineerWe are seeking a highly skilled MLOps Engineer / Python Developer with strong experience in building and maintaining scalable data and machine learning pipelines. The ideal candidate will have hands-on expertise in Python, AWS, Kubernetes, and ML workflow tools (Kubeflow) along with solid experience in data processing frameworks like Spark and Pandas.Required Skills & QualificationsStrong programming experience in PythonHands-on experience with AWS (or similar cloud platforms)Expertise in Kubernetes and Kubeflow (or similar orchestration/workflow tools)Experience with Spark, Pandas, NumPy for data processingMust have previous client experience working for this customer in the past 5 yearsPreferred Skills & QualificationsSolid understanding of MLOps, ML lifecycle, and feature engineeringFamiliarity with CI/CD tools (Jenkins or similar)Experience in debugging, performance tuning, and vulnerability remediationDay-to-Day ResponsibilitiesDevelop, maintain, and optimize data and model-serving pipelines using Kubeflow and SparkImplement feature engineering workflows for machine learning modelsDeploy, test, and monitor ML applications in cloud environmentsCollaborate with Data Scientists and cross-functional teams to productionize modelsIdentify and fix bugs, vulnerabilities, and performance issuesHandle feature requests and enhancements for existing systemsSupport and manage CI/CD pipelines and DevOps processesEnsure system scalability, reliability, and security complianceCompany Benefits & CultureComprehensive health, dental, and vision insurance401(k) with company matchOpportunities for professional development and growth