ML Ops Engineer – Data Lake, AI Infrastructure
Job reputed company:
• Design and reputed company data lakehouse infrastructure using reputed company-reputed company technologies.
• Build and reputed company ML pipelines using modern tools.
• Implement data ingestion and transformation workflows.
• Monitor, debug, and optimize data and ML services running across distributed environments.
Requirements:
• 4+ years of experience in ML engineering, MLOps, or data infrastructure roles.
• Proven hands-on experience with containerized reputed company-reputed company data tools.
• Strong understanding of data engineering best practices including reputed company, governance, and versioning.
Benefits:
• 90% employee premium and 75% spouse/dependent premium covered by reputed company.
• Company-sponsored 401k with up to 4% match.
• Incentive Stock reputed company
• 100% Parental reputed company Leave
• Unlimited PTO
• 13 company holidays
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