| ML Data Infrastructure Engineer || Sunnyvale CA hybrid || Term 12 Months at Sunnyvale, California, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2250240&uid= From: rohit yadav, Cloud Think Technologies [email protected] Reply to: [email protected] Hi, This is Rohit Yadav, Senior Technical Recruiter from Cloud think tech Inc. I have urgent requirement for the position mentioned below. Please let me know if you are interested regarding this position. Reply me with your confirmation, waiting for your positive reply. Job: ML Data Infrastructure Engineer Location: Sunnyvale, CA hybrid Term: 12+ Months Visa : All Visa Linked in must Job Description: | | Candidates should have strong experience in Deep Leaning ML frameworks and model serving technologies. Please get strong ML Serving/ infrastructure data scientist experience: JD: 7+ years of software engineering experience, with 3+ years in ML serving/infrastructure Strong expertise in container orchestration (Kubernetes) and cloud platforms Experience with model serving technologies (TensorFlow Serving, Triton, KServe) Deep knowledge of distributed systems and microservices architecture Proficiency in Python and experience with high-performance serving Strong background in monitoring and observability tools Experience with CI/CD pipelines and GitOps workflows Key Responsibilities: Design and implement scalable data processing pipelines for ML training and validation Build and maintain feature stores with support for both batch and real-time features Develop data quality monitoring, validation, and testing frameworks Create systems for dataset versioning, lineage tracking, and reproducibility Implement automated data documentation and discovery tools Design efficient data storage and access patterns for ML workloads Partner with data scientists to optimize data preparation workflows Technical Requirements: 7+ years of software engineering experience, with 3+ years in data infrastructure Strong expertise in GCP's data and ML infrastructure: BigQuery for data warehousing Dataflow for data processing Cloud Storage for data lakes Vertex AI Feature Store Cloud Composer (managed Airflow) Dataproc for Spark workloads Deep expertise in data processing frameworks (Spark, Beam, Flink) Experience with feature stores (Feast, Tecton) and data versioning tools Proficiency in Python and SQL Experience with data quality and testing frameworks Knowledge of data pipeline orchestration (Airflow, Dagster) Nice to Have: Experience with streaming systems (Kafka, Kinesis) Experience with GCP-specific security and IAM best practices Knowledge of Cloud Logging and Cloud Monitoring for data pipelines Familiarity with Cloud Build and Cloud Deploy for CI/CD Experience with streaming systems (Pub/Sub, Dataflow) Knowledge of ML metadata management systems Familiarity with data governance and security requirements Experience with dbt or similar data transformation tools Thanks, and Regards Rohit Yadav Cloud Think Technologies : [email protected] Keywords: continuous integration continuous deployment artificial intelligence machine learning California ML Data Infrastructure Engineer || Sunnyvale CA hybrid || Term 12 Months [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2250240&uid= |
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| 09:12 PM 12-Mar-25 |