| ML Data Infrastructure Engineer/ Data scientist :: Location : Sunnyvale, CA (Hybrid) at Sunnyvale, California, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2259942&uid= Need Local to california only Role: ML Data Infrastructure Engineer/ Data scientist Location : Sunnyvale, CA (Hybrid) Position type : Contract Project Duration : Long Term Visa : & only Detailed 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 P'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 P-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 Looking forward to work with you! Thanks & Regards Lokesh Yadav Sr. Technical Recruiter CloudThink Tech Inc E: [email protected] Website: https://cloudthinktech.com/ LinkedIn: https://www.linkedin.com/in/lokesh-yadav-35941b223/ Address: 10301 Northwest FWY STE 314, Houston TX, 77092 An E-Verify Company !! Please consider the environment before printing this e-mail. DISCLAIMER The information in this e-mail is confidential and may be legally privileged. It is intended solely for the addressee. Access to this e-mail by anyone else is unauthorized. If you have received this communication in error, please notify the sender and delete the e-mail and destroy any copies of it. If you are not the intended recipient, any disclosure, copying, distribution or any action taken or omitted to be taken in reliance on it, is prohibited and may be unlawful. Any opinions or advice contained in this e-mail are subject to the terms and conditions expressed in the governing Cloud Think Technologies client engagement letter. Opinions, conclusions and other information in this e-mail and any attachments that do not relate to the official business of the firm are neither given nor endorsed by it. Cloud Think Technologies cannot guarantee that e-mail communications are secure or error-free, as information could be intercepted, corrupted, amended, lost, destroyed, -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology card California Texas ML Data Infrastructure Engineer/ Data scientist :: Location : Sunnyvale, CA (Hybrid) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2259942&uid= |
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| 08:24 PM 17-Mar-25 |