| Machine Learning Engineer --- Dallas TX OR New Jersey(onsite) ---- Long Term at Dallas, Texas, USA |
| Email: [email protected] |
| Rate Visit pp number Ravi Cloud Infra IT Solutions, Inc. 12300 Ford Rd Suite B332, Farmers Branch , TX 75234. [email protected] M: +1 210 399 3336 Website: www.cloudinfraitsolutions.com/ On Wed, Nov 1, 2023, 9:43 PM David R <[email protected]> wrote: Hi Hope you are doing good PFA the resumes. Let me know if these profiles are suitable for your requirement. DAVID Direct: 469-421-5577 [email protected] www.linkedin.com/in/ prasanth-keerthi-45694b174 IQHector Technologies LLC. 3400 Silverstone Dr Suite 116, Plano, Tx- 75023. On Wed, Nov 1, 2023 at 12:12PM AKHIL REDDY <[email protected]> wrote: Position :- ML Engineer Location :- Dallas TX or NJ (Onsite) Duration: Contract At least 7 years of experience as a ML Engineer, with fluency and experience in Python, Data Science, Data Engineering & MLOPS Knowledge in RESTful API design and implementation Experience of Web framework like FastAPI/Tornado/Flask etc. Data Science knowledge and familiarity with ML libraries such as Pandas, Scikit, TensorFlow, xgboost, time series frameworks like prophet/or equivalent frameworks In-depth of big data frameworks like Pyspark & gcp tools like data proc, data proc serverless Experience designing, building and operating productions grade ML applications Knowledge of design patterns and architecture, data science, and machine learning best practices Experience with relational databases like Big Query, cloud environments, and a good understanding of optimizing storage cost/query cost while designing data engineering workflows Good knowledge of Kubernetes, container technologies, docker registries, and applying them in the context of machine learning systems Working knowledge of ML frameworks, such as Vertex, Kubeflow, MLflow, CloudRun etc. Experience in designing post-deployment model management framework e.g. model monitoring tools, workflows for feature drift, error analysis of models Proficiency with CI/CD tools, especially Jenkins Experience in designing CI/CD pipelines (Jenkins) for deployment of Data Engineering and ML jobs workflow Hands-on experience in orchestration frameworks like Airflow, Cloud Composer, DataProc Serverless for Pyspark jobs etc. In-depth understanding of Google Cloud ecosystem for Data Engineering & MLOps - cloud composer, dataproc, dataproc serverless, big query, cloudrun, vertex, vertex pipelines, GKE Experience in designing MLOps platforms and architect big data systems on GCP cloud Thanks & Regards, Tharun Kumar Mandala Talent Acquisition Executive [email protected] +1 925-892-2024 -- -- -- Keywords: continuous integration continuous deployment machine learning rlang information technology New Jersey Texas |
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| Wed Nov 01 21:48:00 UTC 2023 |