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Requirement for the Position :- Machine Learning Engineer at Dallas, Texas, USA
Email: [email protected]
Position :- 
Machine Learning  Engineer

Location :- Dallas TX or NJ -ONLY LOCALS 

Salary: $75/HR 

ONLY 14+ YEARS OF EXP REQUIRED 

           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,

Akhil Reddy 

Talent Acquisition 

Desk: 925-399-8517 

Direct-864-362-4499 

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Keywords: continuous integration continuous deployment machine learning information technology New Jersey Texas
[email protected]
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Mon Nov 20 22:07:00 UTC 2023

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Location: Dallas, Texas