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Machine Learning Engineer --- Dallas TX OR New Jersey(onsite) ---- Long Term at Dallas, Texas, USA
Email: [email protected]
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

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Keywords: continuous integration continuous deployment machine learning information technology New Jersey Texas
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Wed Nov 01 21:43:00 UTC 2023

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