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ML Engineer --- Dallas TX or NJ (Onsite) --- LongTerm at Dallas, Texas, USA
Email: [email protected]
Position :- ML Engineer

Location :- Dallas TX or NJ (Onsite)

Duration : Long Term 

Job Description

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 Server less 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
[email protected]
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Mon Nov 20 20:59:00 UTC 2023

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