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ML Data Engineer || Dallas TX or NJ (On Site) at Dallas, Texas, USA
Email: [email protected]
Role: 
ML Data
Engineer

Location: Dallas TX or NJ (
On Site
)

Duration:
12+ Months

Interview: Video

Job Description:

            
 10 years of experience

Key Skills :- ML/AI, Pyspark and Mlops

Good to have :- GCP

              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

Arun
Solanki
|
 Sr.Recruiter 
|

cyberThink

|
(
 908.988.2600
|

*

[email protected]

|

Leader in Staffing and IT
Services since 1996

--

Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology New Jersey Texas
[email protected]
View all
Tue Dec 26 20:42:00 UTC 2023

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Location: Dallas, Texas