PythonData ScienceData EngineeringMLOPSFastAPIPandasTensorFlowxgBoostPySparkBig QueryCI/CDML FrameworksGoogle Cloud Eco System
Work Authorization
US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Employment Type
Consulting/Contract
education qualification
UG :- - Not Required
PG :- - Not Required
Other Information
No of position :- ( 1 )
Post :- 22nd Dec 2023
JOB DETAIL
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 & Google Cloud Platform 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 Google Cloud Platform cloud