| ML Engineer | Onsite at Remote, Remote, USA |
| Email: [email protected] |
| From: Vinod Katkam, Agile enterprises Solutions [email protected] Reply to: [email protected] Tech Mahindra Client: No information Position :- ML Engineer Location :- Dallas TX or NJ (Onsite) 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 Keywords: continuous integration continuous deployment artificial intelligence machine learning New Jersey Texas |
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| Thu Dec 21 18:30:00 UTC 2023 |