| AI / ML Data scientists ,Irving, TX or Tampa ,FL( Local only with telecom domain) at Irving, Texas, USA |
| Email: [email protected] |
| Hi , Title: AI / ML Data scientists Location : ,Irving, TX or Tampa ,FL( Local only) Hybris 3 days in office Mandatory :Artificial Intelligence and Machine Leaning Role and Responsibility. : Programming in Python using distributed frameworks like PySpark, Pandas, SkLearn, Keras Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc. and their real-world advantages/drawbacks Rigorous understanding of statistics and ability to discern appropriate statistical techniques to problem-solve Knowledge of NLP, supervised, unsupervised, semi-supervised, Deep learning. Experience on working with GCP (DataProc, Dataflow, Vertex AI) Experience with Data Warehouse concepts and Data Management life cycle. Experience in GCP cloud platform - (Big Query/Cloud Composer/Data Proc(or Hadoop & Spark)/Cloud Function). Experience in Python. Experience in troubleshooting the data issues. Experience in writing complex SQL and performance tuning Deploy the ML models developed by data scientists in the production systems using GCP, Big Query, and Airflow (on prem experience also works) Collaborate with data scientists to seamlessly integrate model code (Python, PySpark, Spark) into the MLOps workflow. Resource and code Optimization of the ML model prediction scoring pipelines in GCP ecosystem so that the models run within the defined SLA Debug the ML model scoring failures for code and resource issues Orchestrate the model scoring pipelines using Cloud Composer Deploy Auto-ML solutions in the production systems Implement modernization practices such as observability and explain ability for enhanced model monitoring and interpretability. Utilize Jenkins and GitLab for effective code management and version control -- Keywords: artificial intelligence machine learning information technology Florida Texas AI / ML Data scientists ,Irving, TX or Tampa ,FL( Local only with telecom domain) [email protected] |
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| Fri Mar 29 22:28:00 UTC 2024 |