| Please share local candidates-AI ML Data scientists Irving TX Tampa FL(onsite)-Job Description at Irving, Texas, USA |
| Email: [email protected] |
| From: PALLAVI, YOCHANA [email protected] Reply to: [email protected] Hello, Im a Technical Recruiter with Yochana Solutions Inc., a national IT staffing solutions provider with 14+ years of experience delivering value to leading companies across the U.S.A. and Canada, I'm currently staffing for AI/ML Data scientists Irving, TX or Tampa ,FL(onsite), Below you will find the job description, if you are qualified and interested, please send me your Updated Word Document Resume. I'm very sorry if this position is not an ideal fit, We'll keep you in mind for other suitable positions and referrals would be appreciated. Thank you so much for your attention and participation. Job Role: AI/ML Data scientists Job Location: Irving, TX or Tampa ,FL(onsite) Project Duration: 6-12 months Job Description: Mandatory Skills : Artificial Intelligence and Machine Leaning 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 Regards, Pallavi Boola RESOURCE SPECIALIST Contact- 2482373189 Yochana IT Solutions Inc. 23000 Commerce Dr, Farmington hills, MI-48335 [email protected] || www.yochana.com Keywords: artificial intelligence machine learning information technology Florida Michigan Texas Please share local candidates-AI ML Data scientists Irving TX Tampa FL(onsite)-Job Description [email protected] |
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| Mon Apr 01 20:14:00 UTC 2024 |