| Data Scientist at Irving, Texas, USA |
| Email: [email protected] |
| From: Vinni, Indus AiLabs [email protected] Reply to: [email protected] Hello, Hope you are doing well Please find the below requirement and revert with suitable profile. Job Title: Senior Data Scientist Location: Irving, TX -- Hybrid (2-3 Days onsite) Exp: 12+Years Duration: Long Term Required Qualifications: Good experience deploying models in Production. Another with PyTorch/Torch Lighting knowledge to help us build/edit models. Ex-Telecom Projects Plus Deploying experience is must Work with a focus on MLOps Here is the Detailed job description Data Scientist: Independently create and/or Assist lead data scientists in developing various kinds of machine learning models for personalized customer service domain using state of the art ML algorithms such as GBM, XGBoost, Deep Learning etc. on CPU and GPU environments Conduct pre-modeling activities such as data clean up, exploratory data analysis, scaling/normalization, feature engineering, etc. with data in Google Cloud Platform ecosystem, notebooks Proficient with standard Data Science Libraries such as NumPy, Pandas and Deep learning. In addition, proficiency in libraries for GPUs is a huge plus Knowledge of Pytorch or Tensorflow and experience with modern neural NLP approaches is a plus. Developing test cases and executing test cases for developed ML models Assist in performance/load testing/monitoring of the deployed models Documenting the models, features and any decisions made during modeling Assist ML engineers during solution deployment on on-prem and AWS for authoring/making changes to API wrappers Ability to rapidly learn the current state of the project and independently work with minimal assistance after the initial ramp up time ML Engineer: Bachelors degree. Four or more years of work experience in software development/ML Engineering jobs. At least two years of experience are in ML Engineering areas. Experience with Python/Java programming Experience in cloud based development and production environments - AWS, GCP and On-prem clusters Familiarity with large scale cloud-based platform/pipeline development and productization. Have experience with basic ML practices and standard workflows. Even better if you have one or more of the following: Understand basic data science concepts and common needs from data scientists. Strong collaboration skills and communication skills, especially when involving (non-tech) business stakeholders. Experience with cloud infrastructures/cloud Ops Familiar with CI/CD process and common frameworks. Familiar with MLOps/DevOps. Thanks & Regards, Vinni |Technical Recruiter Indus AiLabs Phoenix, AZ, USA 85004 Email: [email protected] Website: www.indusailabs.com Keywords: continuous integration continuous deployment machine learning Arizona Texas |
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| Thu Jan 11 00:28:00 UTC 2024 |