| Data Scientist ll Austin, TX ll Onsite at Austin, Texas, USA |
| Email: [email protected] |
| From: Sona Chhabra, SMART IT FRAME [email protected] Reply to: [email protected] Hi, I tried reaching you for below role. Please find the detailed job description and let me know your interest. Job Title- Data Scientist Location- Austin, TX Duration- 12+ Months Experience 8 10 Years Job Description: 1. ML Infrastructure Development: Design and develop the ML infrastructure, including data ingestion, storage, and management systems. Implement and maintain version control systems for ML models and datasets. Develop and deploy automated ML workflows using tools such as TensorFlow, PyTorch, or Scikit-learn. 2. Model Deployment: Collaborate with data scientists to develop and deploy ML models into production environments. Ensure the smooth operation of deployed models by monitoring performance and identifying potential issues. Implement model serving infrastructure using tools such as TensorFlow Serving or Hugging Face Transformers. 3. Data Management: Develop and maintain data ingestion, storage, and management systems for ML workflows. Ensure the quality and integrity of data used in ML models by implementing data validation and cleaning processes. Implement data security measures to protect sensitive data. 4. Monitoring and Optimization: Develop and maintain monitoring and logging systems for ML workflows. Identify potential issues with deployed ML models and work with data scientists to resolve them. Implement optimization techniques to improve the performance of ML models in production. 5. Collaboration and Communication: Work closely with cross-functional teams, including data scientists, software engineers, and DevOps engineers. Develop and maintain documentation for ML infrastructure and workflows. Present findings and recommendations to stakeholders through clear and effective communication. Programming: Python, R Programing, Power BI, MySQL Server, Tableau, MS Excel Tools : NumPy, Pandas, Sklearn, Seaborn, Matplotlib, PyTorch, Statsmodels, NLTK Techniques : Time Series Analysis, Linear Regression, Random Forest, Decision Tree, Descriptive Statistics, Exploratory Data Analysis (EDA), Data Preprocessing, Statistical Analysis, Machine Learning, Deep Learning. Soft Skills : Problem Solver, Self-learner, Communication, Adaptability, Creativity, Time Management, Presentation Skills, Conflict Resolution, Stress Management Keywords: machine learning business intelligence rlang information technology microsoft Texas Data Scientist ll Austin, TX ll Onsite [email protected] |
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| Thu Apr 18 01:12:00 UTC 2024 |