Data Scientist (ML Infrastructure) - Syntricate Technologies Inc
San Antonio, TX
About the Job
Job Title: Data Scientist (Client Infrastructure)
Location: San Antonio, TX
Type: Contract
Competencies: Digital : Data Science, Digital : Python for Data Science
Role Description:
Desirable Skills:
Location: San Antonio, TX
Type: Contract
Competencies: Digital : Data Science, Digital : Python for Data Science
Role Description:
- Client Infrastructure Development:
- Design and develop the Client infrastructure, including data ingestion, storage, and management systems.
- Implement and maintain version control systems for Client models and datasets.
- Develop and deploy automated Client workflows using tools such as TensorFlow, PyTorch, or Scikit-learn.
- Model Deployment:
- Collaborate with data scientists to develop and deploy Client 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.
- Data Management:
- Develop and maintain data ingestion, storage, and management systems for Client workflows.
- Ensure the quality and integrity of data used in Client models by implementing data validation and cleaning processes.
- Implement data security measures to protect sensitive data.
- Monitoring and Optimization:
- Develop and maintain monitoring and logging systems for Client workflows.
- Identify potential issues with deployed Client models and work with data scientists to resolve them.
- Implement optimization techniques to improve the performance of Client models in production.
- Collaboration and Communication:
- Work closely with cross-functional teams, including data scientists, software engineers, and DevOps engineers.
- Develop and maintain documentation for Client infrastructure and workflows.
- Present findings and recommendations to stakeholders through clear and effective communication.
Desirable Skills:
- 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
Source : Syntricate Technologies Inc
