18 Data Scientist (ML Infrastructure) Jobs in San Antonio, TX
Syntricate Technologies is Hiring a Data Scientist (ML Infrastructure) Near San Antonio, TX
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.
- 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
Job Summary
Full Time
$103k-127k (estimate)
06/20/2024
07/06/2024
syntricatetechnologies.com
Boston, MA
Related Companies
The following is the career advancement route for Data Scientist (ML Infrastructure) positions, which can be used as a reference in future career path planning. As a Data Scientist (ML Infrastructure), it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist (ML Infrastructure). You can explore the career advancement for a Data Scientist (ML Infrastructure) below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.
