Title : ML Engineers Location: San Antonio, TX Job Type: Full time

Job Description:
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.

1. 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.

1. 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.

1. 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.

1. 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.

Thanks & regards

Ramandeep Kumar