Senior ML Ops Engineer - Dallas

• Greetings Everyone
• Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months).
• Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle:
• a. Evaluation Techniques.
• b. Machine Learning Algorithms.
• c. Statistical Modeling.
• d. End to end deployment.
• e. Metric generation.
• f. Model monitoring and deployment.
• g. Prompt Engineering,
• Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc.
• Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective.
• Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in:
• i. library/dependency management
• ii. Package and distribution management
• iii. Algorithms
• c. Tensorflow / PyTorch
• Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).
• Strong understanding of containerization technologies (e.g., Docker, Kubernetes).
• Good Team worker & good collaborations skills.
• Ability to abstract out details, define problem & have clear technical communication.
• Ability to lead inter team communication.
• Ability to write crisp and effective documentation.
• Ensures that deadlines are met.

None flagged.