Hello
Job Description Senior ML Ops Engineer Dallas, TX (Onsite) Long Term Contract Requirement: 1. Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months). 2. 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, 3. Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc. 4. Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective. 5. Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in: · a. Java | library/dependency management | Package and distribution management | Algorithms · b. Python · c. Tensorflow / PyTorch 6. Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). 7. Strong understanding of containerization technologies (e.g., Docker, Kubernetes).
1. Good Team worker & good collaborations skills.
1. GCP ML Tech stack. 6. Data Analytics - figure out anomalies , skew , discrepancies |
Gopal Gupta
| E: Gopal...@Stellentit.com |