Posted:1 week ago|
Platform:
On-site
Full Time
We are looking to onboard a candidate who can support our team in conducting in-depth code reviews for AI/ML models developed using open-source frameworks. The candidate should work closely with our team, reviewing their code regularly, improving code quality, and advising on best practices for model development and deployment.
We need an onsite candidate in Hyderabad with the following skills:
Strong proficiency in Python
Expertise in Machine Learning and Deep Learning
Hands-on experience with TensorFlow, PyTorch, and other open-source Al libraries
Familiarity with model explainability, fairness, and bias detection
Experience in reviewing and optimizing model pipelines and training loops
Solid understanding of MLOps practices, including CI/CD for ML
Exposure to distributed model training and GPU including CI/CD for ML
Exposure to distributed model training and GPU optimization
Experience with unit testing and performance profiling for Al models
Knowledge of model versioning, reproducibility, and experiment tracking (e.g., using MLflow, Weights & Biases)
Familiarity with data validation, feature engineering pipelines, and data drift detection
Ability to suggest improvements on architecture, modularization, and documentation of code
The ideal candidate would have a proven track record of working on production-grade Al systems and would be capable of mentoring our team to elevate our engineering standards.
Alvyl Consulting
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