Tech Lead AI/ML Engineer
Tasks
- Architect ML pipelines training infrastructure and model evaluation frameworks
- Collaborate with cross functional teams to align AI ML solutions with business goals
- Design and implement novel ML and AI approaches
- Document work and communicate findings to technical and non technical stakeholders
- Ensure data governance privacy and security for ML data
- Guide ML engineering decisions for model selection feature engineering and optimization
- Lead ML research experimentation and development from concept to deployment
- Mentor ML engineers and establish ML best practices
- Translate academic insights into production ML systems
Perks/Benefits
Skills/Tech-stack
Code review | Data Governance | Deep learning | Distributed Training | Experiment tracking | Feature Engineering | Hugging Face | Language Processing | ML pipelines | MLOps | Machine Learning | Model Evaluation | Model versioning | Natural Language | Natural Language Processing | Optimization | Privacy | PyTorch | Python | Reproducible Research | Scikit-learn | Security | Statistical modeling | TensorFlow | Testing | Version control
Education
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