Machine Learning Manager - Design Cost Analytics
Tasks
- Apply MLOps risk assessment and validation
- Architect scalable data science solutions
- Collaborate with cross-functional stakeholders
- Communicate data driven recommendations to management
- Deploy and monitor machine learning models
- Develop and integrate generative AI models into workflows
- Develop machine learning pipelines and model training infrastructure
- Drive innovation strategy for analytics and AI ML
- Implement genai solutions
- Integrate data pipelines with data quality
- Lead and develop product team
- Lead code reviews and design discussions
- Provide technical guidance and mentorship
- Research and evaluate new algorithms and tools
- Translate business requirements into analytics problem formulations
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Anomaly Detection | Apache Spark | CI/CD | Cloud platform | Computer Vision | Deep learning | DevOps | Diffusion Models | Econometrics | Google Cloud | Google Cloud Platform | Hive | Jira | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | Optimization | PyTorch | Python | R | SQL | Scikit-learn | Simulation | Statistical modeling | Supervised Learning | Survival analysis | TensorFlow | Testing | Unsupervised Learning | XGBoost
Education
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