MET scientist
Pune, MAHĀRĀSHTRA, India
INR 2000K-4000K (estimate) Entry-level Full Time
Tasks
- Build analytics backlogs and delivery plans
- Collaborate on ETL pipelines data quality and ML infrastructure
- Communicate model performance metrics and results
- Conduct proofs of concept to assess technical feasibility and ROI
- Deploy production machine learning models
- Develop dashboards APIs and visualization tools
- Develop machine learning models for manufacturing use cases
- Implement MLOps model monitoring versioning and retraining
- Integrate AI solutions with analytics platforms
- Provide AI ML technical consulting to stakeholders
- Support Seeq deployment optimization
- Translate business requirements into data models and architectures
Perks/Benefits
- Bonus system
- Canteen
- Family-friendly initiatives
- Fitness room
- Learning and training
- Onsite doctor
- Pension plan
Skills/Tech-stack
APIs | AWS | Artificial Intelligence | Azure | CI/CD | Cloud Computing | Cloud platform | Computer Vision | Dashboards | Data Governance | Data Quality | Deep learning | DevOps | Diagnostic Analytics | Distributed Computing | ETL | Git | Google Cloud | Google Cloud Platform | Language Processing | MLOps | Machine Learning | Model Monitoring | Model retraining | Natural Language | Natural Language Processing | Predictive Analytics | Prescriptive Analytics | PyTorch | Python | R | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
N/A
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