AI/ML Developer (Data Scientist)
Tasks
- Build reusable machine learning assets frameworks pipelines
- Build scalable AI solutions for enterprise workflows
- Collaborate on data pipelines and data quality
- Contribute to AI standards best practices and data governance
- Create analytics for quality predictive maintenance supply chain and forecasting
- Create visualizations and present insights to stakeholders
- Deploy machine learning models using MLOps practices
- Design develop validate and deploy machine learning models
- Develop predictive prescriptive and optimization models
- Drive AI adoption through trust and transparency
- Ensure secure scalable deployments with IT cloud and cybersecurity
- Identify and prioritize AI and machine learning opportunities
- Improve models algorithms and AI platforms continuously
- Integrate AI solutions using APIs dashboards and enterprise systems
- Monitor model performance accuracy and drift
- Research and evaluate emerging AI ML and generative AI technologies
- Translate business challenges into data science solutions
- Work with structured and unstructured datasets
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Anomaly Detection | Apache Spark | Azure | CI/CD | Classification | Clustering | Computer Vision | Data integration | Deep learning | Docker | ETL | Generative AI | Hadoop | Kubernetes | Language Processing | MLOps | MLflow | Machine Learning | Matplotlib | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | Power BI | PyTorch | Python | Regression | SQL | Scikit-learn | Seaborn | Series forecasting | Tableau | TensorFlow | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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