Manager - Data Scientist - AI/ML
Tasks
- Conduct research and evaluate AI techniques
- Curate, clean, and preprocess datasets
- Design and implement AI solutions
- Develop and implement AI models and systems
- Develop generative AI solutions
- Ensure data privacy, security, and ethical compliance
- Establish evaluation metrics for AI outputs
- Implement and optimize end to end pipelines
- Implement similarity search for retrieval
- Integrate APIs and libraries for generative AI
Perks/Benefits
Skills/Tech-stack
AWS | Azure | BERT | CI/CD | Cloud Computing | CloudFormation | Continuous Deployment | Continuous integration | Data Engineering | Data Preprocessing | Data Privacy | Data Security | Deep learning | DevOps | Docker | Domain Adaptation | GPT | Generative AI | Git | Google Cloud | Infrastructure as Code | Kubernetes | LLM | Language Processing | MLOps | Machine Learning | Model Compression | Model Logging | Model Monitoring | NLP | Natural Language | Natural Language Processing | NoSQL | Optimization | PyTorch | Python | R | Redis | Similarity Search | TensorFlow | Terraform | Transfer Learning | Transformers | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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