Architect - Data Scientist (AIML)
Tasks
- Collaborate with stakeholders to define AI project goals
- Conduct research and evaluation of AI techniques
- Curate clean and preprocess datasets for generative AI
- Design and implement AI solutions
- Develop and implement AI models and systems
- Ensure data privacy security and ethics in AI
- Establish evaluation metrics for generative AI outputs
- Implement and optimize end to end generative AI pipelines
- Implement similarity search for retrieval
- Integrate APIs and libraries for generative AI
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | BERT | CI/CD | CloudFormation | Continuous Deployment | Continuous integration | Data Engineering | Data Preprocessing | Deep learning | Docker | Domain Adaptation | GCP | GPT | Generative AI | Git | Infrastructure as Code | Kubernetes | LLMOps | Language Models | Language Processing | Large Language Models | Logging | MLOps | Machine Learning | Model Compression | Monitoring | NLP | Natural Language | Natural Language Processing | NoSQL | PyTorch | Python | R | Redis | Similarity Search | TensorFlow | Terraform | Transfer Learning | Transformer | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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