Manager - Data Scientist - AI/ML
Tasks
- Build and optimize end to end AI pipelines
- Collaborate with stakeholders on AI goals
- Curate, clean, and preprocess datasets
- Define evaluation metrics for generative AI
- Design and implement AI solutions
- Develop and implement AI models
- Develop retrieval and generation solutions
- Ensure data privacy and ethical compliance
- Evaluate generative AI techniques
- Implement similarity search
- Implement vector database storage
- Integrate APIs and libraries for generative AI
- Research and evaluate advanced AI techniques
Perks/Benefits
- N/A
Skills/Tech-stack
AI ethics | AWS | Azure | Azure OpenAI | BERT | CI/CD | Cloud Computing | Cloud platform | CloudFormation | Continuous Deployment | Continuous integration | Data Engineering | Data Preprocessing | Data Privacy | Deep learning | DevOps | Docker | Domain Adaptation | GPT | Generative AI | Git | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Integer Programming | Kubernetes | LLMs | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Mixed Integer | Mixed-Integer Programming | Model Compression | Monitoring and Logging | NLP | Natural Language | Natural Language Processing | NoSQL | Optimization Techniques | 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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