AI& Data Engineer (Hybrid)
USD 139K-175K (estimate) Senior-level Full Time
Tasks
- Architect scalable secure ML APIs
- Build RAG pipelines
- Build reusable ML workflows and pipelines
- Conduct A/B testing and model evaluation
- Deploy ML models to production
- Design and build end to end AI pipelines
- Develop deploy conversational AI solutions
- Develop time series predictive models
- Experiment with foundational models and fine tune
- Integrate models into production systems using APIs and microservices
- Perform computer vision detection and classification
- Stay current with AI research
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Azure | B testing | CI/CD | Computer Vision | DVC | Data Modeling | Data Warehousing | Docker | Docker Compose | Feature Engineering | GCP | Hugging Face | Hugging Face Transformers | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model Evaluation | Natural Language | Natural Language Processing | OpenCV | PGVector | Pinecone | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Spacy | Vector Databases | Weaviate
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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