AI& Data Engineer (Hybrid)
USD 150K-200K (estimate) Senior-level Full Time
Tasks
- Apply computer vision for detection and classification
- Build RAG pipelines
- Build scalable secure reusable ML APIs and workflows
- Conduct A/B testing and model evaluation
- Design and build end to end AI pipelines
- Develop and deploy conversational AI solutions
- Develop time series predictive models
- Experiment with foundational models and fine tune
- Implement MLOps pipelines with containerization
- Implement intent classification and entity extraction
- Integrate AI models into production
- Manage multi turn dialogue systems
- Stay current with AI ML research and apply improvements
- Support deployment using APIs and microservices
- Translate business problems into data-driven solutions
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Computer Vision | DVC | Data Modeling | Data Warehousing | Deep learning | Docker | Docker Compose | Feature Engineering | Google Cloud | Hugging Face | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Natural Language | Natural Language Processing | OpenCV | PGVector | Pandas | Pinecone | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Spacy | Vector Databases | Weaviate
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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