Business Consultant - AI/ML Engineer
Tasks
- Build integrate AI ML services using APIs and microservices
- Collaborate with stakeholders to translate requirements into AI ML solutions
- Design develop train deploy machine learning models
- Develop automated MLOps pipelines for training testing deployment and monitoring
- Develop data preprocessing and feature engineering pipelines
- Evaluate and optimize ML models for accuracy performance scalability
- Implement model versioning deployment monitoring and lifecycle management
- Monitor production models and address drift and data quality issues
- Participate in code reviews and agile delivery
- Process structured and unstructured datasets
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
APIs | AWS | CI/CD | Cloud platform | Data Preprocessing | Databricks | Docker | Embeddings | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Evaluation | Model Monitoring | PyTorch | Python | RAG | SQL | Scikit-learn | Semantic Search | Snowflake | Spark | TensorFlow | Vector Databases
Education
N/A
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