Business Consultant - AI/ML Engineer
Tasks
- Automate model training, testing, and deployment
- Build AI ML services with APIs
- Build feature engineering pipelines
- Deploy machine learning models
- Design machine learning models
- Develop data preprocessing pipelines
- Implement MLOps for model lifecycle management
- Integrate AI ML with enterprise microservices
- Monitor production models and model drift
- Optimize model accuracy and performance
- Participate in code reviews and technical design discussions
- Perform data quality issue resolution
- Train and evaluate machine learning models
- Translate business requirements into AI/ML solutions
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance
- Health savings account
- Life and AD D Insurance
- Long-term disability
- Medical insurance
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | Cloud platform | Data Pipelines | Data Preprocessing | Data Privacy | Databricks | Docker | Embeddings | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Microservices | Model Evaluation | Model Governance | Model Monitoring | Model versioning | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Scikit-learn | Security | Semantic Search | Snowflake | Spark | TensorFlow | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI/ML Engineer | Business Consultant | Consultant | Engineer | ML Engineer
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