AI Engineer - AI/ML
Minnetonka, Minnesota, UNITED STATES; REMOTE
R
USD 98K-176K Mid-level Full Time
Tasks
- Apply MLOps best practices for model lifecycle management
- Build and optimize end to end machine learning pipelines
- Collaborate in agile sprints and maintain code repositories
- Deploy and manage AI solutions on cloud platforms
- Design develop and deploy machine learning models for analytics
- Develop and fine-tune generative ai models
- Ensure security and governance for healthcare data
- Implement LLM security with guardrails
- Implement large language model architectures with RAG
- Integrate data pipelines and data warehousing solutions
- Mentor junior team members
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Agentic Workflows | Agile | Auditability | Azure | Bedrock | CI/CD | Cloud platform | Data Factory | Data Lake | Databricks | Deep learning | Delta Tables | Docker | Drift analysis | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Hadoop | Kafka | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | ML Studio | MLflow | Machine Learning | Model Drift | Model Drift Analysis | Model versioning | Natural Language | Natural Language Processing | Output moderation | Prompt engineering | PySpark | Python | Quantization | REST APIs | Retrieval-Augmented Generation | SQL | Snowflake | Spark | T-SQL | TensorFlow | Vertex AI
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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