AI and ML Engineer
USD 55K-126K Mid-level Full Time
Tasks
- Collaborate with data teams
- Contribute to AI-enabled system development
- Define ML strategies
- Develop NLP and LLM solutions
- Ensure security and compliance
- Evaluate algorithm performance
- Implement devops practices
- Process data for insights
- Solve technical issues in ML systems
- Support clients in ML landscape
- Train test deploy maintain ML models
- Work with API services
Perks/Benefits
- Disability coverage
- Financial benefits
- Health benefits
- Life insurance
- Paid leave
- Professional development
- Recognition awards
- Retirement plans
- Tuition assistance
- Work-life balance programs
Skills/Tech-stack
AI Algorithms | AI Concepts | AI Deployment | AI systems | AI systems knowledge | API Integration | Algorithm Selection | Big Data | Big Data Technologies | CI/CD | Clustering | Data Technologies | Databricks | Deep learning | DevOps Tools | Docker | Evaluation | FastAPI | Flask | GitLab CI | GitLab CI/CD | Hive | K8s | Keras | LLM | ML Model Evaluation | MXNet | Model Evaluation | NLP | NLP frameworks | PySpark | PyTorch | Python | RAG | Regression | Synapse | Systems Knowledge | TensorFlow
Education
Roles
Regions
Countries
States
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