Applied AI/ML Lead
USD 177K-215K (estimate) Senior-level Full Time
Tasks
- Apply natural language processing
- Build and deploy large language model solutions
- Coaching and mentoring AI ML team members
- Collaborate with cross-functional teams
- Conduct research and development
- Develop agentic AI frameworks
- Develop data-driven solutions using AI
- Develop end-to-end AI/ML solutions
- Develop proof of concepts and transition to production
- Develop supervised unsupervised and semi supervised models
- Identify business requirements
- Integrate AI models into data pipelines
- Manage data lakes and data processing workflows
- Productionize AI/ML solutions
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AWS | Agentic AI | CI/CD | Data Lakes | Data Pipelines | Data Processing | Databricks | Deep learning | Git | Keras | LLM orchestration | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | OpenAI | PySpark | PyTorch | Python | Scikit-learn | Semi-Supervised Learning | Semi-supervised | Spark SQL | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI/ML Lead | Applied AI/ML Lead | Data Scientist | Engineer | Lead | Learning Engineer | ML Lead | Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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