Staff AI/ML Engineer (LLMs)
Tasks
- Analyze multi-modal datasets
- Apply large language models to domain problems
- Build production grade LLM applications and agentic systems
- Communicate technical strategy status and risks
- Deploy AI solutions across cloud on prem and hybrid environments
- Design and implement retrieval-augmented generation systems
- Fine tune foundation models for use cases
- Implement machine learning algorithms
- Lead and mentor a multidisciplinary team
- Translate research into applied mission capabilities
Perks/Benefits
- Continuing education
- Flexible time off
- Health insurance
- Learning and development
- Retirement benefits
- Wellness benefits
Skills/Tech-stack
AWS | BERT | Bitbucket | CUDA | Cloud deployment | Deep learning | Docker | EC2 | Fine Tuning | Git | GitLab | Huggingface | Kubernetes | Lambda | Langchain | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | S3 | Scalable Cloud Deployment | Scikit-learn | TensorFlow | Transformers | Vector Databases
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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