Ideal Candidate Profile
- Senior AI/ML Engineer or Data Scientist with hands-on delivery experience
- Strong experience with Generative AI and LLMs
- Fine-tuning LLMs
- RAG architectures
- Prompt engineering
- LLM evaluation, monitoring, and governance
- LangChain and Hugging Face
- Deep expertise in Machine Learning and Data Science
- Predictive analytics
- Time-series forecasting
- Statistical modeling
- Feature engineering
- Anomaly detection
- Deep learning
- Experience with Computer Vision
- Object detection and tracking
- Image processing
- OpenCV
- Model optimization and deployment
- Strong NLP background
- Transformers
- BERT-based solutions
- Text classification
- Information extraction
- Proven MLOps experience
- MLFlow, Kubeflow, Airflow, Ray
- Docker and Kubernetes
- CI/CD for machine learning
- Production model deployment and monitoring
- Strong cloud experience, preferably AWS
- Advanced Python development skills
- Experience taking AI solutions from concept through production deployment
Bonus Skills
- Adversarial AI / AI Red Teaming
- Edge AI deployments
- Graph Neural Networks
- TensorRT optimization
- Federal or DoD experience
- Active clearance
The ideal person would be able to lead technical AI discussions with clients while remaining hands-on enough to architect, build, deploy, and operationalize AI/ML solutions.
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior