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Engineering Contract
Remote
ML Engineer
Build and deploy machine learning models that power our AI products and drive real business value.
Remote
Posted Jan 3, 2025
Responsibilities
- Develop and deploy ML models for document understanding and NLP tasks
- Build and maintain ML pipelines for training and inference
- Collaborate with product team to translate requirements into ML solutions
- Optimize models for performance and cost-efficiency
- Stay current with latest advances in AI/ML research
Requirements
- 3+ years of experience in ML engineering or applied ML
- Strong foundation in machine learning and deep learning
- Experience with NLP, transformers, and LLMs
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow)
- Experience deploying models to production
- Strong analytical and problem-solving skills
Nice to Have
- Experience with document processing or OCR
- Familiarity with RAG systems and vector databases
- Publications or contributions to ML research
- Experience with MLOps tools and practices
About the Role
We’re seeking an ML Engineer to join our team and help build the next generation of AI-powered automation tools. You’ll work on challenging problems in document understanding, information extraction, and conversational AI.
What You’ll Do
You’ll be responsible for the full ML lifecycle - from prototyping and experimentation to production deployment. You’ll work closely with our product and engineering teams to deliver ML solutions that create real value for our customers.
Our ML Stack
- Frameworks: PyTorch, Hugging Face Transformers
- Infrastructure: AWS SageMaker, Ray, MLflow
- Models: LLMs, embedding models, custom fine-tuned models
- Data: Document processing, structured extraction, semantic search
What We Offer
- Competitive contract rates
- Flexible working hours
- Work from anywhere
- Learning and development budget
- Access to cutting-edge AI technology
Job Details
- Department
- Engineering
- Type
- Contract
- Location
- Remote
- Posted
- Jan 3, 2025