3 months ago
Remote, WorldwideSenior / Mid Level
H1B Sponsor
Responsibilities
- Design, build, and deploy scalable machine learning models for OCR and document processing.
- Research and implement algorithms for extracting structured information from unstructured documents and audio.
- Optimize and fine-tune models for real-world performance and reliability.
- Collaborate with product, data, and engineering teams to integrate ML solutions into production workflows.
- Analyze model outputs, perform error analysis, and iterate based on results and feedback.
- Document methodologies, experiments, and best practices.
Requirements
- 3–9 years of experience in machine learning engineering or research.
- Proven experience in developing and deploying ML solutions for OCR, NLP, and document processing.
- Proficiency with Python and ML frameworks like TensorFlow or PyTorch.
- Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.).
- Experience with cloud platforms (AWS, GCP, or Azure) and scalable model deployment (Docker, Kubernetes).
- Ability to analyze large datasets and troubleshoot complex ML pipelines.
- Excellent problem-solving, communication, and teamwork skills.
- Willingness to work on-site in Bengaluru or NYC.
Benefits
- Opportunity to work on mission-critical problems that impact millions.
- Collaborative, high-growth environment with an expert team.
- Competitive salary and comprehensive benefits.
- Centrally located modern office in Bengaluru or NYC.
Tech Stack
Categories
AI & MLData Science