We're looking for a Senior ML Engineer to strengthen our hybrid delivery teams. The role involves designing, developing, and deploying machine learning solutions for document-intensive environments.
Requirements
- 3–8 years of experience in Machine Learning / AI engineering roles, ideally in document-heavy or enterprise environments;
- Strong experience in NLP and document understanding, LLMs and prompt engineering, Information extraction, classification, and semantic search.
- Hands-on experience with Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face);
- Experience with document processing technologies (OCR, intelligent document processing, metadata extraction);
- Experience building and deploying ML pipelines (MLOps, APIs, Docker, cloud environments such as AWS/Azure/GCP);
- Familiarity with vector databases, embeddings, and retrieval systems;
- Understanding of data engineering concepts (ETL pipelines, data preprocessing, large-scale text processing);
- Ability to design scalable solutions for high-volume document workflows and enterprise platforms;
- Bachelor's or Master's degree from a reputable university in Computer Science, Machine Learning, Data Science, or a related field.
Benefits
- Competitive compensation
- Annual bonus scheme linked to company performance
- Private medical, dental, and life insurance coverage
- Ongoing professional development through training and certifications
- Structured mentoring to support your growth and advancement