About the job
Work Model: Hybrid | Employment Type: Full-time
At Accepted, we specialize in software and digital transformation services that empower clients to drive innovation across various sectors such as Finance, Energy, Gaming, Telco, and more. With over 20 years of engineering excellence, we pride ourselves on delivering outcome-focused solutions and cultivating high-performance teams that integrate seamlessly with your operations.
We are on the lookout for an experienced Senior Machine Learning Engineer to enhance our hybrid delivery teams.
Key Responsibilities
- Design, implement, and deploy machine learning solutions tailored for document-intensive environments, emphasizing automation and intelligent document processing;
- Develop and refine NLP and LLM-based applications for document comprehension, including classification, entity recognition, and semantic search;
- Construct and oversee comprehensive ML pipelines, covering data preprocessing, training, evaluation, deployment, and monitoring;
- Work on document ingestion and processing workflows involving PDFs, scanned documents, and unstructured data, facilitating metadata extraction and indexing;
- Implement and enhance RAG pipelines and LLM integrations for enterprise knowledge management systems;
- Collaborate closely with product, engineering, and business teams to convert document management and operational requirements into scalable ML solutions;
- Contribute to the design and ongoing development of internal AI platforms and automation workflows;
- Ensure the performance, scalability, and reliability of ML systems within production environments;
- Support experimentation, model optimization, and the continuous enhancement of ML solutions.

