Data Scientist / ML-NLP Engineer
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Job description
We are seeking a Senior Data Scientist / ML-NLP Engineer to join our dynamic team supporting the DCRS Inbound Correspondence function. The ideal candidate will have strong experience in machine learning, NLP, Gen AI open-source models, and software engineering and a proven ability to design, build, and maintain document capture applications and enterprise-scale ML/NLP solutions., * Design, develop, and maintain ML/NLP models for document capture and processing.
- Build supervised and unsupervised pipelines including data cleaning, analytics, feature creation, model selection, and ensemble methods.
- Implement performance metrics, model evaluation, and visualization for model monitoring.
- Engineer scalable solutions for large structured and unstructured datasets.
- Collaborate with cross-functional partners to translate business needs into technical solutions.
- Apply Gen AI and open-source models where appropriate to enhance document intelligence.
- Leverage OCR technologies for text extraction and downstream NLP tasks.
Requirements
- 7+ years of experience as a Data Scientist or in related roles.
- Bachelor’s degree in Computer Science or a related technical field.
- Deep understanding and hands-on exposure to Gen AI open-source models.
- 5+ years of programming experience in software development and Agile processes.
- 5+ years of Python (or equivalent) for building and deploying ML/NLP models.
- Experience setting up supervised and unsupervised ML/NLP models, including data cleaning, analytics, feature engineering, model selection, ensemble methods, and performance visualization.
- Experience with ML/NLP pipelines for large structured and unstructured datasets.
- 2+ years designing and developing enterprise-scale ML/NLP solutions such as NER, document classification, summarization, topic modeling, dialog systems, sentiment analysis, and OCR text processing.
- Knowledge and hands-on experience with OCR products.
Preferred Skills:
- Master’s degree in Computer Science, Data Science, or a related field.
- Experience collaborating with partners and stakeholders across multiple lines of business.
- Ability to navigate enterprise data assets across functions.
- Strong organization, prioritization, and communication skills in a fast-paced environment.
- Analytical problem-solving with a client-focused approach.
Benefits & conditions
- Competitive compensation and benefits.
- Opportunities for growth with global clients.
- A supportive, inclusive culture that values innovation and people.
- Exposure to cutting-edge technologies and projects.
Additional Details & Notes
- Start: ASAP. Two interview rounds via Teams. Glider ID verification required.
- Mandatory in-office policy. Resource must be onsite Day 1 and adhere to required onsite days.
- Candidates must list current and intended location on resume.
- Submit at the correct rate for the chosen location. Local candidates only at market rate.
- Maximum submissions per supplier: 3.
About the company
BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
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