Maplesoft Group is currently seeking a Machine Learning Engineer for our Federal Government client.

Background:
To develop a Proof of Concept for an internal chatbot for internal information using machine leaning packages.  

Services:
- Lead the system design and implementation of ML solutions focused on RAG pipelines, LLMs, and production-grade infrastructure for NLP systems that combine structured and unstructured data from multiple sources.
- Build LLM-powered APIs and Chatbot Assistants using LangChain, LlamaIndex, or similar frameworks. Work with vector databases like pgvector, Weaviate, or Pinecone to store and retrieve document embeddings.
- Ingest and process data from sources like SharePoint, Documents, GitLab, Confluence, Databases, Wikis, and more.
- Design and integrate new use cases for the NLQ (Natural Language Querying) product by working with data pipelines and enhancing prompt engineering. Train or fine-tune lightweight models for intermediate NLP requirements.
- Develop and iterate on the existing ML pipeline, including containerized services deployed via Docker and Kubernetes. 
- Enforce MLOps standards, and Integrate ML Product consumption through platforms such as MS Teams, Code Editors (VS Code, RStudio)


Maplesoft Group prides itself on its distinct corporate culture and recognizes that success is a direct reflection of our most valuable asset - our people.  Therefore, attitude and ambition are key personality traits we seek out, along with skill and aptitude, in potential employees.

Maplesoft Group is committed to having a diverse, representative workforce and continuing to build an inclusive environment. We encourage applications from all qualified individuals. Maplesoft Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Aboriginal peoples or any other legally protected factors. 

All employment decisions are made based on business needs, job requirements, and individual qualifications. 

We are committed to developing inclusive, barrier-free recruitment and selection processes, and a work environment that supports our diverse workforce. Please let us know if you require accommodations at any stage of the recruitment process. We can be reached at Maplesoft Info at info@maplesoftgroup.com.

We thank you for your interest in Maplesoft Group and wish to advise you, that only candidates under consideration will be contacted.