AI Developer – AI/ML, Python, LangChain, RAG, NLP LLM
Summary
Senior AI Developer working in a hybrid Toronto role (4 days in office) to build, deploy, and monitor machine learning models with an NLP/LLM focus. Day to day involves optimizing predictive models, running ML pipelines and CI/CD for model lifecycle management, and collaborating in Agile squads using Python, LangChain, Hugging Face, and cloud platforms.
AI DEVELOPER – AI/ML, PYTHON, LANGCHAIN, RAG, NLP, LLM
TORONTO, ON - HYBRID (4 DAYS WFO)
ROLE DESCRIPTIONS
What is the opportunity? The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional teams to drive business growth and improvement. The candidate will have a strong background in machine learning models and algorithms, software development and leadership, with a proven track record of delivering high-quality solutions that meet business needs. The person will collaborate closely with team members under Agile Squad including product owners, Data Scientists, Designers, Quality Engineers and other ML Engineers.
WHAT WILL YOU DO?
• Develop and Optimize Machine Learning Models: refine predictive models tailored for Caribbean use cases such as document automation, customer segmentation or risk assessment.
• Ensure Scalable Model Deployment: implement robust ML pipelines that enable the seamless deployment of models into production while ensuring scalability, reliability, and minimal downtime.
• Collaborate with Cross-functional Teams: work closely with data scientists, product managers and software engineers to integrate AI models into existing Caribbean workflows and applications.
• Streamline Pipeline Releases: build automated CI/CD pipelines for ML model lifecycle management, ensuring efficient testing, versioning, and deployment of new features or updates.
• Maintain and Monitor Model Performance: continuously evaluate deployed models performance, accuracy, and fairness. Implement monitoring systems to detect and mitigate model drift or biases.
• Document and Share Knowledge: maintain comprehensive documentation of models, pipelines, and processes.
• Maintain and Monitor production applications: participate in SRE setup to support end-to-end application in production. Ready to provide after hour support on need basis.
• Enhance Operational Efficiency: keep software engineering practice in mind, build products that can be maintain with least incidents, maintain metrics and monitoring to meet Service and Operational Level Agreements.
• Emerging Technology: stay up-to-date with the latest advancements in machine learning and related emerging technologies, share knowledges with teams and apply the knowledge to improve existing systems and develop new ones.
WHAT DO YOU NEED TO SUCCEED?
MUST HAVE
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with cloud platforms (AWS, GCP, and Azure) and MLOps tools.
• Core Machine Learning and AI Skills with 2+ years of hands-on experience in model development and optimization, with knowledge of advance ML techniques.
• Hands-on experience with frameworks like Hugging Face Transformers, LangChain, or OpenAI APIs.
• Natural Language Processing (NLP): strong understand of NLP tasks such as entity recognition, summarization, text classification.
• Skills in evaluating LLM performance using metrics.
• Data Pipeline and Workflow: proficiency in creating, maintaining, and troublesh