Sr. DATA SCIENTIST II – Immediate requirement(7+ years’ experience)Full-Time Position (Hybrid - Toronto)
Appfabs Incorporation is a Toronto based IT company established in the year 2016. We are Canada’s leading product development partners for Legal, Financial and Insurance domain clients. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Multi culture. What brings people here? Well for starters, a positive, passionate, performance driven culture, opportunities for growth, and the forward-thinking values of a global organization. Appfabs Incorporation is having its footprints in North America (USA & Canada), India & Brazil and is in the foray to extend its product engineering service division to other terrains. We at Appfabs value talents and have helped hundreds build an immaculate career with a strong and cemented work culture.Technical Skill set:RESPONSIBILITIESDevelop and implement LLM-based applications tailored for in-house legalFine-tune and deploy large language models to enhance their performance on legal text processing tasksEvaluate and help maintain our data assets and training/evaluation data setsDesign and build pipelines for preprocessing, annotating, and managing legal document datasetsCollaborate with legal experts to understand requirements and ensure models meet domain-specific needsConduct experiments and evaluate model performance to drive continuous improvementsInterface with other technical personnel or team members to finalize requirements.Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.Successfully implement development processes, coding best practices, and code reviews for production environments.REQUIREMENTSFormal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithmsExperience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers.Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERTPractical experience with large language models, prompt engineering, fine-tuning and benchmarkingStrong Python backgroundKnowledge of AWS, GCP, Azure, or other cloud platformUnderstanding of data modeling principles and complex data models.Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB)Knowledge of Spark, Ray, or other distributed computing systems highly preferredKnowledge of API development, containerization, and machine learning deployment highly preferredExperience with ML Ops/AI Ops highly preferredPREFERRED QUALIFICATIONSMS in Data Science, Computer Science, Statistics, Machine Learning, or related field2+ years of relevant work experience2+ years Java experience.
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