Lead Data Scientist

SW5 Consulting; Toronto; Hybrid; CAD 150,000 - 220,000; Full time

Job summary

A leading technology consultancy is searching for ML and NLP/Gen AI/LLM Scientists to leverage AI/ML in creating impactful solutions. The role involves custom model development, evaluation, and deployment in hybrid work settings, offering a competitive salary based on experience.

Qualifications

• 8+ years of professional experience with structured and unstructured data.
• 3+ years of experience with Python and statistical tools.
• Expert in developing and tuning Large Language Models.

Responsibilities

• Design and develop custom ML, Gen AI, NLP, and LLM models.
• Implement optimizations and evaluate model performance.
• Collaborate with teams to integrate models into production systems.

Skills

Python

NLP

Machine Learning

Deep Learning

Generative AI

LLMs

Education

Bachelor's, Masters, or Ph.D. in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering

Tools

Hugging Face

TensorFlow

Keras

PyTorch

Job description

Job DescriptionJob Description

Exciting Opportunity for ML and NLP/Gen AI/LLM Scientists

Are you passionate about leveraging automation and AI/ML to drive business value? We have a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM experts to advance their careers and apply their technical expertise in NLP, deep learning, GenAI, and LLMs. Join us in conducting cutting-edge applied research and making a significant impact across multiple stakeholders.

Responsibilities and Impact

ML, Gen AI, NLP, LLM Model Development:

• Design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing-based AI/ML pipelines.
• Work on data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning, and prompt engineering.
• Collaborate with data science, MLOps, and technology teams to ensure solutions meet all technical and business requirements.

ML, NLP, LLM Model Evaluation:

• Develop, validate, and maintain robust evaluation solutions and tools to assess model performance, accuracy, consistency, and reliability.
• Implement model optimizations to enhance system efficiency.

NLP, LLM, Gen AI Model Deployment:

• Partner with the MLOps team to deploy machine learning models into production environments, ensuring reliability and scalability.

Internal Collaboration:

• Work closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to integrate machine learning models smoothly into production systems.

Experience Required:

• Bachelor's, Masters, or Ph.D. degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field.
• 8+ years of professional hands-on experience with large sets of structured and unstructured data to develop data-driven analytics and insights using ML, RAG, and NLP.
• 3+ years of hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in Python programming.
• 3+ years of experience developing NLP models, ideally with transformer architectures.
• 3+ years of experience implementing information search and retrieval at scale, using solutions ranging from keyword search to semantic search using embeddings.
• Knowledge and hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI).
• Experienced with NLP, LLMs (extractive and generative), fine-tuning, and LLM model development. Strong familiarity with trends in LLMs and open-source platforms.

This role is hybrid and requires you being able to attend the Toronto office. The position will pay between $150k-$220k depending on experience. Send your resume now