Lead Machine Learning Engineer [Riyadh]

Talent Seed; Toronto; On-site; CAD 150,000 - 200,000; Full time

Job summary

A leading company seeks a Lead Machine Learning Engineer in Toronto to join their AI team. Ideal candidates will have extensive experience in machine learning, especially with Large Language Models, to develop intelligent solutions that enhance customer engagement. The role focuses on advancing the company's customer experience capabilities through innovative machine learning strategies.

Qualifications

• Over 8 years of commercial experience in Machine Learning.
• Expertise in Large Language Models.
• Strong programming skills in Python and experience with ML frameworks.

Responsibilities

• Develop and refine advanced machine-learning models.
• Enhance customer interactions through optimized conversational AI.
• Align machine learning solutions with customer experience goals.

Skills

Machine Learning

Natural Language Processing

Deep Learning

Programming Skills

Customer Experience Strategies

Tools

Python

TensorFlow

PyTorch

Hugging Face Transformers

SQL

Hadoop

Spark

Job description

• This role requires relocation to Riyadh, KSA

We seek a highly skilled and motivated Lead ML Engineer with a deep understanding of Large Language Models (LLMs) to join our growing AI team. This role will develop and refine advanced machine-learning models to enhance customer interactions and engagement. By leveraging LLMs, the engineer will optimize conversational AI systems, personalize user experiences, and implement intelligent solutions that drive customer satisfaction. Their expertise in machine learning, natural language processing, and deep understanding of customer experience strategies will be instrumental in advancing our CX capabilities.

Qualifications :

• Over 8 years of commercial experience in Machine Learning.
• Expertise in Large Language Models (LLMs)
• Proficiency in developing, fine-tuning, and optimising proprietary or open-source LLMs to enhance customer experience applications.
• Strong Programming Skills : Advanced knowledge of programming languages such as Python, along with experience using machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
• Experience in Natural Language Processing (NLP) : Deep understanding of NLP techniques, including text analysis, sentiment detection, conversational AI, and dialogue management.
• Knowledge of Customer Experience (CX) Strategies : Ability to align machine learning solutions with CX goals, leveraging data to personalize interactions and improve overall customer engagement and satisfaction.

Nice to have :

• Expertise in Machine Learning Algorithms : Proficiency in developing and optimizing machine learning models, including experience with algorithms relevant to credit risk assessment.
• Knowledge of Credit Risk Analysis : Deep understanding of credit risk methodologies, financial risk modelling, and industry regulations impacting credit evaluations.
• Experience with Data Analysis and Big Data Tools : Ability to work with large financial datasets using tools like SQL, Hadoop, or Spark for data extraction and processing.

Seniority level

Director

Employment type

Full-time

Job function

Information Technology

IT Services and IT Consulting and IT System Custom Software Development

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Machine Learning Engineer • Toronto, ON, Canada