Senior Data Scientist, Eleks

Eleks; Montreal; On-site; CAD 80,000 - 143,000; Full time

Job summary

A technology company in Montreal is seeking a Senior Data Scientist to join their Data & Analytics team. The role involves rapid prototyping of machine learning models and fine-tuning LLMs. Candidates should have over 5 years of experience in data science and strong communication skills. It's a dynamic environment with opportunities for influence and development.

Benefits

Close cooperation with a customer

Challenging tasks

Competence development

Qualifications

• 5+ years of practical experience as a Data Science Engineer.
• Strong hands-on knowledge of frameworks like LangChain and LangGraph.
• Deep understanding of conversational AI principles.

Responsibilities

• Perform rapidly prototype and iterate on machine learning models.
• Work with supervised and unsupervised learning.
• Fine-tune LLM models.

Skills

Data Science Engineering

Large Language Models (LLMs)

Conversational AI

Communication Skills

Job description

Overview

ELEKS is looking for a Senior Data Scientist at Montreal, Canada, to join our growing Data & Analytics team. You’ll become a part of the team of professionals of leading global clients in finance, healthcare, and beyond.

Salary range – $80 000-143 000

Qualifications

• 5+ years of practical experience as a Data Science Engineer
• Strong hands-on knowledge of Large Language Models (LLMs) and frameworks such as LangChain, LangGraph, LangFlow, RAG pipelines.
• Deep understanding of conversational AI principles, including dialog management, fine-tuning, and model evaluation
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders

Responsibilities

• Perform rapidly prototype and iterate on machine learning models
• Work with supervised, unsupervised, and reinforcement learning
• Work with domain specific modelling challenges (e.g., LLMs, computer vision, time series)
• Fine-tuning LLM models
• Work closely with cross-functional colleagues
• Monitor and analyze the performance of models in production, and propose and implement improvements

Benefits

• Close cooperation with a customer
• Challenging tasks
• Competence development
• Ability to influence project technologies
• Team of professionals
• Dynamic environment with low level of bureaucracy