Applied Ml Developer Jobs in Quebec

Develop and implement state-of-the-art algorithms and models that underpin AI features and capabilities.

Collaborate closely with engineering and product teams to comprehend requirements and translate them into effective AI features.

The candidate should have experience with modern machine learning and data science toolkits such as PyTorch/Tensorflow, Pandas, NumPy, Scikit-learn, Jupyter/Python.

Experience with training transformers, MLOps and tools such as SpaCy and Azure ML is a plus, as is experience with C#

Identify and source relevant structured and unstructured data from various internal and external sources.

Collect, preprocess, and transform data into usable formats, ensuring accuracy, completeness, and quality.

3 years+ experience as a Software Engineer

Extensive commercial experience in Python

Experience with infra (ML Ops)

Up to $200,000 CAD salary + Bonus + Benefits

Software Engineer (ML) - Up to $200,000 CAD + Bonus + Benefits - Montreal (Hybrid)

Develop efficient platforms to deploy machine learning models.

Help define project scope, goals, and deliverables in collaboration with senior management and stakeholders.

Report and escalate issues to management as needed.

Manage changes in project scope, schedule, and costs using appropriate verification techniques.

Identify and manage project risks and issues, and devise mitigation strategies.

MTL.AI is searching for a skilled

Applicants should be residents of Canada. Possibilities for remote work within Canada.

A lot of scope for growth and future management!

Good knowledge of CI/CD is a huge plus

Experience working within the ML space is a massive advantage

Building out cutting edge ML Infrastructure used by ML Engineers

Setting up the AWS environment

Building production grade infrastructure platforms for containerization, deployment and monitoring of ML Models

Proficiency in biological database management and the use of bioinformatics tools and software

Experience in data governance modeling

Experience working with HTS Omics sequencing data (Eg: RNAseq, scRNAseq, ISLAND, WES)

Experience supporting and working with cross-functional teams in a dynamic environment

Experience working with high-throughput sequencing data (RNAseq, scRNAseq, WES)

Extensive knowledge in applying machine learning and statistical modeling to biological datasets

Experience in requirements gathering, conducting client workshops and collaborate with multiple stakeholders.·

Primary Skills (Must have) :

Develop, analyze and document requirements, including business, functional and non-functional

Work closely with stakeholders to understand their business objectives and requirements

Well versed with converting functional specifications to user stories·

Analyze existing business processes and data to identify areas of improvement and develop comprehensive solutions"

3+ years' experience as a Data Scientist

Knowledge of Transformers and LLM

Strong Python and SQL skills

Up to $200,000 CAD salary + Bonus + Benefits

Data Scientist - Up to $200,000 CAD + Bonus + Benefits - Montreal (Hybrid)

Degree in CS/Engineering/Math or related field

Experience fine-tuning large language models

Experience with prompt engineering of text and image models

Experience with game engines and game development

Experience with natural language code generation

Ideate and prototype LLM applications to be used by the production team

Transform successful prototypes into robust applications that can be used as dev tools

Experience/ knowledge of networks (5G, A100, NVIDIA, RF etc)

Experience as a Data Scientist

Good skills in Python and SQL

Degree in Computer Science/ Engineering or Mathematics (or related field)

Academic or work experience in running Machine Learning experiments

Strong analytical and conceptual problem-solving skills

Excellent oral and written communication skills

An annual leave policy offering 22 days of holiday upon hiring;

A comprehensive group insurance program (health, dental, disability, life, health care account, travel insurance and extended benefits);

Engendrer l'adoption de l'AA dans les petites et moyennes entreprises (PME)

Manage and monitor ML models in production

You’ll Be Right At Home If You Have….

-Experience working with large language models

-Python experience preferred (4+ years)

Perks & Benefits You Will Get….

Deploy, scale, and monitor machine learning models on the company's platform

Candidacies will be screened by the Ottawa Education Group.

Applied Technology Researchers (400 positions)

Candidates will specialize in one of the following technology specializations:

The 11-week Technology Experiential Learning Program (TELP) fee is:

At least 5 years years industry experience doing data science/quantitative modeling

Experience in developing and training deep learning architectures

Experience working with engineering partners to deploy prototypes to production

Experience evaluating niche and upcoming ML solutions

Build deep learning architectures and feature embeddings for Payment entities such as merchant, issuer, or customer

Define metrics, generate data insights and conduct experiments to measure business impact

7+ years’ experience in product management, including roadmap definition, matrixed team collaboration, requirements definition, and go-to-market

Ability to work independently and make informed, consequential decisions without management supervision

Hands-on experience with modern analytics platforms and tools, including traditional business intelligence and advanced analytics

Experience in the Agile SDLC

Demonstrable track record in successfully bringing AI/ML features to market in a SaaS environment, B2B preferred.

Understanding of global workforce trends, vertical-specific trends, and the implications for people and business strategy