Careers at Scale360 AI

Join Us in Shaping the Future of AI

At Scale360 AI, we’re building the next generation of intelligent automation solutions that transform how businesses operate. We’re looking for talented, passionate individuals who want to push the boundaries of what’s possible with artificial intelligence.

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Why Work With Us?

Innovation-Driven Culture Work on cutting-edge AI projects that solve real-world problems. From large language models to computer vision applications, you’ll be at the forefront of AI technology.

Growth & Development We invest in our team through continuous learning opportunities, conference attendance, certification programs, and mentorship from industry experts.

Competitive Compensation Industry-leading salaries, equity options, performance bonuses, and comprehensive benefits packages.

Flexible Work Environment Hybrid and remote work options, flexible hours, and a results-oriented culture that values work-life balance.

Global Impact Join a team serving 5,000+ clients across 25 countries, making a tangible difference in how businesses leverage AI.

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Open Positions

AI/ML Engineer

Location: Montreal, QC / Remote
Type: Full-time
Experience: 3-5 years

About the Role: We’re seeking an experienced AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions for our enterprise clients. You’ll work on diverse projects ranging from predictive analytics to computer vision applications.

Responsibilities:

• Design and implement machine learning models and algorithms for various business applications
• Develop and optimize deep learning architectures using TensorFlow, PyTorch, or JAX
• Build scalable ML pipelines for training, evaluation, and deployment
• Collaborate with data engineers to ensure high-quality training data
• Conduct experiments, perform model evaluation, and iterate on solutions
• Deploy models to production environments and monitor performance
• Stay current with latest research and implement state-of-the-art techniques

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
• 3+ years of experience in machine learning and AI development
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience with cloud platforms (AWS, GCP, or Azure) for ML deployment
• Solid understanding of ML fundamentals: supervised/unsupervised learning, deep learning, reinforcement learning
• Experience with MLOps practices and tools (MLflow, Kubeflow, etc.)
• Strong problem-solving skills and ability to work independently
• Excellent communication skills for technical and non-technical audiences

Nice to Have:

• PhD in Machine Learning, AI, or related field
• Experience with computer vision or NLP applications
• Publications in top-tier AI conferences
• Contributions to open-source ML projects

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Large Language Model (LLM) Developer

Location: Montreal, QC / Remote
Type: Full-time
Experience: 2-4 years

About the Role: Join our LLM team to build and fine-tune large language models for enterprise applications. You’ll work on developing conversational AI, content generation systems, and intelligent automation tools powered by state-of-the-art language models.

Responsibilities:

• Fine-tune and optimize large language models (GPT, Claude, Llama, etc.) for specific use cases
• Develop prompt engineering strategies and RAG (Retrieval-Augmented Generation) systems
• Build and maintain LLM-powered applications including chatbots, content generators, and AI assistants
• Implement evaluation frameworks to measure model performance and quality
• Design and implement vector databases for efficient semantic search
• Optimize inference performance and reduce latency for production systems
• Research and implement latest techniques in LLM development (LoRA, QLoRA, PEFT methods)
• Collaborate with cross-functional teams to integrate LLMs into existing products

Requirements:

• Bachelor’s degree in Computer Science, AI, or related field
• 2+ years of hands-on experience with large language models
• Strong proficiency in Python and LLM frameworks (Langchain, LlamaIndex, Hugging Face)
• Experience with transformer architectures and attention mechanisms
• Knowledge of fine-tuning techniques and transfer learning
• Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
• Understanding of prompt engineering and instruction tuning
• Familiarity with API integration (OpenAI, Anthropic, Cohere, etc.)

Nice to Have:

• Experience training models from scratch
• Knowledge of model quantization and optimization techniques
• Experience with multi-modal models
• Background in computational linguistics or NLP research

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Natural Language Processing (NLP) Developer

Location: Montreal, QC / Hybrid
Type: Full-time
Experience: 3-6 years

About the Role: We’re looking for an NLP Developer to build intelligent text processing systems that extract insights from unstructured data. You’ll develop solutions for sentiment analysis, entity recognition, text classification, and information extraction.

Responsibilities:

• Design and develop NLP solutions for text analysis, classification, and extraction
• Build custom named entity recognition (NER) and information extraction systems
• Implement sentiment analysis and opinion mining algorithms
• Develop text summarization and question-answering systems
• Create and maintain NLP pipelines for data preprocessing and feature extraction
• Work with multilingual datasets and build language-agnostic solutions
• Optimize NLP models for accuracy, speed, and scalability
• Conduct research on latest NLP techniques and implement innovative solutions

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or related field
• 3+ years of experience in NLP development
• Strong proficiency in Python and NLP libraries (spaCy, NLTK, Hugging Face Transformers)
• Experience with traditional NLP techniques and modern deep learning approaches
• Knowledge of linguistic concepts: syntax, semantics, pragmatics
• Experience with text preprocessing, tokenization, and feature engineering
• Familiarity with word embeddings (Word2Vec, GloVe, BERT embeddings)
• Understanding of sequence models (RNNs, LSTMs, Transformers)

Nice to Have:

• Experience with low-resource languages
• Knowledge of linguistic annotation and corpus creation
• Experience with speech recognition or text-to-speech systems
• Background in computational linguistics or cognitive science

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Computer Vision Engineer

Location: Montreal, QC / Remote
Type: Full-time
Experience: 3-5 years

About the Role: Join our computer vision team to develop AI-powered visual intelligence solutions. You’ll work on object detection, image segmentation, facial recognition, and other cutting-edge computer vision applications.

Responsibilities:

• Develop computer vision models for object detection, classification, and segmentation
• Build and optimize convolutional neural networks (CNNs) and vision transformers
• Implement real-time video analysis and processing systems
• Create image preprocessing and augmentation pipelines
• Deploy computer vision models to edge devices and cloud infrastructure
• Work on 3D vision, depth estimation, and spatial understanding
• Collaborate with product teams to integrate CV solutions into applications
• Conduct experiments and analyze model performance metrics

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
• 3+ years of experience in computer vision development
• Strong proficiency in Python and CV frameworks (OpenCV, TensorFlow, PyTorch)
• Experience with CNN architectures (ResNet, YOLO, EfficientNet, Vision Transformers)
• Knowledge of image processing techniques and algorithms
• Experience with GPU programming and optimization
• Understanding of camera calibration and 3D geometry
• Familiarity with MLOps and model deployment

Nice to Have:

• Experience with autonomous systems or robotics
• Knowledge of medical imaging or satellite imagery analysis
• Experience with augmented reality (AR) or virtual reality (VR)
• Publications in computer vision conferences

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AI Research Scientist

Location: Montreal, QC / Hybrid
Type: Full-time
Experience: 5+ years

About the Role: Lead cutting-edge AI research initiatives and translate theoretical advances into practical applications. You’ll work on novel problems, publish research, and push the boundaries of what’s possible with AI.

Responsibilities:

• Conduct original research in machine learning, deep learning, or related fields
• Design and execute experiments to validate research hypotheses
• Publish findings in top-tier conferences and journals
• Collaborate with engineering teams to productionize research innovations
• Mentor junior researchers and engineers
• Stay current with latest AI research and identify opportunities for innovation
• Present research findings at conferences and to stakeholders
• Contribute to the company’s AI strategy and technical roadmap

Requirements:

• PhD in Computer Science, Machine Learning, AI, or related field
• 5+ years of research experience in AI/ML (academic or industry)
• Strong publication record in top-tier venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.)
• Deep expertise in at least one AI domain (NLP, computer vision, reinforcement learning, etc.)
• Excellent programming skills in Python and deep learning frameworks
• Strong mathematical foundation in statistics, optimization, and linear algebra
• Proven ability to translate research into practical applications
• Outstanding communication and presentation skills

Nice to Have:

• Postdoctoral research experience
• Experience leading research teams
• Industry experience bringing research to production
• Awards or recognition in the AI research community

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MLOps Engineer

Location: Montreal, QC / Remote
Type: Full-time
Experience: 3-5 years

About the Role: Build and maintain the infrastructure that powers our AI/ML operations. You’ll create robust pipelines for model training, deployment, monitoring, and ensure our ML systems run efficiently at scale.

Responsibilities:

• Design and implement ML pipelines for automated training and deployment
• Build CI/CD pipelines specifically for ML workflows
• Set up model monitoring, logging, and alerting systems
• Optimize model serving infrastructure for performance and cost
• Implement A/B testing frameworks for model comparison
• Manage model versioning and experiment tracking
• Automate data validation and model retraining processes
• Ensure security, compliance, and governance of ML systems
• Collaborate with data scientists to operationalize models

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years of experience in DevOps, MLOps, or related role
• Strong proficiency in Python and infrastructure as code (Terraform, CloudFormation)
• Experience with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
• Knowledge of containerization (Docker) and orchestration (Kubernetes)
• Familiarity with ML frameworks and model serving tools (TensorFlow Serving, Seldon, etc.)
• Experience with monitoring tools (Prometheus, Grafana, ELK stack)
• Understanding of ML concepts and model lifecycle

Nice to Have:

• Certifications in cloud platforms
• Experience with feature stores (Feast, Tecton)
• Knowledge of model optimization and quantization
• Background in data engineering

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Data Scientist

Location: Montreal, QC / Hybrid
Type: Full-time
Experience: 2-5 years

About the Role: Extract insights from complex datasets and build predictive models that drive business decisions. You’ll work with diverse data sources to solve challenging problems across various industries.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights
• Build predictive models for forecasting, classification, and recommendation
• Develop statistical models and hypothesis testing frameworks
• Create data visualizations and dashboards for stakeholders
• Collaborate with business teams to define analytical requirements
• Design and conduct A/B tests and experiments
• Clean, preprocess, and engineer features from raw data
• Communicate findings through reports and presentations

Requirements:

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or related field
• 2+ years of experience in data science or analytics
• Strong proficiency in Python/R and data analysis libraries (pandas, NumPy, scikit-learn)
• Experience with SQL and database querying
• Knowledge of statistical methods and experimental design
• Familiarity with data visualization tools (Tableau, Power BI, Plotly)
• Strong analytical and problem-solving skills
• Excellent communication skills for presenting to non-technical audiences

Nice to Have:

• Experience with big data technologies (Spark, Hadoop)
• Knowledge of causal inference methods
• Domain expertise in specific industries
• Experience with cloud-based analytics platforms

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AI Product Manager

Location: Montreal, QC / Hybrid
Type: Full-time
Experience: 4-7 years

About the Role: Drive the vision and strategy for our AI products. You’ll work at the intersection of technology and business, defining product requirements and ensuring our AI solutions deliver exceptional value to customers.

Responsibilities:

• Define product vision, strategy, and roadmap for AI/ML products
• Gather and prioritize customer requirements and feature requests
• Work with engineering teams to define technical specifications
• Conduct market research and competitive analysis
• Collaborate with design teams on user experience
• Define success metrics and track product performance
• Manage product launches and go-to-market strategies
• Communicate product updates to stakeholders and customers
• Balance technical feasibility with business objectives

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Business, or related field
• 4+ years of product management experience, preferably with AI/ML products
• Strong understanding of AI/ML technologies and capabilities
• Proven track record of launching successful products
• Excellent analytical and strategic thinking skills
• Strong communication and stakeholder management abilities
• Experience with agile development methodologies
• Data-driven decision-making approach

Nice to Have:

• MBA or advanced technical degree
• Technical background in AI/ML
• Experience in B2B SaaS products
• Knowledge of AI ethics and responsible AI practices

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Business Development Lead – AI Solutions

Location: Montreal, QC / Hybrid
Type: Full-time
Experience: 5-8 years

About the Role: Drive business growth by identifying opportunities, building relationships, and closing deals for our AI solutions. You’ll be the bridge between our technical capabilities and client needs.

Responsibilities:

• Identify and pursue new business opportunities in target markets
• Build and maintain relationships with key decision-makers
• Develop and deliver compelling sales presentations and proposals
• Understand client challenges and position our AI solutions effectively
• Negotiate contracts and close high-value deals
• Collaborate with technical teams on solution design and scoping
• Develop go-to-market strategies for new products and services
• Track and report on sales pipeline and revenue forecasts
• Represent the company at industry events and conferences
• Stay informed about AI industry trends and competitive landscape

Requirements:

• Bachelor’s degree in Business, Marketing, Computer Science, or related field
• 5+ years of experience in B2B sales or business development
• Strong understanding of AI/ML technologies and applications
• Proven track record of meeting or exceeding sales targets
• Excellent presentation and negotiation skills
• Experience selling enterprise software or technology solutions
• Strong network in relevant industries
• CRM proficiency (Salesforce, HubSpot, etc.)
• Self-motivated with strong entrepreneurial spirit

Nice to Have:

• MBA or advanced degree
• Technical background in AI/ML
• Experience in consulting or professional services
• Industry-specific expertise (finance, healthcare, retail, etc.)

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AI Solutions Architect

Location: Montreal, QC / Hybrid
Type: Full-time
Experience: 6-10 years

About the Role: Design and oversee the implementation of complex AI solutions for enterprise clients. You’ll work closely with clients to understand their needs and architect scalable, production-ready AI systems.

Responsibilities:

• Design end-to-end AI/ML architectures for enterprise clients
• Conduct technical discovery sessions and requirements gathering
• Create technical proposals and solution documentation
• Guide implementation teams and ensure architectural integrity
• Evaluate and recommend AI technologies and tools
• Address scalability, security, and performance requirements
• Provide technical leadership and mentorship to engineering teams
• Stay current with emerging AI technologies and best practices
• Present technical solutions to C-level executives

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 6+ years of experience in software architecture or AI/ML engineering
• Deep understanding of AI/ML technologies and architectures
• Experience with cloud platforms and distributed systems
• Strong knowledge of software design patterns and best practices
• Excellent problem-solving and analytical skills
• Outstanding communication and presentation abilities
• Experience working with enterprise clients
• Relevant certifications (AWS Solutions Architect, GCP Cloud Architect, etc.)

Nice to Have:

• PhD in AI/ML or related field
• Experience in consulting or professional services
• Industry-specific certifications
• Track record of architecting large-scale AI systems

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AI Ethics & Governance Specialist

Location: Montreal, QC / Hybrid
Type: Full-time
Experience: 3-5 years

About the Role: Ensure our AI systems are developed and deployed responsibly, ethically, and in compliance with regulations. You’ll establish frameworks for responsible AI and guide teams on ethical considerations.

Responsibilities:

• Develop and implement AI ethics guidelines and governance frameworks
• Conduct bias audits and fairness assessments of AI models
• Ensure compliance with AI regulations (GDPR, AI Act, etc.)
• Create documentation and training materials on responsible AI
• Review AI systems for ethical implications and risks
• Collaborate with legal and compliance teams
• Stay informed about AI ethics research and regulatory developments
• Advise product teams on ethical design considerations
• Establish processes for algorithmic accountability and transparency

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Law, Philosophy, or related field
• 3+ years of experience in AI ethics, governance, or compliance
• Understanding of AI/ML technologies and their societal implications
• Knowledge of relevant regulations and standards
• Strong analytical and critical thinking skills
• Excellent written and verbal communication
• Experience with bias detection and fairness metrics
• Ability to translate technical concepts for non-technical audiences

Nice to Have:

• PhD in AI Ethics, Philosophy of Technology, or related field
• Legal background or law degree
• Experience in regulated industries (healthcare, finance)
• Publications or research in AI ethics

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Technical Writer – AI Documentation

Location: Montreal, QC / Remote
Type: Full-time
Experience: 2-4 years

About the Role: Create clear, comprehensive documentation for our AI products and APIs. You’ll translate complex technical concepts into user-friendly guides, tutorials, and reference materials.

Responsibilities:

• Write and maintain technical documentation for AI/ML products and APIs
• Create tutorials, how-to guides, and best practices documentation
• Develop code examples and sample applications
• Collaborate with engineers to understand technical details
• Organize and structure documentation for easy navigation
• Update documentation based on product changes and user feedback
• Create diagrams, screenshots, and visual aids
• Maintain documentation style guide and standards
• Contribute to developer portals and knowledge bases

Requirements:

• Bachelor’s degree in Computer Science, Technical Writing, or related field
• 2+ years of technical writing experience, preferably for software or AI products
• Strong understanding of AI/ML concepts and terminology
• Excellent writing and editing skills
• Experience with documentation tools (Markdown, Git, docs-as-code)
• Ability to understand and explain complex technical concepts
• Familiarity with API documentation standards
• Basic programming knowledge (Python preferred)

Nice to Have:

• Experience with Sphinx, ReadTheDocs, or similar platforms
• Background in software development
• Knowledge of multiple programming languages
• Experience writing for developer audiences

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AI Training Data Specialist

Location: Montreal, QC / Hybrid
Type: Full-time
Experience: 1-3 years

About the Role: Manage and curate high-quality training datasets for AI models. You’ll oversee data collection, annotation, and quality assurance to ensure our models are trained on reliable data.

Responsibilities:

• Design and implement data collection strategies
• Manage data annotation projects and annotation teams
• Develop annotation guidelines and quality standards
• Perform quality assurance on labeled datasets
• Analyze data distribution and identify edge cases
• Collaborate with ML engineers on data requirements
• Implement data augmentation techniques
• Maintain data catalogs and documentation
• Ensure data privacy and compliance with regulations

Requirements:

• Bachelor’s degree in Computer Science, Statistics, or related field
• 1+ years of experience in data annotation, curation, or related role
• Understanding of ML data requirements and best practices
• Experience with annotation tools (Labelbox, Scale AI, etc.)
• Strong attention to detail and quality focus
• Familiarity with data privacy regulations
• Basic understanding of ML concepts
• Project management skills

Nice to Have:

• Experience with specific data types (NLP, computer vision, audio)
• Knowledge of active learning techniques
• Background in linguistics or domain expertise
• Programming skills in Python

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Internship Opportunities

AI/ML Research Intern

Duration: 4-8 months
Location: Montreal, QC / Hybrid

Work alongside our research team on cutting-edge AI projects. Ideal for graduate students pursuing advanced degrees in AI/ML or related fields.

Software Engineering Intern – AI Products

Duration: 4-8 months
Location: Montreal, QC / Hybrid

Contribute to the development of AI-powered products and gain hands-on experience with production ML systems.

Data Science Intern

Duration: 4-8 months
Location: Montreal, QC / Hybrid

Assist with data analysis, model development, and insights generation. Perfect for students with strong analytical skills.

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Our Hiring Process

1. Application Review Our team reviews your application, resume, and portfolio within 1-2 weeks.

2. Initial Screen A 30-minute conversation with our recruitment team to discuss your background and interests.

3. Technical Assessment Role-specific technical evaluation (coding challenge, case study, or research discussion).

4. Team Interviews Interviews with team members and hiring managers to assess technical skills and cultural fit.

5. Final Interview Discussion with leadership team about vision alignment and career goals.

6. Offer We move quickly for candidates we’re excited about, typically within 2-3 weeks of initial screen.

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What We Offer

Compensation & Benefits

• Competitive salary based on experience and market rates
• Equity/stock options in a growing AI company
• Performance-based bonuses
• Comprehensive health, dental, and vision insurance
• Life and disability insurance
• Retirement savings plan with company matching

Work-Life Balance

• Flexible work arrangements (hybrid/remote options)
• Generous vacation policy (starting at 20 days)
• Paid sick leave and personal days
• Parental leave for new parents
• Wellness programs and mental health support

Professional Development

• Annual learning and development budget
• Conference attendance and speaking opportunities
• Access to online learning platforms
• Internal training programs and workshops
• Mentorship programs
• Support for advanced degrees and certifications

Perks & Culture

• Modern office space in Montreal with collaborative areas
• Latest hardware and tools for your work
• Team building events and social activities
• Relocation assistance for out-of-town candidates
• Diverse and inclusive workplace
• Opportunity to work on meaningful AI projects

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Our Values

Innovation First We encourage experimentation, creative problem-solving, and pushing technological boundaries.

Ethical AI We’re committed to developing AI responsibly, with fairness, transparency, and accountability.

Collaboration We believe the best solutions come from diverse teams working together.

Continuous Learning We invest in growth and embrace a culture of curiosity and knowledge sharing.

Customer Impact We measure success by the value we deliver to our clients and their end users.

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Diversity & Inclusion

At Scale360 AI, we believe diverse perspectives drive innovation. We’re committed to building an inclusive workplace where everyone can thrive, regardless of background, identity, or experience. We encourage applications from underrepresented groups in technology and AI.

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Apply Now

Ready to join our team? Send your resume, cover letter, and relevant portfolio/GitHub links to:

careers@scale360ai.com

Include the position title in your subject line.

For general inquiries about careers at Scale360 AI: Phone: +1 (514)-975-8651
Email: info@scale360ai.com
Location: 883 Avenue Ball, Montreal, Quebec, H3N-1J8, Canada

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Don’t See Your Role?

We’re always looking for exceptional talent. If you’re passionate about AI and don’t see a position that matches your expertise, send us your resume anyway. We’d love to hear from you.

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Scale360 AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.