About Company
Seeking to kickstart your career in artificial intelligence? Career.zycto offers a vibrant, supportive ecosystem where emerging talent in Machine Learning thrives. We’re a pioneering force, committed to democratizing AI solutions and fostering innovation through hands-on experience. Join our collaborative team in the historic Old Port of Montreal, where you’ll contribute to cutting-edge projects, refine your technical skills, and directly impact our product’s success. This is an ideal environment for a Junior Machine Learning Support professional eager to learn, grow, and build a foundational career in a dynamic tech firm. We value inquisitive minds and a passion for practical problem-solving.
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Job Description
This role is perfect for an aspiring technologist eager to dive into the practical applications of machine learning and contribute to real-world AI solutions. As a Junior Machine Learning Support professional at Career.zycto, you will play a crucial role in ensuring the smooth operation and optimal performance of our AI-driven products and services. Working closely with our senior ML engineers, data scientists, and product teams, you will assist in troubleshooting issues, monitoring system health, and contributing to the continuous improvement of our machine learning models and infrastructure. Your daily tasks will involve addressing user queries related to ML functionalities, diagnosing and resolving technical problems, escalating complex issues to appropriate teams, and meticulously documenting solutions to build a comprehensive knowledge base.
You will have the unique opportunity to gain hands-on experience with real-world machine learning deployments, learning best practices in model monitoring, data pipeline management, and system integration. This position is not just about reactive support; it’s an entry point into understanding the full lifecycle of an ML project, from initial data ingestion and feature engineering to model training, deployment, and ongoing maintenance. We are looking for someone with a foundational understanding of machine learning concepts, excellent problem-solving skills, and a strong desire to learn and grow within a fast-paced, innovative environment. You will be instrumental in maintaining the integrity and reliability of our ML systems, directly impacting user satisfaction and business continuity. If you’re passionate about AI and eager to contribute to a team that values collaborative problem-solving, continuous development, and making a tangible impact, we encourage you to apply.
This role requires a blend of technical acumen, analytical thinking, and strong communication skills. You will often be the first point of contact for internal and external stakeholders regarding ML-related issues, requiring clarity, patience, and precision in your interactions. We expect you to be a proactive learner, constantly updating your knowledge of ML techniques, tools, and industry best practices, and translating complex technical information into understandable insights for non-technical users. This is a chance to build a solid career foundation in the rapidly expanding field of machine learning, working with cutting-edge technologies and making a tangible impact on our product’s reliability and user satisfaction. Career.zycto is dedicated to fostering talent, providing mentorship and resources to help you accelerate your professional journey, all within the vibrant tech hub of Old Port, Montreal.
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Key Responsibilities
- Provide first-line technical support for machine learning models and AI-driven products.
- Monitor the performance and health of ML systems and data pipelines.
- Diagnose and troubleshoot issues related to model predictions, data discrepancies, and system failures.
- Collaborate with senior ML engineers and data scientists to resolve complex technical problems.
- Document solutions, FAQs, and common issues to build and maintain a comprehensive knowledge base.
- Assist in data validation and basic data pre-processing tasks.
- Escalate unresolved issues to the appropriate internal teams (e.g., development, data science).
- Communicate effectively with users and stakeholders to understand problems and provide timely updates.
- Participate in testing new ML features and model deployments.
- Contribute to the continuous improvement of support processes and tools.
Required Skills
- Foundational understanding of machine learning concepts (e.g., supervised, unsupervised learning, common algorithms)
- Proficiency in Python programming
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy)
- Basic understanding of SQL
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills in English
- Ability to learn new technologies quickly
- Experience with command-line tools and basic scripting
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their ML services
- Experience with version control systems (e.g., Git)
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch)
- Understanding of MLOps principles or model monitoring tools
- Bilingualism (English and French) is a strong asset for the Montreal location
- Prior internship or project experience in a data science or ML-related role
Perks & Benefits
- Competitive salary and performance-based bonuses
- Comprehensive health, dental, and vision insurance
- Generous paid time off and holidays
- Opportunities for professional development and continuous learning (courses, certifications)
- Mentorship program with experienced ML professionals
- Flexible work arrangements (details discussed during interview)
- Vibrant office located in the historic Old Port of Montreal
- Team-building events and social activities
- Access to cutting-edge tools and technologies
- Contribution to innovative and impactful AI projects
How to Apply
Interested candidates are invited to submit their detailed resume and a cover letter outlining their interest in machine learning support and relevant experience. Please click on the application link below to apply directly through our platform. Ensure your application highlights your technical skills, problem-solving abilities, and enthusiasm for this entry-level role. We look forward to reviewing your application!
