About Company
Hiring.zycto is rapidly advancing the frontiers of artificial intelligence, creating solutions that redefine industry standards. We believe in fostering an environment where professional Machine Learning Engineers can truly thrive, tackling complex challenges and seeing their innovations come to life. Joining our dynamic team means contributing to projects that have tangible impact, utilizing state-of-the-art tools, and collaborating with brilliant minds. This is an unparalleled opportunity to shape the future of AI in a supportive, growth-oriented culture within Vancouver’s vibrant tech scene, making it an ideal place for a seasoned professional to make a significant mark.
Job Description
We are seeking a highly skilled and experienced Machine Learning Engineer to join our innovative team in the heart of Vancouver’s tech ecosystem. As a Machine Learning Engineer – Professional, you will be instrumental in designing, developing, and deploying cutting-edge machine learning models that drive our core products and services. You will work on complex, real-world problems, from ideation and research to implementation and production deployment, playing a critical role in shaping our AI capabilities. This position requires a deep understanding of machine learning principles, robust programming skills, and a passion for data-driven problem-solving. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into scalable and efficient ML solutions. If you are a proactive problem-solver with a proven track record of delivering high-quality machine learning systems and thrive in a fast-paced, collaborative environment, we encourage you to apply. This role offers the chance to work with large datasets, advanced algorithms, and state-of-the-art technology to build intelligent systems that deliver significant value.
Key Responsibilities
- Design, develop, and implement scalable machine learning models and algorithms for various applications.
- Perform extensive data analysis, feature engineering, and model training to optimize performance and accuracy.
- Deploy, monitor, and maintain ML models in production environments, ensuring reliability and efficiency.
- Collaborate with data scientists and product teams to define problem statements, gather requirements, and deliver impactful AI solutions.
- Conduct thorough research on new machine learning techniques and evaluate their applicability to our products.
- Develop and maintain robust MLOps practices, including CI/CD pipelines for ML models, version control, and model governance.
- Provide technical leadership and mentorship to junior engineers, contributing to a culture of continuous learning and improvement.
Required Skills
- 5+ years of professional experience in Machine Learning Engineering.
- Proficiency in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of machine learning algorithms, statistical modeling, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Solid software engineering fundamentals, including experience with version control (Git) and MLOps principles.
- Excellent problem-solving skills and ability to work with complex datasets.
- Strong communication and collaboration skills.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
- Experience with big data technologies (Spark, Hadoop) and data warehousing solutions.
- Familiarity with specific domains such as natural language processing, computer vision, or recommendation systems.
- Proven track record of deploying and managing production-grade ML systems at scale.
- Experience contributing to open-source ML projects or presenting at conferences.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible work arrangements.
- Opportunities for professional development, conferences, and certifications.
- Dynamic and inclusive work environment with a strong focus on innovation.
- Modern office space in a vibrant part of Vancouver, easily accessible by public transit.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and a cover letter detailing their relevant experience and interest in this role. Please highlight your specific achievements in machine learning model development and deployment.