Machine Learning Engineer – Remote

About Company Harnessing the power of data to forge innovative solutions, Hiring.zycto is a dynamic force in the tech landscape, specializing in advanced analytics and AI-driven platforms. We believe that true impact comes from empowering brilliant minds to explore, experiment, and revolutionize. For a Machine Learning Engineer, this means an unparalleled opportunity to work on complex, real-world problems, pushing the boundaries of what's possible with cutting-edge algorithms and massive datasets. Join our collaborative, fast-paced environment where your contributions directly shape the future of intelligent systems, making a tangible difference for our global clientele. Job Description Are you a visionary Machine Learning Engineer eager to shape the future from anywhere in Canada? Hiring.zycto is seeking a talented and passionate individual to join our distributed team, driving innovation at the intersection of data science and software engineering. As a Remote Machine Learning Engineer, you'll be instrumental in designing, developing, and deploying scalable machine learning models that power our next-generation products and services. This isn't just about writing code; it's about pioneering solutions that solve complex real-world challenges, from predictive analytics to natural language processing and computer vision. We're looking for someone who thrives in an agile, collaborative environment, capable of transforming raw data into actionable intelligence. You'll work closely with cross-functional teams including data scientists, software developers, and product managers to understand business needs, conceptualize ML-driven solutions, and bring them to life. Your expertise will be crucial in every stage of the ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and continuous improvement in production. At Hiring.zycto, we champion curiosity and continuous learning. You'll have the autonomy to explore new algorithms, experiment with emerging technologies, and contribute to our robust MLOps practices. We pride ourselves on building robust, high-performance systems that deliver real value. If you're excited by the prospect of building intelligent systems that scale, working with diverse datasets, and contributing to a culture of innovation, then this remote opportunity is for you. We value clean code, strong architectural principles, and a commitment to data-driven decision making. Your work will directly impact our clients' success and propel our technological leadership forward. Join us in building the future of AI-powered solutions, all while enjoying the flexibility and autonomy of remote work, allowing you to contribute meaningfully regardless of your physical location within Canada. Key Responsibilities • Design, develop, and deploy production-ready machine learning models and algorithms. • Collaborate with data scientists, software engineers, and product managers to define ML problems and solutions. • Implement and optimize MLOps pipelines for continuous integration, deployment, and monitoring of models. • Conduct extensive data analysis, feature engineering, and model evaluation to ensure optimal performance. • Research and prototype new machine learning techniques and technologies to enhance product capabilities. • Maintain high standards of code quality, reusability, and documentation for ML systems. • Troubleshoot and resolve issues related to model performance, scalability, and data integrity in production. Required Skills • Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn). • Strong understanding of machine learning principles, algorithms, and statistical modeling. • Experience with cloud platforms (AWS, Azure, GCP) for ML model deployment and scaling. • Solid grasp of data structures, algorithms, and software engineering best practices. • Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes). • Experience working with large datasets and distributed computing frameworks (e.g., Spark). • Excellent problem-solving skills and ability to work independently in a remote setting. Preferred Qualifications • Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field. • Experience with natural language processing (NLP) or computer vision (CV) applications. • Contributions to open-source projects or academic publications in machine learning. • Experience with real-time ML systems and low-latency inference. • Familiarity with A/B testing and experimentation methodologies for ML models. Perks & Benefits • Comprehensive health, dental, and vision insurance. • Flexible work schedule and a fully remote work model. • Generous paid time off and holidays. • Professional development opportunities and training stipends. • Home office setup allowance. • Collaborative and inclusive company culture. • Opportunity to work on cutting-edge AI technologies. How to Apply Interested candidates are encouraged to click on the application link below to submit their resume and cover letter. Please highlight your experience with machine learning projects and your ability to thrive in a remote work environment.