About Company
Are you eager to launch your career in artificial intelligence and machine learning? Career.zycto offers a dynamic environment where curiosity is celebrated, and innovation thrives. We are a forward-thinking firm committed to leveraging cutting-edge technology to solve complex problems for our clients. For an Entry-Level Machine Learning Assistant, this means unparalleled opportunities to learn from seasoned professionals, contribute to real-world projects, and rapidly develop essential skills. Join us in Thunder Bay and be part of a collaborative team dedicated to pushing the boundaries of what’s possible in the AI landscape. We invest in our people, fostering growth and providing a clear path for professional advancement.
Job Description
Career.zycto is seeking a highly motivated and intellectually curious Entry-Level Machine Learning Assistant to join our growing team in Thunder Bay, Ontario. This is an exceptional opportunity for a recent graduate or an individual with foundational knowledge in machine learning who is eager to kickstart their professional journey. As a Machine Learning Assistant, you will play a crucial role in supporting our senior data scientists and ML engineers in developing, implementing, and maintaining machine learning models and solutions. You’ll gain hands-on experience with real-world data, contribute to impactful projects, and learn best practices in a fast-paced, collaborative setting. We believe in nurturing talent and providing a clear pathway for skill development and career progression in the exciting field of artificial intelligence. If you’re passionate about data, algorithms, and problem-solving, and are ready to immerse yourself in a challenging yet rewarding environment, we encourage you to apply. This role offers a unique chance to bridge academic knowledge with practical application, making a tangible difference from day one. You will contribute to projects that impact various sectors, gaining exposure to diverse datasets and methodologies, while being mentored by experienced professionals committed to your growth.
Key Responsibilities
- Assist in data collection, cleaning, and pre-processing for machine learning projects, ensuring data quality and integrity under supervision.
- Support the development and implementation of machine learning models and algorithms under the guidance of senior team members.
- Conduct exploratory data analysis and visualize findings to uncover insights and trends that inform model design.
- Help in evaluating model performance, troubleshooting issues, and refining algorithms through iterative testing.
- Prepare comprehensive documentation for models, data pipelines, and project methodologies for knowledge transfer.
- Collaborate with data scientists and engineers to integrate ML solutions into existing systems and applications.
- Stay updated with the latest advancements, research, and best practices in machine learning and artificial intelligence, contributing to continuous learning within the team.
- Participate actively in team meetings, brainstorming sessions, and project reviews, offering fresh perspectives and insights.
- Perform basic scripting and coding tasks, primarily in Python, to support various ML initiatives and automate routine processes.
Required Skills
- Foundational understanding of machine learning concepts and algorithms (e.g., supervised, unsupervised learning).
- Proficiency in Python programming language, including libraries such as NumPy, Pandas, Scikit-learn.
- Basic knowledge of data structures and algorithms.
- Familiarity with data visualization tools and techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- A Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
Preferred Qualifications
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) through academic projects or self-study.
- Exposure to cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
- Experience with version control systems, particularly Git.
- Completion of relevant online courses or certifications in machine learning or data science.
- A portfolio of personal projects demonstrating practical application of ML concepts.
Perks & Benefits
- Comprehensive health and dental benefits.
- Paid time off and holidays.
- Opportunities for professional development and continuous learning.
- Mentorship programs with experienced industry professionals.
- A collaborative and supportive work environment.
- Modern office space with state-of-the-art tools and technologies.
- Company-sponsored social events and team-building activities.
How to Apply
Eager to make your mark in the world of machine learning? We encourage all qualified candidates to apply by clicking on the application link below. Please ensure your resume and cover letter highlight your relevant skills and passion for artificial intelligence.
