About Company
Looking to kickstart your journey in artificial intelligence? Career.zycto is a dynamic and innovative firm at the forefront of leveraging data to drive intelligent solutions across various sectors. We believe in nurturing talent and providing a fertile ground for budding professionals to thrive. For a Machine Learning Assistant, this means direct exposure to real-world projects, mentorship from seasoned experts, and the chance to contribute meaningfully from day one. Join a collaborative environment where curiosity is celebrated, continuous learning is encouraged, and your foundational work directly impacts our mission to solve complex challenges through cutting-edge ML technologies. It’s an ideal place to build a robust career.
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Job Description
Career.zycto is seeking an enthusiastic and highly motivated Machine Learning Assistant to join our growing team in the vibrant University District, St. Andrew. This entry-level position is perfect for a recent graduate or an aspiring professional eager to dive into the exciting world of artificial intelligence and machine learning. As a Machine Learning Assistant, you will play a crucial role in supporting our senior ML engineers and data scientists in developing, deploying, and maintaining cutting-edge machine learning models. You’ll gain hands-on experience with real-world datasets, model training, evaluation, and deployment pipelines.
This role offers an unparalleled opportunity to learn from experienced professionals, contribute to impactful projects, and build a strong foundation for a successful career in AI. We are looking for someone with a solid grasp of foundational programming concepts, a keen interest in data science, and an eagerness to embrace new challenges. You will be instrumental in assisting with data preparation, feature engineering, model testing, and documentation, ensuring the integrity and performance of our ML solutions. If you are a proactive problem-solver with a passion for innovation and a desire to make a tangible difference, we encourage you to apply and grow with us. We value curiosity, a collaborative spirit, and a commitment to continuous learning.
Key Responsibilities
- Assist in the collection, cleaning, and preprocessing of large datasets to prepare them for machine learning model training.
- Support senior ML engineers in developing and evaluating various machine learning models and algorithms.
- Perform exploratory data analysis to identify patterns, anomalies, and insights.
- Contribute to the documentation of machine learning models, methodologies, and experimental results.
- Write and maintain scripts for data pipeline automation and model testing using Python.
- Collaborate with team members to troubleshoot issues and optimize model performance.
- Research and stay up-to-date with the latest advancements in machine learning techniques and tools.
- Participate in team meetings, brainstorming sessions, and project planning activities.
Required Skills
- Proficiency in Python programming for data manipulation and scripting.
- Basic understanding of machine learning concepts (e.g., supervised, unsupervised learning, regression, classification).
- Familiarity with data manipulation libraries like Pandas and NumPy.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication skills.
- Ability to work effectively both independently and as part of a collaborative team.
Preferred Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch (even through academic projects).
- Familiarity with version control systems (e.g., Git).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn).
- Prior internship or project experience in a data science or machine learning role.
Perks & Benefits
- Competitive salary and performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Paid time off and public holidays.
- Mentorship program with experienced ML professionals.
- Opportunities for continuous learning and professional development (courses, conferences).
- Modern office environment with state-of-the-art tools and technologies.
- Vibrant and inclusive company culture.
- Employee wellness programs.
How to Apply
Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in the Machine Learning Assistant role. Please click on the application link below to apply for the job.
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