About Company
Join a dynamic team committed to leveraging cutting-edge technology for real-world impact. Career.zycto is at the forefront of innovation, building scalable AI solutions that transform industries. We believe in nurturing talent and fostering a collaborative environment where every voice contributes to groundbreaking achievements. As an entry-level Machine Learning Assistant, you’ll find unparalleled opportunities to grow your skills, learn from seasoned experts, and directly contribute to exciting projects from day one. We offer a supportive platform for you to kickstart a rewarding career in machine learning, making your passion for data and algorithms a tangible reality within a forward-thinking organization.
Advertisement
Job Description
Career.zycto is seeking a highly motivated and enthusiastic Machine Learning Assistant to join our innovative team in Singapore. This is an exceptional entry-level opportunity for individuals passionate about artificial intelligence and eager to begin a career in machine learning. As a Machine Learning Assistant, you will play a crucial supporting role in the entire machine learning lifecycle, from data preparation and feature engineering to model training and deployment. You’ll work alongside experienced Machine Learning Engineers and Data Scientists, gaining hands-on experience with real-world datasets and cutting-edge technologies.
Your day-to-day responsibilities will involve assisting with data collection, cleaning, and preprocessing tasks to ensure the quality and readiness of data for model development. You will help in implementing and testing various machine learning algorithms under guidance, and contribute to the maintenance and optimization of existing models. This role is perfect for someone who is a quick learner, detail-oriented, and possesses a foundational understanding of programming and statistical concepts. You will be exposed to practical applications of machine learning, working on projects that have a tangible impact on our products and services. We are looking for a candidate who is proactive, has a strong desire to learn, and can thrive in a fast-paced, collaborative environment. If you’re looking for a launchpad to build a robust career in AI and contribute to meaningful technological advancements, Career.zycto offers the perfect environment for your professional growth.
Key Responsibilities
- Assist in the collection, cleaning, and preprocessing of large datasets to prepare them for machine learning model development.
- Support Machine Learning Engineers in the implementation, testing, and evaluation of various ML algorithms and models.
- Perform exploratory data analysis (EDA) to identify patterns, anomalies, and insights within datasets.
- Contribute to the documentation of data pipelines, model architecture, and experimental results.
- Help monitor the performance of deployed machine learning models and assist with troubleshooting as needed.
- Participate in the feature engineering process, transforming raw data into features suitable for model training.
- Research and stay updated on the latest machine learning trends, tools, and best practices.
- Collaborate with cross-functional teams to understand project requirements and deliver effective ML solutions.
Required Skills
- Basic proficiency in Python programming language.
- Foundational understanding of machine learning concepts and algorithms.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
Preferred Qualifications
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their ML services.
- Knowledge of SQL for database querying.
- Experience with version control systems (e.g., Git).
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness benefits.
- Opportunities for continuous learning and professional development.
- Mentorship from experienced industry professionals.
- Dynamic and collaborative work environment.
- Generous paid time off and public holidays.
- Employee assistance programs.
How to Apply
Interested candidates are invited to click on the application link below to submit their resume and a cover letter detailing their interest in the Machine Learning Assistant role and relevant experience. Please ensure your application highlights any projects or coursework related to machine learning or data science.
Advertisement
