About Company
Are you eager to launch your career in the dynamic world of artificial intelligence and machine learning? Career.zycto offers a vibrant, supportive ecosystem where budding talent like yours can flourish. We are a forward-thinking technology company committed to innovation, leveraging cutting-edge AI solutions to solve complex real-world challenges. For a Machine Learning Assistant, this means direct exposure to diverse projects, mentorship from seasoned experts, and a genuine opportunity to contribute from day one. Join our collaborative team in Singapore and transform theoretical knowledge into practical impact, shaping the future with us.
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Job Description
Career.zycto is on the lookout for a highly motivated and enthusiastic Machine Learning Assistant to join our pioneering team in Bras Basah, Singapore. This entry-level position is tailor-made for recent graduates or individuals at the start of their ML journey, eager to dive deep into the practical application of machine learning concepts. As an ML Assistant, you’ll work closely with our experienced data scientists and ML engineers, contributing to various stages of the machine learning pipeline – from data collection and preprocessing to model training, evaluation, and deployment. This is an unparalleled opportunity to gain hands-on experience with real-world datasets, state-of-the-art tools, and cutting-edge algorithms across diverse projects aimed at solving meaningful problems. We value curiosity, a strong desire to learn, and a proactive approach to problem-solving. You’ll be instrumental in supporting our core ML initiatives, learning best practices, and growing your expertise in a collaborative and intellectually stimulating environment. If you’re passionate about AI and machine learning and ready to make a tangible impact, we encourage you to apply and begin your journey with Career.zycto.
Key Responsibilities
- Assist in the collection, cleaning, and preprocessing of large datasets to prepare them for machine learning models.
- Support senior engineers and data scientists in developing, training, and evaluating various machine learning models.
- Execute and monitor ML experiments, documenting results and insights clearly and concisely.
- Contribute to the implementation and optimization of machine learning algorithms and software solutions.
- Help maintain and update existing ML models and data pipelines.
- Research and stay up-to-date with the latest advancements in machine learning, artificial intelligence, and related fields.
- Collaborate with cross-functional teams to understand project requirements and deliver effective ML-driven solutions.
Required Skills
- Fundamental understanding of machine learning concepts, algorithms, and statistical methods.
- Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, Matplotlib).
- Basic knowledge of data structures and algorithms.
- Familiarity with data manipulation and analysis techniques.
- Strong problem-solving abilities and analytical thinking.
- Excellent communication and teamwork skills.
- A strong eagerness to learn and adapt to new technologies and methodologies.
Preferred Qualifications
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related technical field.
- Experience with deep learning frameworks such as TensorFlow or PyTorch (even through personal projects).
- Familiarity with version control systems, particularly Git.
- Exposure to cloud platforms (e.g., AWS, Azure, GCP) and their ML services.
Perks & Benefits
- Comprehensive health and wellness benefits.
- Mentorship programs and professional development opportunities.
- Access to online courses and workshops to enhance ML skills.
- Dynamic and inclusive work environment in the heart of Singapore.
- Regular team-building events and social gatherings.
- Opportunity to work on impactful and innovative AI projects.
How to Apply
If you are a driven individual with a passion for machine learning and eager to kick-start your career, we want to hear from you! Please prepare your resume and a brief cover letter outlining why you are a great fit for this role. Always encourage applicants to click on the link below to apply for the job.
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