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Title
Text copied to clipboard!Junior Machine Learning Engineer
Description
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We are looking for a Junior Machine Learning Engineer to join our dynamic technology team. In this role, you will work closely with experienced data scientists and engineers to design, develop, and deploy machine learning models that solve real-world problems. As a Junior ML Engineer, you will be responsible for assisting in data preprocessing, feature engineering, model training, and evaluation. You will also contribute to the integration of machine learning models into production systems and help maintain and improve existing solutions.
Your day-to-day tasks will include collaborating with cross-functional teams to understand business requirements, gathering and cleaning data from various sources, and experimenting with different algorithms to achieve optimal results. You will be encouraged to stay up-to-date with the latest advancements in machine learning and artificial intelligence, and to apply new techniques to ongoing projects. Additionally, you will participate in code reviews, write clear documentation, and present your findings to both technical and non-technical stakeholders.
This position is ideal for recent graduates or individuals with a strong foundation in computer science, mathematics, or a related field, who are eager to launch their careers in machine learning. You should be comfortable working with Python and popular ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with data visualization tools and cloud platforms is a plus. We value curiosity, a willingness to learn, and the ability to work collaboratively in a fast-paced environment.
By joining our team, you will have the opportunity to gain hands-on experience with real datasets, contribute to impactful projects, and grow your skills under the mentorship of industry experts. If you are passionate about machine learning and excited to tackle challenging problems, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Assist in data collection, cleaning, and preprocessing tasks.
- Support the development and training of machine learning models.
- Collaborate with senior engineers and data scientists on project requirements.
- Implement and test algorithms using Python and ML libraries.
- Help integrate machine learning models into production environments.
- Participate in code reviews and contribute to technical documentation.
- Monitor model performance and suggest improvements.
- Stay updated with the latest trends in machine learning and AI.
- Communicate results and findings to team members.
- Contribute to the maintenance and optimization of existing ML solutions.
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Mathematics, or related field.
- Basic understanding of machine learning concepts and algorithms.
- Proficiency in Python and familiarity with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with data preprocessing and feature engineering.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment.
- Good written and verbal communication skills.
- Familiarity with version control systems (e.g., Git).
- Knowledge of data visualization tools is a plus.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) is advantageous.
Potential interview questions
Text copied to clipboard!- What experience do you have with machine learning projects?
- Which ML libraries and frameworks are you most comfortable with?
- Describe a time you worked with a large dataset.
- How do you approach debugging a machine learning model?
- What steps do you take to ensure data quality?
- Are you familiar with deploying models to production?
- How do you stay updated with advancements in machine learning?
- Can you explain a machine learning project you contributed to?
- What is your experience with version control systems?
- Are you comfortable working in a collaborative team environment?
