We are looking for an enthusiastic and motivated Machine Learning Engineer to assist in building and deploying machine learning models and data systems. This entry-level role is ideal for candidates eager to apply their technical skills to real-world problems and grow as part of a collaborative team.
Responsibilities
- Assist in designing, training, and optimizing machine learning models.
- Support the development of scalable data pipelines for ML workflows.
- Perform exploratory data analysis and data preprocessing tasks.
- Collaborate with senior engineers and data scientists to implement solutions.
- Test and validate machine learning models for accuracy and efficiency.
- Document workflows, processes, and key learnings..
Required Skills/Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
Technical Skills:
- Basic proficiency in Python and knowledge of libraries like NumPy, Pandas, Scikit-learn, Tensorflow.
- Familiarity with SQL and basic data querying.
- Understanding of foundational machine learning concepts and algorithms.
- Exposure to cloud platforms (e.g., AWS, GCP, Azure) is a plus
Experience: 0-1 years of experience in data engineering or related fields.
Soft Skills:
- Robust analytical skills and the ability to troubleshoot complex issues.
- Leadership skills to guide junior team members and drive team success.
Preferred Skills/Qualifications
Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
Technical Skills:
- Fluent in Scikit-learn, Pytorch and Tensorflow.
- Basic understanding of containerization tools like Docker.
- Exposure to data visualization tools or frameworks.
Experience: 0-1 year
Key Performance Indicators:
- Demonstrate progress in understanding and applying ML concepts.
- Successfully assist in completing ML or data-related tasks within set timelines.