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.
Roles and 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
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:
Strong 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.