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:

• 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.