Data and Machine Learning Intern
Loka, Inc Open · verified Oct 22, 2026 At a glance
Junior Machine Learning Engineering role at Loka, Inc. Colombia.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help build and maintain data pipelines so information stays clean, reliable and available on time
- Bring data from different sources into warehouses, lakes and lakehouses, and help improve ETL workflows
- Clean, check and reshape datasets, then explore them for quality issues and shifts in data distribution
- Develop models and tracking metrics around business goals, and help implement classical ML, deep learning and foundation-model systems
- Review model errors and support client conversations by gathering needs and explaining project deliverables
What you bring
- You are in the final year of a computer science bachelor's degree or a related program
- You can work proficiently in English and know the basics of Python, machine learning and data libraries
- You understand databases and statistical, machine-learning and deep-learning algorithms
- You have worked with visualizing and manipulating large datasets, and bring problem-solving skills
Who this fits
This suits a curious, dependable learner who enjoys collaborative work and can adapt to a fast-moving, globally distributed team. The internship lasts six months and is full-time at forty hours per week. It is remote and flexible, and applicants should submit a CV in English.
From the employer
Duration: Six months
Format: Full time (40 hrs/week), paid
In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world’s Number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer-fighting laboratory. And we did it all while enjoying every other Friday off 😎
As a Data - Machine Learning Intern, you'll gain professional experience supporting Loka’s certified specialists, technical experts and PhDs while elevating your skillset, building a portfolio and launching projects you’re proud of.
The Role
- Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.
- Collaborate with the team to implement and optimize ETL processes.
- Integrate data from various sources into warehouses, data lakes and lakehouses.
- Support data management tasks, including data cleaning, validation and transformation.
- Understand business objectives and develop models that help achieve them, plus metrics to track their progress.
- Implement ML systems using classical ML, DL and Foundation Models following best practices.
- Participate in client communications by helping gather requirements and communicate deliverables.
- Explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance after deployment.
- Identify and analyze model errors.
Required Hard Skills
- Last year of a bachelor’s degree in Computer Science or related
- Proficient in English
- Basic knowledge of Python, ML, and Data libraries
- Basic knowledge of Databases
- Understanding of statistical, ML and deep learning algorithms
- Experience visualizing and manipulating big datasets
- Problem solving
- Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses
Required Soft Skills
- Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack.
- Autonomy and positivity: We’re a fully remote, globally distributed team.
- Teamwork: Enjoy a collaborative approach.
- Adaptability: Operate with a startup mindset and move at a startup pace.
- Dependable: You can be trusted to deliver high-quality work.
Benefits
- Every other Friday off
- Health Bonus
- Remote and flexible
- Paid sick days and local holidays
Please submit your CV in English.