6mo ago

Data and Machine Learning Intern

Data ScienceOtherMachine LearningMachine Learning InternData & AI

6 views0 saves0 applied

Quick Summary

Overview

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…

Key Responsibilities

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.

Technical Tools

airflowawspythondeep-learningetlmachine-learning

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.

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

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.