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Data and Machine Learning Intern Loka, Inc. 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 Engineering 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 . Remote and flexible. Paid sick days and local holidays. Please submit your CV in English.