Data and Machine Learning Intern

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🔥 7 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

⚪️ Entry-level

🤖 Machine Learning Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Speak Pharma

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Speak Pharma is a platform dedicated to providing pharmaceutical insights through curated events and webinars. It fosters collaboration and innovation within the global pharmaceutical community by offering high-value learning opportunities and essential knowledge tailored for professional growth. The company emphasizes networking among peers, expert-led sessions, and comprehensive solutions for challenges faced in the pharmaceutical industry.

📋 Description

• 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.

🎯 Requirements

• 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. • Please submit your CV in English.

🏖️ Benefits

• Every other Friday off • Health Bonus • Remote and flexible • Paid sick days and local holidays

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