DATA SCIENCE & ML CURRICULUM DEVELOPER + INSTRUCTOR

About Ironhack Our mission is to be the most outcome-driven institution in the world! We’re a global marketplace for tech talent, where we offer tech bootcamps and partner with companies to impact the lives of our students in a meaningful way.
We empower students to create a new career path in tech, get that next promotion, or start their own company.
Quick facts.
We operate on 8 campuses worldwide We’ve graduated over students We have 140 global team members We’re venture capital-backed   #Why join Ironhack? Our culture is characterized by collaboration, which is the way we roll.
We like to take on challenges with a smile on our face! We work in flat hierarchies with open communication.
Join Ironhack and we guarantee a bootcamp-paced learning experience in a high-growth environment, where we can change the future of education together #About the Role We are seeking an experienced Machine Learning and Data Science Instructor to lead our 9-week ML & Data Science course.
In this role, you will be responsible for designing and teaching a curriculum that aligns seamlessly with the learning objectives of the course.
The curriculum includes topics such as Python, exploratory data analysis, machine learning techniques, deep learning, cloud-based ML solutions, and real-world problem-solving with capstone projects.
# Responsibilities Develop and implement a comprehensive 9-week curriculum covering Python programming, data cleaning, probability, statistics, machine learning, deep learning, and cloud computing.
Create engaging course materials, including lecture slides, lab exercises, and project briefs that maximize student employability.
Foster a deep understanding of data science fundamentals and ethical considerations in data handling.
Instruct students in Python, EDA, machine learning techniques, and deep learning concepts.
Guide students in understanding supervised and unsupervised learning, model evaluation, and hyperparameter tuning.
Facilitate students' journey into specialized areas like NLP or Computer Vision, as per their chosen track.
Lead sessions on MLOps and cloud computing practices to ensure students can deploy ML solutions and manage models effectively.
Evaluate student performance and provide constructive feedback.
Collaborate with fellow instructors and staff to ensure a smooth course operation.
#Must haves Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Proven experience in the practical experience in Data Science and Machine Learning.
Proven experience in developing and teaching technical courses in Machine Learning.
Strong knowledge of Python, data cleaning, probability, statistics, and machine learning techniques.
Familiarity with deep learning frameworks and cloud platforms for ML.
Proficiency in Python, with experience in libraries like Pandas, NumPy, and Scikit-Learn.
Excellent communication skills, both written and oral.
A passion for technology, education, and a dynamic teaching style.
he ability to work independently and collaboratively within a team.
#Nice to Have Fluent oral Spanish is a plus.