#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.

#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 gig

We are seeking an expert in Data Science and Artificial Intelligence to join our Education team as a Subject Matter Expert (SME) and/or Lead Teacher for our 1-year Data Science & AI Program. You will be responsible for developing and delivering comprehensive content that covers the latest tools, technologies, and methodologies in data science, machine learning, and AI.

The curriculum spans a range of critical topics, including programming fundamentals, advanced data analytics, machine learning, AI model development, and operationalization in cloud environments. You will guide students through hands-on projects, helping them gain expertise in Python, R, SQL, NoSQL, TensorFlow, PyTorch, cloud services (AWS, Azure, Google Cloud), and more.

Your role is to ensure that the course is both academically rigorous and practically relevant. You will help students build real-world skills, from data wrangling and visualization to deploying AI models and managing machine learning workflows in production. By the end of the program, students will be equipped with the expertise needed for roles in data science, machine learning, and AI, showcasing their abilities through a capstone project that integrates the full spectrum of skills learned throughout the course.

#Responsibilities 
As a Subject Matter Expert, you will be responsible for delivering the following (non-exhaustive):

• Participate in discussions with external stakeholders to understand their needs and define the scope of the bootcamp.
• Create a detailed syllabus for the Data Science and AI bootcamp, outlining learning outcomes, modules to be taught, and assessment methods.
• Develop comprehensive course materials for both self-paced and teacher-led bootcamp sessions, including lessons, projects, and exercises.
• Design practical, real-world projects such as AI-driven applications, data analysis dashboards, and database management systems that align with the bootcamp's learning goals.
• Create tailored project briefs and rubrics to evaluate student projects, ensuring they reflect industry standards and best practices.

If you're also interested in teaching the course, your responsibilities would include:

• Prepare balanced lesson plans that meet the needs of diverse learners, adjusting to ensure students grasp core concepts and addressing challenges in real-time.
• Alternate between teaching in a classroom environment and facilitating pair or group work, providing clear guidance and fostering collaboration.
• Oversee the entire academic experience of the bootcamp, ensuring students are engaged, challenged, and supported throughout.
• Manage Teaching Assistants to enhance student success and contribute to a positive and dynamic learning environment.
• Foster an inclusive and supportive classroom culture that accommodates various learning styles and backgrounds.
• Encourage students to think critically and strategically as they tackle data science challenges, applying their skills to solve real-world problems.
• Collaborate with Program Managers, Project Managers, and stakeholders to ensure students achieve their professional and educational goals.
• Administer assessments and provide timely, constructive feedback to students to help them improve and succeed.

#Must haves

• Experience:
  • At least 5 years of hands-on experience in Data Science, Machine Learning, and AI, with a strong focus on both technical implementation and educational expertise.
  • Proven experience in building and deploying machine learning models, operationalizing AI solutions, and managing large datasets.
• Technical Proficiency:
  • Expertise in machine learning and AI frameworks such as TensorFlow, PyTorch, Scikit-learn, and HuggingFace, with hands-on experience in implementing both supervised and unsupervised learning models.
  • Strong experience in data analysis, preprocessing, and visualization using tools like Pandas, NumPy, Matplotlib, Seaborn, Power BI, and Tableau.
  • Proficiency in programming languages such as Python and R, with extensive knowledge of SQL and NoSQL databases for data storage and management.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) for machine learning operationalization, including containerization and CI/CD pipelines.
  • Familiarity with web development frameworks (FastAPI, Flask) and API integration for deploying AI solutions is a plus.
  • Licenses (not mandatory but a plus):
    • Certifications in data science, machine learning, AI technologies, or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer).
    • Additional certifications in business intelligence tools such as Power BI, Tableau, or Agile project management methodologies are advantageous.
• Educational Background: A degree in Computer Science, Data Science, Information Systems or a related field is preferred.
• Content Creation Experience: Experience in creating content and materials for teaching or training purposes is highly valued. Teaching or training experience in a professional or academic setting is mandatory if you are interested in the teaching role.
• Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex concepts in an easy-to-understand manner.
• Language: Fluent in English

#Our recruitment process

• HR Screening: initial evaluation of experience, qualifications, and role alignment.
• Hiring Manager Interview: in-depth assessment of technical skills and job-specific expertise.
• Case Study/Mock Session: practical test of problem-solving abilities and relevant knowledge.
• Culture Fit Interview: evaluation of alignment with company values and team dynamics.