Mid-Level AI Engineer
jd
mqsrn9et-catalyzu-p962u
====================================
JOB TITLE
====================================
Mid-Level AI Engineer
====================================
DEPARTMENT
====================================
Technology / Product Development
====================================
ABOUT THIS ROLE
====================================
Join CatalyzU as a Mid-Level AI Engineer to develop and enhance our AI-driven Talent Intelligence Platform, powering personalized workforce training and talent placement solutions that transform non-technical talent development across Africa.
====================================
ABOUT THIS ROLE
====================================
You will be instrumental in building scalable AI models and algorithms that analyze skill gaps, personalize learning paths, and optimize job matching for our diverse customer base. Collaborating closely with product, data science, and engineering teams, you will help deliver measurable business impact through innovative AI solutions tailored for workforce development and recruitment.
====================================
WHAT YOU WILL DO
====================================
• Design, develop, and deploy AI models that drive personalized adaptive learning and talent vetting on the Talent Intelligence Platform.
• Collaborate with data scientists and engineers to integrate AI capabilities with real-time performance metrics and business KPIs.
• Optimize algorithms for skill gap analysis, candidate-job matching, and predictive interventions to improve retention and upskilling outcomes.
• Work with product managers to translate business needs into AI-driven features that enhance employer and job-seeker experiences.
• Maintain and improve AI model accuracy, scalability, and efficiency in a cloud-based environment.
• Contribute to the continuous improvement of AI workflows supporting the Sales Success Program and Talent Placement Platform.
• Document AI models, processes, and results to ensure transparency and reproducibility.
• Stay current with AI and machine learning trends relevant to workforce development and recruitment technology.
====================================
KEY RESPONSIBILITIES
====================================
• Develop AI algorithms that personalize training content and predict employee performance risks.
• Enhance talent matching algorithms to improve placement success rates for non-technical roles.
• Collaborate on integrating AI insights with business KPIs to demonstrate training ROI.
• Support continuous data-driven improvements of CatalyzU’s Talent Intelligence Platform features.
• Engage with strategic partners and internal stakeholders to align AI capabilities with market needs.
====================================
WHAT WE ARE LOOKING FOR
====================================
• A proactive AI engineer passionate about applying machine learning to workforce development and talent placement challenges.
• Experience building and deploying AI models in production environments with a focus on personalization and recommendation systems.
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Ability to work cross-functionally with product, data, and engineering teams to deliver AI solutions aligned with business goals.
• Comfort working in a fast-paced startup environment focused on measurable impact and ROI.
• Good understanding of data pipelines, cloud platforms (AWS, GCP, or Azure), and scalable AI infrastructure.
====================================
REQUIRED QUALIFICATIONS
====================================
Education:
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
Experience:
• 3+ years of professional experience in AI/ML engineering roles
• Proven track record of deploying AI models in production
Technical Knowledge:
• Machine learning algorithms and frameworks
• Python programming and data manipulation libraries
• Cloud computing platforms and scalable AI infrastructure
Industry Knowledge:
• Familiarity with workforce development, recruitment technology, or EdTech is a plus
====================================
NICE TO HAVE
====================================
• Experience with natural language processing (NLP) or AI-driven learning management systems.
• Background in workforce analytics, HR tech, or EdTech domains.
• Familiarity with African labor markets or remote work ecosystems.
• Knowledge of AI fairness, ethics, and bias mitigation techniques.
====================================
YOU WILL WORK WITH
====================================
• Product Managers
• Data Scientists
• Software Engineers
• Learning Experience Designers
• Customer Success Teams
====================================
TOOLS & PLATFORMS
====================================
• Python, TensorFlow, PyTorch, scikit-learn
• AWS, Google Cloud Platform, or Azure
• Jupyter Notebooks
• Git and CI/CD pipelines
• Data analytics and visualization tools
====================================
SUCCESS IN THIS ROLE
====================================
• Accuracy and effectiveness of AI-driven personalized learning paths
• Improved talent matching success rates and placement outcomes
• Reduction in skill gaps and employee turnover for employer clients
• Timely delivery of AI features aligned with product roadmap
• Positive feedback from internal teams and external customers on AI capabilities
====================================
WHY JOIN US
====================================
• Be part of a mission-driven company transforming workforce development across Africa
• Work on cutting-edge AI technology with real-world impact on talent and employment
• Collaborate with a diverse, passionate team and global partners
• Opportunity to grow your skills in a fast-scaling EdTech and recruitment platform
• Contribute to closing skill gaps and creating dignified remote work opportunities
====================================
BUSINESS CONTEXT
====================================
Products Supported:
• CatalyzU Talent Intelligence Platform
• Sales Success Program
• Talent Placement Platform
Customers Supported:
• Corporate employers (startups, scale-ups, SMEs)
• Global companies seeking vetted remote talent
• African non-technical professionals in sales, marketing, business development, and customer success
Processes Supported:
• Workforce skill gap analysis
• Personalized adaptive learning delivery
• Talent vetting and job matching
• Performance measurement and ROI tracking
Business Outcomes Supported:
• Closing workforce skill gaps
• Increasing employee retention and performance
• Enhancing training ROI
• Expanding access to global remote work for African professionals
Strategic Alignment:
• Driving AI innovation to enhance personalized workforce training
• Supporting scalable talent placement solutions
• Enabling data-driven decision making for employers and job-seekers
• Aligning AI development with company’s mission and growth strategy
====================================
SKILLS
====================================
Technical:
• Machine learning model development
• Data preprocessing and feature engineering
• Cloud-based AI deployment
• Algorithm optimization
Business:
• Translating business needs into technical solutions
• Understanding of workforce skill gaps and training impact
• Focus on measurable business outcomes and ROI
Communication:
• Clear documentation of AI models and results
• Cross-team collaboration
• Presenting technical concepts to non-technical stakeholders
Leadership:
• Proactive problem-solving
• Mentoring junior engineers (optional)
• Driving AI innovation aligned with company strategy
Course GeneratorTalent Intelligence