AI and Machine Learning Developer

About the job

We are seeking a skilled and motivated AI and Machine Learning Developer to advance machine learning initiatives focused on quiz generation and scenario-based knowledge assessments. This role will be responsible for maintaining and enhancing existing ML solutions while contributing to the continuous evolution of the client’s learning and engagement products. The ideal candidate combines strong machine learning fundamentals with hands-on experience in NLP, data pipelines, and model optimization, and is comfortable collaborating with cross-functional product, UX, and content teams. Key Responsibilities: • Design, develop, maintain, and enhance machine learning models for personalized quiz generation and scenario-based assessments. • Build, manage, and optimize data pipelines, including data collection, preprocessing, validation, and feature engineering to ensure high-quality model inputs. • Collaborate closely with educational content creators and subject matter experts to ensure generated quizzes and scenarios are accurate, relevant, and aligned with defined learning objectives. • Work with UX and UI teams to support the development and refinement of interactive, user-friendly quiz and scenario-based experiences. • Monitor, evaluate, and fine-tune existing models to improve accuracy, performance, scalability, and user engagement. • Conduct experiments, including A/B testing, and analyze user behavior and feedback to drive continuous model and product improvement. • Implement best practices for model evaluation, versioning, deployment, and monitoring in production environments. • Stay up to date with advancements in machine learning, NLP, generative AI, and educational technology, and apply relevant innovations to strengthen the platform. Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. • Minimum 3 Years of strong hands-on experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Practical experience in Natural Language Processing (NLP), particularly text generation, classification, or semantic analysis. • Proficiency in Python and experience working with ML-oriented data processing libraries (NumPy, pandas, etc.). • Experience designing and maintaining data pipelines and working with structured and unstructured data. • Familiarity with model evaluation techniques, experimentation frameworks, and A/B testing methodologies. • Understanding of ML model deployment and integration into production systems (APIs, cloud platforms, or MLOps pipelines). • Strong problem-solving skills and ability to work collaboratively in cross-functional teams. • Good communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Requirements

• Machine Learning
• NLP
• Python
• Data Pipelines

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science
• Minimum 3 Years of strong hands-on experience

Preferred Technologies

• Machine Learning
• NLP
• Python
• Data Pipelines