AI ML Engineer

Role & responsibilities

• AI/ML Integration: Incorporate machine learning libraries like TensorFlow or PyTorch for personalized learning experiences, predictive analytics, and automated grading.
• Design, develop, and deploy AI/ML models for business applications.
• Analyze large datasets to extract meaningful insights and patterns.
• Integrate AI solutions into existing and new products/ services.
• Optimize models for performance, scalability, and accuracy.
• Stay updated with the latest advancements in AI and apply emerging techniques.
• Conduct research and experimentation to improve existing algorithms.
• Collaborate with frontend teams to integrate AI features using React.js and PWA.
• Ensure seamless integration with PostgreSQL databases.
• Develop and integrate APIs for AI model consumption.

Preferred candidate profile

• Bachelors or Master’s degree in Computer Science, Data Science, AI, or related field.
• 1+ years of experience in AI/ML development.
• Strong understanding of supervised, unsupervised, and reinforcement learning.
• Experience with NLP, computer vision, or recommendation systems.
• Proficiency in data preprocessing, feature engineering, and model evaluation.
• Familiarity with model deployment and monitoring in production environments.
• Experience with generative AI and LLMs.
• Knowledge of MLOps practices.
• Contributions to open-source AI projects.