
AI ML Engineer
1 week ago
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 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.
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