
Ai Engineer
5 days ago
Key Responsibilities
- Design, develop, and implement AI/ML models to solve complex business and technical problems.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and workflows.
- Build and maintain scalable data pipelines to collect, preprocess, and analyze large datasets.
- Research, experiment, and apply state-of-the-art AI techniques (e.g., NLP, computer vision, deep learning, reinforcement learning).
- Optimize models for performance, scalability, and real-time inference.
- Monitor and evaluate model performance, ensuring accuracy, fairness, and explainability.
- Develop APIs, services, and tools to make AI models accessible to business applications.
- Stay updated with the latest AI trends, technologies, and best practices.
- Document AI workflows, architectures, and deployment processes for team knowledge-sharing.
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Strong programming skills in Python, Java, or C++.
- Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
- Proficiency in data preprocessing, feature engineering, and working with structured/unstructured data.
- Knowledge of NLP, computer vision, recommendation systems, or generative AI.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Experience in deploying and maintaining ML models in production.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
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