AI Engineer
1 week ago
Key Responsibilities:
- Design, develop, and train machine learning and deep learning models.
- Experiment with different model architectures to enhance performance.
- Integrate AI models into existing systems and applications.
- Deploy and maintain models in production environments.
- Optimize models for speed, scalability, and cost-efficiency.
- Research and explore new techniques for optimizing Large Language Models (LLMs).
- Collaborate with data engineers, software engineers, product managers, and other teams.
- Clearly communicate technical concepts to non-technical stakeholders.
- Define project requirements and deliverables with cross-functional teams.
- Monitor and improve model performance using feedback and new data.
- Document the development process, models, and algorithms.
- Prepare reports and presentations on project progress and outcomes.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Min 5 years Proven experience in machine learning, deep learning, and AI model development.
- Hands-on experience with AI frameworks like TensorFlow or PyTorch.
- Proficiency in Python; experience in Java, GoLang, or is a plus.
- Experience with training and deploying Large Language Models (e.g., GPT, LLAMA).
- Strong problem-solving and analytical skills.
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