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2 days ago
We are seeking an experienced Expert AI Engineer to join our team. As an Expert AI Engineer, you will be responsible for designing, building, and deploying AI models, including Generative AI. You will develop scalable architectures, collaborate with data engineers, and manage the entire lifecycle of AI models from data preparation to deployment and monitoring.
Main Responsibilities:
- Design and implement AI/ML models using various frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Create efficient and scalable architectures for AI systems, ensuring integration with existing data pipelines.
- Work with data engineers to develop robust data pipelines for training and deployment.
- Manage the full lifecycle of AI models: data prep, training, validation, deployment, and monitoring.
- Optimize models for performance, scalability, and accuracy.
- Explore new AI technologies, frameworks, and algorithms to enhance capabilities.
- Contribute to R&D efforts for innovative AI-driven solutions.
Requirements:
- Bachelor's or master's degree in Computer Science, AI, Data Science, or related fields.
- At least 10 years of experience in AI/ML engineering or data science.
- Proven experience deploying AI/ML models in production environments.
- Strong programming skills in Python, R, or Java.
- Expertise with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with NLP, computer vision, or deep learning, including transformers and LLMs (e.g., GPT, BERT).
- Proficiency with database systems (SQL, NoSQL) and MLOps tools (e.g., MLflow, Kubeflow).
- Excellent problem-solving, communication, and collaboration skills.
Benefits:
- Competitive salary.
- Fuel card.
- Health benefits.
- Professional development opportunities.
- An inclusive work culture.
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