
Chief AI Architect
5 days ago
We are seeking a skilled and innovative AI engineer to design, develop, and deploy AI and machine learning solutions to solve complex business problems.
The ideal candidate will work closely with cross-functional teams to integrate AI models into products and services, ensuring scalability, performance, and accuracy.
Key Responsibilities:
- Design, build, and deploy AI/ML models for real-world applications.
- Preprocess and analyze large datasets to derive meaningful insights.
- Collaborate with software engineers, data scientists, and product teams to integrate AI capabilities.
- Optimize model performance, scalability, and maintainability.
- Research and implement cutting-edge AI algorithms and frameworks.
- Maintain clear documentation for AI workflows, model training, and deployment processes.
- Monitor and fine-tune deployed models to ensure accuracy and relevance.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Strong proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Experience with NLP, computer vision, or predictive analytics projects.
- Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML deployment.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Hands-on experience with data preprocessing, feature engineering, and model evaluation.
- Strong problem-solving skills and ability to work independently.
Preferred Qualifications:
- Experience in large language models (LLMs) or generative AI.
- Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Exposure to big data tools like Spark, Hadoop, or Databricks.
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