Technical Lead for Machine Learning
23 hours ago
We are seeking a highly skilled Senior AI Engineer to lead our team in developing innovative solutions using artificial intelligence and machine learning technologies.
About the Role:
- As an AI Team Lead, you will be responsible for designing, building, testing, and deploying AI-based systems that can automate and optimize business processes.
Responsibilities:
- Provide technical guidance and leadership to a team of AI engineers, data scientists, and developers.
- Attend client interviews and provide the best advice and solutions.
- Collaborate with stakeholders to understand business requirements and translate them into AI solution designs.
- Lead the development and implementation of AI solutions, ensuring high-quality code, scalability, and reliability.
- Work closely with data engineers and data scientists to ensure proper data collection, storage, and preprocessing for AI projects.
- Identify performance bottlenecks and optimize AI models and algorithms for efficiency and accuracy.
- Create and maintain technical documentation, best practices, and guidelines for AI development.
- Stay up-to-date with the latest advancements in AI technologies, tools, and frameworks.
Requirements:
- Understanding of functional design principles, object-oriented programming principles, and basic algorithms.
- Ability to work on a dynamic, research-oriented team that has concurrent projects.
- At least 2 years of experience in formulating and strategizing AI solutions and data modeling.
- Advanced experience in pattern recognition and predictive modeling.
- Expertise in Machine Learning, Deep Learning for Natural Language Processing & Computer Vision, and hands-on experience with OpenAI and HuggingFace Models in Python.
- Extensive knowledge of AI frameworks, libraries, data structures, data training, data modeling, and model deployment architecture.
- Expertise in REST API development.
- Familiarity with Cloud services, i.e., AWS, Google Cloud, etc.
- Knowledge of Machine Learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Programming experience in one or more of the following languages, such as Python and R.
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