AI Engineering Leader
2 weeks ago
Overview:
We are seeking a highly skilled Senior AI Engineer to join our team at CapTalent HR. As a key member of our engineering team, you will be responsible for designing, implementing, and deploying AI solutions that drive business value.
Key Responsibilities:
• Design and implement AI models using Python and various AI libraries to solve complex business problems.
• Develop and apply supervised and unsupervised learning techniques to extract insights from large datasets.
• Work with database technologies to efficiently manage and manipulate data for AI applications.
• Implement Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) solutions utilizing cloud AI services such as Claude and Bedrock.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Evaluate and optimize AI models for performance, accuracy, and scalability.
• Stay abreast of the latest advancements in AI technologies and methodologies to continuously improve the development process.
• Provide technical mentorship to junior team members, fostering a culture of learning and innovation.
• Document processes, methodologies, and best practices for AI development.
Qualifications:
• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent experience).
• 8-10 years of professional experience in AI and machine learning.
• Expert Proficiency in Python and experience with popular AI libraries such as TensorFlow, PyTorch, Pandas, NumPy, Keras or Scikit-learn.
• Strong knowledge of supervised and unsupervised AI learning techniques.
• Expertise in training and retraining AI models.
• Hands-on experience in creating AI prototypes for specific use cases.
• Familiarity with database technologies for data management and analysis.
• Experience implementing LLM and RAG solutions using cloud AI platforms (e.g., Claude, Bedrock).
• Excellent problem-solving skills with a strong analytical mindset.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Proven ability to work collaboratively in a team environment and lead projects to completion.
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