AI Visionary Developer
5 hours ago
Link Group is seeking an experienced Generative AI Engineer to join our team. In this role, you will leverage your expertise in Generative AI, Machine Learning, and Deep Learning to design, develop, and deploy advanced AI solutions that drive business innovation.
About the Role
As a key member of our team, you will be responsible for developing and implementing state-of-the-art Generative AI models using frameworks like TensorFlow or PyTorch. You will work closely with cross-functional teams to ensure seamless integration and deployment of AI solutions. Your primary focus will be on designing and optimizing vector embeddings, performing prompt engineering to enhance AI model outputs, and applying Natural Language Processing (NLP) techniques to solve complex challenges.
Key Responsibilities
- Develop and implement state-of-the-art Generative AI models using TensorFlow or PyTorch
- Design and optimize vector embeddings and perform prompt engineering to enhance AI model outputs
- Apply NLP techniques and frameworks to solve complex challenges
- Collaborate with cross-functional teams to ensure seamless integration and deployment of AI solutions
- Drive the adoption of MLOps/DevOps practices, including continuous integration, deployment, and monitoring of AI models
- Conduct thorough data engineering tasks such as data curation, cleaning, and preprocessing to ensure high-quality datasets for AI projects
- Utilize cloud platforms, particularly Azure, for scalable AI model training and deployment
- Implement and monitor AI models for performance and reliability, ensuring compliance with trusted AI principles
Requirements
- Strong background in Data Science, Machine Learning, and Python programming
- Proficiency in TensorFlow or PyTorch and related frameworks
- Solid understanding of Generative AI and deep learning techniques
- Expertise in NLP and related frameworks such as BERT, GPT, or Transformer models
- Experience with vector embeddings and prompt engineering
- Knowledge of Azure and cloud-based AI solutions
- Excellent problem-solving and analytical skills
- Strong communication and interpersonal skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Bonus Requirements
- Experience with ElasticDB or similar tools for data storage and retrieval
- Proficiency in MLOps/DevOps tools like Docker, Kubernetes, and Git
- Familiarity with monitoring and logging tools for AI model performance
- Track record of driving innovation through AI research and development
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