Advanced AI Solutions Architect
12 hours ago
We are seeking a highly skilled Generative AI Solutions Architect to join our team at Link Group. As a key member of our cutting-edge team, you will leverage your expertise in Generative AI, Machine Learning, and Deep Learning to design, develop, and deploy advanced AI solutions.
Key Responsibilities:- Design and implement state-of-the-art Generative AI models using frameworks like TensorFlow, PyTorch, or similar tools.
- Develop and optimize vector embeddings and perform prompt engineering to enhance AI model outputs.
- Apply Natural Language Processing (NLP) techniques and frameworks (e.g., BERT, GPT, Transformer models) 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.
- Strong background in Data Science and Machine Learning.
- Proficiency in Python programming and frameworks like TensorFlow or PyTorch.
- Deep understanding of Generative AI and deep learning techniques.
- Expertise in NLP and related frameworks such as BERT, GPT, or Transformer models.
- Knowledge and experience in vector embeddings and prompt engineering.
- Hands-on experience with Azure for cloud-based AI solutions.
- Familiarity with trusted AI practices to ensure fairness, transparency, and accountability in AI systems.
- Strong problem-solving and analytical skills with the ability to translate business requirements into AI solutions.
- Excellent communication and interpersonal skills for collaboration with stakeholders.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 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.
- Experience with AI pipelines for continuous integration and deployment.
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