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Visionary AI Solutions Architect
9 hours ago
Link Group
Job DescriptionWe are seeking a highly skilled Generative AI Engineer to join our innovative team. In this role, you will utilize your expertise in Generative AI, Machine Learning, and Deep Learning to design, develop, and deploy cutting-edge AI solutions.
Key Responsibilities:
- Develop and implement state-of-the-art Generative AI models using frameworks like TensorFlow, PyTorch, or similar tools.
- Design 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.
- Stay updated with the latest advancements in Generative AI and contribute to innovative research and projects.
Requirements:
- Data science and Machine Learning expertise.
- Proficiency in Python programming and frameworks like TensorFlow or PyTorch.
- Solid understanding of Generative AI and deep learning techniques.
- Strong 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.
Preferred Qualifications:
- 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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