Artificial Intelligence Developer
7 days ago
Job Description:
PBT Group is seeking an Artificial Intelligence Developer to join our team as a Generative AI Architect. As a key member of our AI development team, you will be responsible for designing, developing, and deploying Generative AI models to drive innovation and business value.
Key Responsibilities:
- Design and develop Generative AI models for real-world applications, including text, image, and video generation.
- Implement and fine-tune large language models (LLMs) and deep learning architectures.
- Work with structured and unstructured data to develop innovative AI-driven solutions.
- Collaborate with data engineers and software developers to integrate AI models into production environments.
- Optimise and scale AI models to improve performance, efficiency, and cost-effectiveness.
- Conduct research on emerging AI technologies and stay updated with advancements in Generative AI.
- Ensure compliance with data governance, security, and ethical AI guidelines.
- Present insights and recommendations to business stakeholders through data storytelling and visualisations.
Requirements:
- Experience: Minimum 5+ years of experience in Data Science, AI/ML, or a related field.
- Generative AI Expertise: Hands-on experience with LLMs, GANs, VAEs, and transformer-based architectures.
- Programming Skills: Proficiency in Python, TensorFlow, PyTorch, and OpenAI API.
- Data Engineering & Analytics: Strong understanding of SQL, Spark, and big data processing frameworks.
- Cloud & DevOps: Experience with AWS, Azure, or GCP for AI/ML model deployment.
- MLOps & Model Deployment: Experience with Docker, Kubernetes, and CI/CD pipelines for AI applications.
- Statistical & Mathematical Skills: Solid foundation in probability, statistics, and linear algebra for AI model development.
- Business Acumen: Ability to align AI solutions with business objectives and drive actionable insights.
Preferred Skills & Experience:
- Experience in NLP, Computer Vision, or Speech AI.
- Knowledge of Reinforcement Learning (RL) and Self-Supervised Learning (SSL).
- Understanding of data privacy and AI ethics frameworks.
- Experience with AutoML tools and AI model interpretability techniques.
- Published research or contributions to open-source AI projects is a plus.
- Strong analytical and problem-solving skills.
- Ability to work independently and collaboratively in a dynamic environment.
- Effective communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
- Passion for innovation and continuous learning in AI/ML.
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