[ref. b26901617] GenAI Specialist - Government client(Confidential) New - Dubai

Eligibility: This position is open to UAE Nationals only

The ideal candidate will bring technical expertise, creativity, and a passion for innovation to drive impactful projects.

• Develop and fine-tune generative AI models, such as large language models (LLMs) and GANs, for specific use cases.
• Research and implement advanced techniques in AI, including transfer learning, reinforcement learning, and multimodal AI.
• Design and optimize model architectures to enhance performance, scalability, and efficiency.
• Collaborate with cross-functional teams to integrate GenAI solutions into applications and systems.
• Build and maintain pipelines for data collection, preprocessing, and annotation to support model training.
• Conduct experiments to evaluate model performance and implement continuous improvements.
• Stay up to date with advancements in GenAI research and tools, incorporating them into projects as appropriate.
• Ensure compliance with ethical AI standards and address bias in datasets and model predictions.
• Create detailed documentation of methodologies, findings, and best practices for internal and external stakeholders.
• Provide mentorship and technical guidance to team members working on GenAI projects.

Qualifications:

Education: (Education qualifications listed below will be considered but are not required)

• Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field.

• 3+ years of experience in developing generative AI solutions or working with large-scale machine learning models.
• Proven track record of deploying AI models in production environments.

• Proficiency in machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face).
• Expertise in natural language processing (NLP), transformers, and multimodal AI.
• Experience with large-scale datasets and distributed computing frameworks (e.g., Spark, Dask).
• Strong programming skills in Python and familiarity with libraries like NumPy, pandas, and Scikit-learn.
• Knowledge of cloud platforms and AI infrastructure (e.g., AWS SageMaker, Google Cloud AI).
• Familiarity with MLOps practices for model deployment, monitoring, and management.

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Creative thinker with a passion for pushing the boundaries of AI.
• Ability to manage multiple tasks and adapt to a fast-paced environment.

If this sounds like the right next step in your AI career, Apply Now!