Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)

What is the opportunity? Are you looking for a chance to make a meaningful impact? Do you thrive in environments of rapid innovation and change? Are you passionate about advancing businesses through cutting-edge AI solutions? Join our team at the forefront of technological advancement, where you'll develop applications such as autonomous AI agents that leverage and fine-tune large language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that transform the way we operate and deliver value. This is an opportunity to engage with state-of-the-art AI technologies and gain unparalleled experience in applying machine learning to solve real-world problems. You'll collaborate with a team of talented, passionate individuals who believe that innovative AI solutions are critical to our success.

What will you do?

Design and Develop AI Applications, Create and deploy autonomous AI agents utilizing LLMs and deep learning models. Fine-tune and customize pre-trained models (e.g., GPT-4, BERT, Llama, Qwen) for specific use cases.

Implement Machine Learning Algorithms. Develop and optimize algorithms for natural language processing, computer vision, and other AI domains. Apply transfer learning and reinforcement learning techniques to enhance model performance.

Collaborate Across Teams. Work closely with cross-functional teams to integrate AI solutions into existing products and services. Participate in code reviews, design discussions, and team meetings to foster a collaborative environment.

Operational Excellence. Ensure the scalability, reliability, and security of AI models and systems. Monitor and analyze system performance, addressing any issues proactively.

Continuous Learning and Innovation. Stay current with the latest advancements in AI and machine learning. Experiment with new technologies and methodologies to improve existing solutions.

Mentorship and Knowledge Sharing. Provide guidance and training to team members on AI technologies and best practices. Document processes, design patterns, and technical implementations for future reference.

What do you need to succeed? Must-Have:

Educational Background: Bachelor's or Master's or PhD degree in Computer Science, Engineering, Mathematics, or a related field.

Software Development Experience: Experience in software development with proficiency in Python, Java, or C++. Strong understanding of software engineering principles and practices.

Experience in software development with proficiency in Python, Java, or C++.

Strong understanding of software engineering principles and practices.

Machine Learning Expertise: Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Knowledge of natural language processing techniques and LLMs.

Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.

Knowledge of natural language processing techniques and LLMs.

Model Development and Deployment: Experience in training, fine-tuning, and deploying machine learning models. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for model deployment.

Experience in training, fine-tuning, and deploying machine learning models.

Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for model deployment.

Data Handling Skills: Proficient in data preprocessing, feature engineering, and working with large datasets. Understanding of data privacy and security considerations.

Proficient in data preprocessing, feature engineering, and working with large datasets.

Understanding of data privacy and security considerations.

Collaboration and Communication: Excellent communication skills to articulate complex concepts to technical and non-technical stakeholders. Experience working in agile development teams.

Excellent communication skills to articulate complex concepts to technical and non-technical stakeholders.

Experience working in agile development teams.

Experience with advanced AI knowledge reinforcement learning and autonomous agent development.

Familiarity with computer vision, speech recognition, or recommendation systems.

Certifications in AI/ML or related fields.

Contributions to open-source projects or publications in reputable AI/ML conferences.

Certification from Coursera on Convolutional Neural Networks and Deep Learning Specialization (provide credential IDs).

What's in it for you?

Work on groundbreaking AI projects that have a significant impact on the industry.

Be part of a forward-thinking team that values creativity and innovation.

Opportunities for continuous learning through training, workshops, and conferences.

Mentorship programs and career development plans to help you reach your goals.

Attractive salary and benefits package that rewards your expertise and contributions.

Performance bonuses and recognition programs.

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At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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