AI Engineer

Responsibilities:

• Design, develop, and implement end-to-end Generative AI solutions using Microsoft Copilot and Amazon Bedrock, focusing on practical, commercially viable use cases.
• Collaborate with product owners, data scientists, and other engineers to define requirements, design model architectures, and integrate AI models into existing systems and workflows.
• Utilize and fine-tune pre-trained models available through Microsoft Copilot and Amazon Bedrock, as well as other relevant foundation models, for specific business needs.
• Develop and maintain robust data pipelines for training, fine-tuning, and deploying AI models.
• Implement best practices for model evaluation, monitoring, and optimization in a production environment.
• Ensure the scalability, reliability, and performance of deployed AI applications.
• Stay up-to-date with the latest advancements in Generative AI, Microsoft Copilot, Amazon Bedrock, and related technologies.
• Troubleshoot and resolve issues related to model performance, deployment, and integration.
• Contribute to the development of our internal AI/ML MLOps practices and standards.
• Communicate technical concepts and results effectively to both technical and non-technical stakeholders.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience (3+ years) in developing and deploying AI/ML models in a commercial environment.
• Hands-on experience with Generative AI concepts, models (e.g., LLMs, transformers), and their applications.
• Demonstrated experience in building and implementing solutions using Microsoft Copilot and/or Amazon Bedrock.
• Proficiency in programming languages commonly used in AI development (e.g., Python).
• Experience with cloud platforms (Azure and/or AWS) and their AI/ML services.
• Solid understanding of the MLOps lifecycle and experience deploying models to production.
• Experience with API development and integration.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and interpersonal skills.
• Familiarity with other Generative AI frameworks and libraries (e.g., Hugging Face, TensorFlow, PyTorch) would be an advantage.

Interested parties are invited to apply by clicking "Quick Apply" and submitting a full resume, including current and expected salary details.

SmarTone is an equal opportunity employer. All personal data provided will be treated in strict confidence and used solely for recruitment-related purposes. Such data may be transferred to our agents, contractors, or third-party service providers for processing in connection with your application. Only shortlisted candidates will be contacted.

For more information about SmarTone, please visit our website at www.smartone.com.