Sr AI Developer Engineer

Company Description

About Sutherland

Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland
Unlocking digital performance. Delivering measurable results.

Job Description

Job Description: AI Developer/Engineer
Position Overview
We are seeking an experienced and innovative Generative AI Engineer to join our team. In this role, you will design, build, and optimize cutting-edge generative AI models and systems. You will work on applications such as NLP, image synthesis, and other creative AI solutions that enhance user experiences and solve complex problems.
Key Responsibilities
• Design, train, and fine-tune generative AI models, such as GPT, GANs, VAEs, and diffusion models, for various use cases (e.g., text, images, audio, or video generation).
• Collect, preprocess, and manage large datasets to ensure high-quality inputs for model training and evaluation.
• Optimize model performance for scalability, efficiency, and accuracy while addressing issues like bias, fairness, and robustness.
• Collaborate with software engineers to integrate AI models into production systems, ensuring reliability and scalability.
• Stay up to date with the latest research in generative AI and apply innovative techniques to solve business problems.
• Work closely with cross-functional teams, including product managers, designers, and data scientists, to understand user needs and translate them into technical requirements.
• Implement monitoring and evaluation frameworks to track the performance and impact of generative AI solutions in real-world applications.
Qualifications
• Education: Bachelor’s or master’s degree in computer science, Machine Learning, AI.
• Experience:
o Proven experience in building and deploying generative AI models.
o Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
o Strong understanding of NLP, computer vision, or other generative domains.
• Technical Skills:
o Expertise in Python and familiarity with ML libraries.
o Knowledge of cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions.
o Experience with MLOps tools and pipelines for managing model lifecycles.
o Strong problem-solving skills and a creative mindset.
o Excellent communication and teamwork abilities.
o Ability to adapt to fast-paced and dynamic environments.

Qualifications

• Education: Bachelor’s or master’s degree in computer science, Machine Learning, AI.

Additional Information

o Expertise in Python and familiarity with ML libraries.
o Knowledge of cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions.
o Experience with MLOps tools and pipelines for managing model lifecycles.
o Strong problem-solving skills and a creative mindset.
o Excellent communication and teamwork abilities.
o Ability to adapt to fast-paced and dynamic environments.