Senior Genai Software Engineer

vor 1 Monat

Sydney, Österreich Cognizant Vollzeit

At Cognizant, we're at the forefront of technological innovation, and we're seeking a passionate and skilled Generative AI Software Engineer to join our team. As a Generative AI Software Engineer, you'll play a pivotal role in developing cutting-edge solutions that leverage the power of generative AI to solve complex business problems. You'll work collaboratively with a team of talented engineers to design, build, and maintain robust and scalable generative AI applications.
Responsibilities:

Design and implement cloud-based software architectures using Azure and AWS ensuring best practices and mandatory requirements are met.
Designing and implementing software components that integrate with generative AI models and applications.
Integrating advanced generative AI models, such as large language models (LLMs) and Transformers, to address specific business needs.
Seamlessly incorporating generative AI capabilities into existing or new applications to enhance user experiences and drive innovation.
Continuously evaluating and improving the performance of generative AI models to ensure they meet desired accuracy, efficiency, and scalability standards.
Keeping abreast of the latest advancements in generative AI research and technology to identify opportunities for innovation and improvement.
Working closely with data scientists, machine learning engineers, and product managers to ensure successful delivery of generative AI projects.
Collaborating with architects to define the overall architecture of generative AI solutions, ensuring scalability, performance, and maintainability.
Ensuring code quality: Writing clean, well-structured, and maintainable code that adheres to best practices and coding standards.

Qualifications:

A minimum of 5+ years' experience in Technology services, with strong emphasis on Software Engineering delivery and architecture (Through certifications and/or demonstrable industry experience).
A proven track record in guiding clients through advisory, technology selection, and solutioning, playing an outcome-focused role in leading complex transformation projects.
Strong full-stack development skills: Proficiency in programming languages such as Python, Typescript, Java, or C++, as well as experience with front-end and back-end development frameworks.
Expertise in generative AI: In-depth knowledge of generative AI techniques, including LLMs, GANs, and their applications.
Cloud platform experience: Familiarity with cloud platforms, ideally Azure but AWS experience is also valuable.
Machine learning frameworks: Proficiency in using machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Architectural design skills: Understanding of software architecture principles and ability to contribute to the design of scalable and maintainable systems.
Problem-solving and analytical skills: Ability to analyze complex problems and develop effective solutions.
Excellent communication skills: Strong written and verbal communication skills to effectively collaborate with team members and stakeholders.

Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

You can pursue innovative career tracks and opportunities here.
You can enhance your professional development through education and dedicated training.
We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time hybrid Senior GenAI Software Engineer position.

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