Virtusa
AIML Engineer
Job Description
Proficient in end-to-end AIML code development and surely have a very good hands-on NLP, LLM, and Generative AI models including Supervised, Unsupervised, Reinforcement Learning, Deep Learning and Neural networks.
Skilled in conducting thorough AIML code reviews to ensure quality and best practices.
Experienced in deploying AIML code to production environments while ensuring scalability and reliability.
Familiarity with code development, deployment, and testing within the Google Cloud Platform, offering an added advantage.
Capable of designing and implementing ML code execution schedules for efficient and timely processing.
Adept at employing rigorous unit testing methodologies to validate AIML solutions.
Mastery of Python programming, enabling seamless development and optimization of AIML applications.
Committed to collaborating within an Agile methodology, delivering results efficiently and adapting to evolving requirements.
Profound understanding of framework design principles, facilitating the creation of robust and adaptable AIML solutions.
Well-versed in workflow creation, ensuring streamlined processes throughout the AIML development lifecycle.
Lead AIML Strategy: Take charge of designing and implementing overarching AIML strategies, aligning them with business goals and technological advancements.
Advanced Algorithm Proficiency: Exhibit deep expertise in complex algorithms, enabling the development of innovative AIML solutions that push the boundaries of capability.
Technical Mentorship: Provide guidance and mentorship to junior developers, fostering skill growth and maintaining high coding standards within the AIML domain.
Scalable Architecture: Design AIML architectures that are inherently scalable, capable of accommodating increased data volumes and expanding functionalities over time.
Research and Innovation: Stay at the forefront of AIML research and industry trends, incorporating novel approaches and technologies into development processes.
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