Ai Developer

You will collaborate closely with cross-functional teams to understand business requirements, design AI applications that meet user needs, and drive the adoption of AI technologies across our organization. If you are passionate about pushing the boundaries of AI application development, leveraging the power of AI to create transformative solutions, and driving innovation through AI-driven applications. Join us in shaping the future of AI application development and making a significant impact in the world of technology and innovation.
Your future duties and responsibilities:
As a Senior AI/ML Engineer focused on developing AI applications, you will be at the forefront of pushing the boundaries of what's possible. Here are some of the technical duties you can expect to encounter:
Work across a myriad of technology stacks in Azure, AWS, and GCP Deliver against the strategic roadmap for AI and Analytics architectures Ensure best practices and patterns are being implemented for AI &
analytic solutions Coordinate with client teams, engineering teams, and other stakeholders to build- monitor- and maintain a high-performance cloud infrastructure via automation in both production and non-production environments Support client development opportunities Architect and develop complex AI pipelines Stay current on cutting-edge AI techniques Optimize AI models for real-world deployment Contribute to the development of generative AI applications Collaborate with data scientists and software engineers:
Developing robust AI applications requires a team effort. You'll work closely with data scientists to define problems, prepare data, and evaluate models. You'll also collaborate with software engineers to integrate AI capabilities into existing systems and ensure seamless functionality.
Required qualifications to be successful in this role:
Bachelor's or master's degree in data science, computer science, statistics, or a related field 10 + yrs. of experience in designing, developing, and deploying AI/ML and/or data science solutions Proven experience in designing and integrating AI/GenAI with other products. Expertise in AI Application Development:
Proven ability to design, develop, and deploy real-world AI applications. Generative AI Proficiency:
Deep understanding of generative AI models and experience in utilizing them for creative content generation. Machine Learning Mastery:
Strong foundation in machine learning algorithms and frameworks (e.G., TensorFlow, PyTorch).