AI ML Engineer
Job Summary
As an AI / ML Engineer a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises solutions to create robust production-ready pipelines. The work often includes applying generative artificial intelligence models to solve complex problems and enhance system capabilities. Additionally the role may involve exploring various domains such as deep learning neural networks conversational agents and image analysis to deliver innovative and efficient solutions that meet project requirements and business goals.
Roles & Responsibilities:
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to ensure seamless integration of AI models into existing systems.- Continuously monitor and optimize AI applications for performance and scalability.
Document technical designs and processes to support knowledge sharing within the team.
Assist junior team members by providing guidance and support to foster their professional growth.
Professional & Technical Skills:
Must To Have Skills: Proficiency in Generative AI.
Experience with designing and deploying AI models in cloud environments and on-premises infrastructure.
Strong understanding of deep learning frameworks and neural network architectures.
Familiarity with building conversational AI systems such as chatbots.
Knowledge of image processing techniques and their application in AI solutions.
Additional Information: - The candidate should have minimum 2 years of experience in Generative AI
Roles & Responsibilities:
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to ensure seamless integration of AI models into existing systems.- Continuously monitor and optimize AI applications for performance and scalability.
Document technical designs and processes to support knowledge sharing within the team.
Assist junior team members by providing guidance and support to foster their professional growth.
Professional & Technical Skills:
Must To Have Skills: Proficiency in Generative AI.
Experience with designing and deploying AI models in cloud environments and on-premises infrastructure.
Strong understanding of deep learning frameworks and neural network architectures.
Familiarity with building conversational AI systems such as chatbots.
Knowledge of image processing techniques and their application in AI solutions.
Additional Information: - The candidate should have minimum 2 years of experience in Generative AI