Forward Deployed Engineer

Project Role : Forward Deployed Engineer Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education

Summary:

As an AI / Machine Learning 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 AI models and exploring various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities, fostering innovation and efficiency in delivering intelligent systems. AI Powered Tech Talent

Roles & Responsibilities:

• Expected to perform independently and become a subject matter expert.
• Required active participation and contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with team members to enhance the design and functionality of AI applications.
• Assist in troubleshooting and resolving technical challenges encountered during development and deployment.
• Support junior team members by sharing knowledge and providing guidance on project tasks.
• Continuously update skills and knowledge to stay current with emerging AI technologies and methodologies.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Python (Programming Language).
• Strong experience in developing and deploying AI and machine learning models.
• Familiarity with cloud platforms and their AI service offerings.
• Knowledge of deep learning frameworks and neural network architectures.
• Ability to design and implement scalable application pipelines for production environments.