Responsible AI Engineer

Project Role :Responsible AI Engineer


Project Role Description :Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved.

Must have skills :Large Language Models


Good to have skills :NA
Minimum
2 year(s) of experience is required


Educational Qualification :15 years full time education

Summary:As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Large Language Models, deep learning, neural networks, chatbots, and natural language processing.
Roles & Responsibilities:

Design and develop scalable and efficient AI-based applications and systems using Large Language Models, deep learning, neural networks, chatbots, and natural language processing.

Collaborate with cross-functional teams to identify and prioritize AI use cases and develop solutions that meet business requirements.

Implement and maintain AI models and algorithms, and ensure their accuracy, reliability, and scalability.

Develop and maintain AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems.

Stay updated with the latest advancements in AI and machine learning and integrate innovative approaches for sustained competitive advantage.
Professional & Technical Skills:

Must To Have Skills:Experience with Large Language Models.

Strong understanding of deep learning, neural networks, chatbots, and natural language processing.

Experience with AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems.

Proficiency in programming languages such as Python, Java, or C++.

Experience with cloud platforms such as AWS, Azure, or GCP.

Experience with containerization technologies such as Docker and Kubernetes.
Additional Information:

The ideal candidate will possess a strong educational background in computer science, artificial intelligence, or a related field, along with a proven track record of delivering impactful AI-driven solutions.


Qualifications
15 years full time education