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 :Machine Learning

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI technology.
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 the team to understand application requirements.

Design and develop applications based on business process requirements.

Configure applications to ensure optimal performance and functionality.

Test and debug code to identify and resolve any issues.

Collaborate with cross-functional teams to integrate applications with other systems.

Provide technical support and troubleshooting for applications.

Stay updated with the latest industry trends and technologies.

Assist in documenting application design, development, and maintenance processes. Professional & Technical Skills:

Must To Have Skills:Proficiency in Machine Learning.

Strong understanding of statistical analysis and machine learning algorithms.

Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.

Solid grasp of data munging techniques, including data cleansing, transformation, and normalization to ensure data quality and integrity

Creation and validation of test data,and predictive modelling like ANN, Gradient Boosting, and K-NN

Knowledge of Predictive analytics and algorithims Additional Information:

A 15 years full-time education is required.Qualifications15 years full time education