Responsible AI Monit & Comp Practitioner

Posted:
9/19/2024, 7:15:24 PM

Location(s):
Rajasthan, India ⋅ Jaipur, Rajasthan, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning

Project Role : Responsible AI Monit & Comp Practitioner
Project Role Description : Share risk expertise and support deliverables compliant with regulations. Support service delivery through quality and risk management. Increase awareness of compliance policies and processes. Support efforts to improve operational effectiveness by executing risk management and quality policies, procedures, and initiatives within a project.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an Devops for applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Roles & Responsibilities: - Explore and implement deep learning, neural networks, chatbots, and image processing. - Collaborate with cross-functional teams to deliver high-quality AI projects. - Tracking of multiple models, experiments for auditing purpose - Collaborate with data scientists for hyper parameter tuning and features maintenance - Model management and versioning - Work with infra team, data scientists, business in establishing artifact lineage, model registry, governance - Assist in testing, automated deployment - A pipeline for triggering retraining to detect model drift or data drift, trigger retraining - Working knowledge of AWS Lambda, Sagemaker, AWS Step Functions Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations. - Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines - Work with business, data scientists to ensure value realization, ROI on operationalization of models - Strong understanding of statistical analysis and machine learning algorithms. - Containerization, packaging of ML models - Endpoint creation for prediction - Experience with data visualization tools such as Tableau or Power BI. - Hands-on experience implementing various machine learning algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - A 15 years full-time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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