• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Dec 2023

Required Qualifications:

- Minimum 5+ years with relevant experience

- Ideal candidate would be full stack and able to flex between front and back-end development for AI solutions

- Must have experience in core Azure services as well as familiarity with Azure Cognitive and Generative AI services

- Strong programming skills: Must have strong programming skills in languages such as Python, Java, and C#. They should be able to write clean, efficient, and maintainable code.

- Data analysis skills:  Comfortable leveraging pretrained models or creating models using AutoML.

- Strong problem-solving skills: Must be able to identify, analyze, and solve complex problems, and be comfortable with uncertainty and ambiguity.

- Understanding of software development principles: Must have a good understanding of software development & devops principles, including version control, testing, and continuous integration and deployment.

- Good communication skills: Must be able to communicate complex technical concepts to non-technical stakeholders and should be able to work effectively in a team environment.

Preferred Qualifications:

- General knowledge of machine learning algorithms: Should possess an understanding of machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning.

- Lead the development and implementation of AI-based automation solutions across the organization, including identifying opportunities for automation, designing, and implementing solutions, and managing the deployment and maintenance of these solutions.

- Work with business analysts and UX designers to understand automation needs and develop solutions that meet business requirements.

- Develop and maintain a deep understanding of the latest AI technologies and trends and provide recommendations for how these can be leveraged to improve the organization's automation capabilities.

- Work closely with the IT department to ensure that automation solutions are integrated with existing systems and infrastructure, and that security and compliance requirements are met.

- Lead the development of best practices and standards for AI-based automation, including data management, model training and deployment, and monitoring and maintenance.

- Provide training and support to business users on how to use automation solutions and ensure that documentation and training materials are up-to-date.

- Monitor the performance of automation solutions and provide regular reports to senior management on their impact on business operations, including cost savings, efficiency gains, and other metrics.

- Contribute to the development of the organization's overall automation strategy, including identifying new areas for automation and making recommendations for investment in new technologies and tools.