Job Details

We are seeking a talented and motivated AI Developer to join our team. The ideal candidate should have a solid understanding of machine learning, neural networks, and natural language processing. Familiarity with the AI development process, from problem definition to solution implementation, is crucial.

Pay rate: $130/hr

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.

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Duties and Responsibilities:
Design and Develop AI Systems: Create machine learning and deep learning models to solve specific business problems.
Run Experiments: Conduct tests and experiments to validate the effectiveness of AI models.
Implement Algorithms: Apply appropriate AI/ML algorithms to address various challenges.
Data Transformation: Convert data science prototypes into production-ready models.
Collaborate: Work with other teams to design AI prototypes and integrate AI applications into company platforms.
Maintain Systems: Ensure AI applications are up-to-date and perform as required.
Research: Stay updated with the latest AI technologies and methodologies to implement innovative solutions.
Skills and Qualifications:
Programming Proficiency: Strong knowledge of programming languages such as Python, Java, or R.
Machine Learning Expertise: Understanding of machine learning frameworks and libraries.
Data Science Knowledge: Ability to work with large datasets and perform statistical analysis.
Problem-Solving Skills: Ability to translate business problems into AI solutions.
Communication Skills: Effectively explain AI concepts to non-technical stakeholders.