Chief Artificial Intelligence Architect
4 weeks ago
HyrEzy Talent Solutions provides data management services and solutions for healthcare organizations, helping them to efficiently decommission legacy EHRs and archive patient data securely in the cloud. Our team of experts with decades of experience in Healthcare IT understands the unique needs of each customer, delivering custom solutions with innovative ideas.
Salary Range: ₹30-45 Lacs Per Annum
Job Summary:
As a Lead AI Engineer at HyrEzy Talent Solutions, you will be responsible for designing and developing AI and ML applications and solutions to enhance our products and services. You will leverage your extensive experience in AI, ML, and LLM to work on complex projects and deliver innovative solutions. You will also implement computer vision and natural language processing techniques to improve our offerings and collaborate with cross-functional teams to design and develop AI-driven features and functionalities. In addition, you will utilize APIs, such as Azure Cognitive Search, for knowledge mining and data extraction and stay up-to-date with the latest advancements in AI and ML technologies to contribute to the company's growth through innovative solutions. Finally, you will mentor and provide guidance to junior developers in the team.
Key Requirements:
- Bachelor's degree in Computer Science or a related field; a Master's degree is a plus.
- Minimum 8-10 years of software development experience with a strong emphasis on AI, ML, and LLM, including a minimum of 5 years specifically dedicated to AI and ML projects.
- Certifications in AI from reputable sources, such as Azure or similar.
- Proficiency in programming languages like Python and associated AI and ML libraries and frameworks.
- Experience with computer vision and natural language processing and the ability to apply these techniques effectively.
- Expertise in knowledge mining, utilizing APIs like Azure Cognitive Search or similar.
- Strong problem-solving skills and the ability to analyze complex data sets.
- Excellent communication skills and the ability to work collaboratively with cross-functional teams.
- Demonstrated experience in leading AI and ML projects from concept to production.
- A strong passion for staying current with AI trends and contributing to the field through research and development.
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