Job description

## Qualifications - The successful candidate will bring a strong understanding of AI/ML technologies, proficiency in developing and deploying AI/ML models in cloud environments like Azure AI, AWS SageMaker, or Google AI Platform, and hands-on experience with machine learning frameworks and libraries - Additionally, the ideal candidate will have experience with natural language processing (NLP) and generative AI models, knowledge of big data tools like Apache Spark or Hadoop, familiarity with microservices architecture, and certifications in cloud platforms (Azure, AWS) or AI/ML tools ## Benefits - We offer a competitive salary, a range of benefits including medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year; and 10 paid holidays per year ## Responsibilities - Collaborate with cross-functional teams to conceptualize, design, and implement AI-powered solutions - Develop and maintain end-to-end software applications using Python and other modern frameworks - Design and implement scalable APIs and backend services for Generative AI applications such as chatbots and data analytics platforms - Leverage cloud platforms (Azure, AWS) to deploy AI models, ensuring secure and efficient integration with on-premises systems ## Full Description About the Role "> We are seeking a highly skilled Technical AI Specialist to join our team of experts in advancing the technological world through innovation and creativity. "> Key Responsibilities "> • Collaborate with cross-functional teams to conceptualize, design, and implement AI-powered solutions. • Develop and maintain end-to-end software applications using Python and other modern frameworks. • Design and implement scalable APIs and backend services for Generative AI applications such as chatbots and data analytics platforms. • Leverage cloud platforms (Azure, AWS) to deploy AI models, ensuring secure and efficient integration with on-premises systems. "> Requirements "> The successful candidate will bring a strong understanding of AI/ML technologies, proficiency in developing and deploying AI/ML models in cloud environments like Azure AI, AWS SageMaker, or Google AI Platform, and hands-on experience with machine learning frameworks and libraries. Additionally, the ideal candidate will have experience with natural language processing (NLP) and generative AI models, knowledge of big data tools like Apache Spark or Hadoop, familiarity with microservices architecture, and certifications in cloud platforms (Azure, AWS) or AI/ML tools. "> Benefits "> We offer a competitive salary, a range of benefits including medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year; and 10 paid holidays per year. "> Why Join Us? "> At HCLTech, we are committed to providing continuous opportunities for growth and development, with transparent communication, learning and career development programs, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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