Live opening · Posted 7 days ago
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About the role
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Company Description AppZime Technologies is a tech-driven company specializing in IT Staff Augmentation, helping organizations build strong engineering teams with speed and accuracy. The company focuses on hiring for niche and high-demand roles such as AI Engineers, Data Engineers, Data Scientists, Full Stack Developers, DevOps Engineers, and Infrastructure Engineers. AppZime also supports specialized domains including MDM Stibo Architects, Sitecore Solution Architects, and Optimizely CMS Developers, backed by structured screening and technical evaluation. Its approach emphasizes pre-screened niche talent pools, senior and specialized hiring, fast turnaround, and accurate role matching for enterprise tech environments. Operating across India, AppZime offers contract and full-time hiring solutions, particularly for AI, data, and MDM-focused roles.
Role Description The AI Engineer role at AppZime Technologies is a full-time, remote position based out of Hyderabad, Ahmedabad, or Indore, focused on designing, developing, and deploying AI solutions for client projects. Day-to-day responsibilities include building and optimizing machine learning models, implementing neural network architectures, and applying pattern recognition techniques to real-world business problems. The AI Engineer will work with NLP and other AI frameworks to build intelligent applications, integrate models into production systems, and collaborate with software development teams to ensure robust, scalable solutions. The role involves researching new AI methods, evaluating tools and libraries, writing clean and maintainable code, and documenting technical designs and experiments. The AI Engineer will also participate in code reviews, contribute to solution design for enterprise environments, and support continuous improvement of AI engineering practices.
Qualifications
Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles.
Hands-on experience with Neural Networks and Pattern Recognition, including building and tuning deep learning models.
Applied expertise in Natural Language Processing (NLP), such as text classification, entity extraction, and language models.
Proficiency in Software Development, ideally in languages commonly used for AI (e.g., Python, Java, or similar), with experience in version control and collaborative development.
Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud or containerized environments is highly beneficial.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.
Ability to work effectively in remote, distributed teams, communicate complex technical concepts clearly, and manage multiple projects and deadlines.
Experience in enterprise AI projects, data engineering pipelines
Work arrangement
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