EliteUS Software Solutions
Website:
eliteus-soft.com
Job details:
Company Description EliteUS Software Solutions specializes in ERP solutions, data analytics, ETL solutions, and Java-based product development and services for diverse industrial sectors. The company supports both national and international clients, offering end-to-end technology solutions. EliteUS provides strategy, implementation, business transformation, and operational services to help clients manage complex business and technology challenges. Team members collaborate closely with clients to deliver scalable, reliable, and efficient software solutions aligned with their strategic goals.
Role Description This is a full-time, on-site Artificial Intelligence Engineer role based in Hyderabad. The Artificial Intelligence Engineer will design, build, and deploy AI models and algorithms to solve complex business problems across various domains. Daily responsibilities include developing and refining machine learning models, implementing pattern recognition and neural network solutions, and integrating these models into production-grade software applications. The role involves collaborating with software development, data engineering, and product teams to define requirements, prepare datasets, and optimize model performance. The engineer will also contribute to research and experimentation in areas such as natural language processing (NLP), maintain documentation, and ensure solutions are scalable, secure, and aligned with client needs.
Qualifications
- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and object-oriented programming.
- Practical experience with Pattern Recognition and Neural Networks for building and deploying machine learning and deep learning models.
- Hands-on expertise in Natural Language Processing (NLP) for tasks such as text classification, information extraction, and conversational interfaces.
- Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn), and programming languages such as Python and Java.
- Experience working with data pipelines, ETL processes, and analytics platforms to prepare and manage training and inference datasets.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Ability to work collaboratively in cross-functional teams, communicate technical concepts clearly, and document solutions thoroughly.
- Experience in enterprise software, ERP, or analytics-driven solutions is an advantage.
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