AI Engineer

Job Title: AI Engineer – AI-Powered Application Development

Location: Cherlapally
Department: Research & Development
Experience: 2-5 years
Employment Type: Full-time

Job Overview:
We are seeking a highly skilled AI Engineer with experience in building applications leveraging AI and machine learning. The ideal candidate will be responsible for designing, developing, and optimizing AI-driven applications to enhance user experiences, efficiency, and automation.

Key Responsibilities:

Design, develop, and deploy AI-powered applications, focusing on NLP, computer vision, predictive analytics, and automation.
Work with cross-functional teams to integrate AI models into web and mobile applications.
Conduct research and feasibility studies to improve model accuracy, performance, and scalability.
Develop and optimize AI/ML algorithms for real-world applications.
Implement deep learning frameworks (TensorFlow, PyTorch, etc.) for AI-driven solutions.
Perform data preprocessing, feature engineering, and model training to improve application efficiency.
Deploy AI models using cloud platforms (AWS, GCP, Azure) and optimize for real-time inference.
Stay updated with the latest advancements in AI, ML, and deep learning and implement best practices.
Maintain technical documentation, reports, and research findings for future reference.



Required Qualifications & Skills:
Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
2+ years of experience in AI application development, machine learning, or related domains.
Strong proficiency in Python, TensorFlow, PyTorch, and OpenCV.
Experience with AI model deployment, APIs, and cloud-based AI services.
Knowledge of data structures, algorithms, and software development best practices.
Familiarity with big data processing, data engineering, and databases (SQL, NoSQL, etc.).
Understanding of computer vision, NLP, or reinforcement learning.
Strong problem-solving skills and ability to work in a fast-paced R&D environment.

Preferred Qualifications:

Experience in AI-powered chatbot development, recommendation systems, or autonomous systems.
Understanding of MLOps, model monitoring, and continuous integration pipelines.
Knowledge of edge AI, federated learning, or blockchain integration with AI.