We are seeking a talented and innovative AI Engineer .The ideal candidate will be responsible for designing, developing, deploying, and maintaining AI-powered applications and machine learning solutions that drive business innovation and operational efficiency.
Key Responsibilities
- Design, develop, and deploy AI and machine learning models for business applications.
- Build, train, evaluate, and optimize machine learning and deep learning models.
- Develop and integrate AI solutions using Python and leading AI/ML frameworks.
- Create and consume RESTful APIs to integrate AI services with enterprise applications.
- Work with structured and unstructured data to develop predictive and generative AI solutions.
- Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable AI solutions.
- Optimize model performance, accuracy, and scalability.
- Deploy AI models using cloud platforms and containerization technologies.
- Monitor, troubleshoot, and maintain AI applications in production.
- Stay updated with the latest advancements in artificial intelligence, machine learning, and generative AI technologies.
Required Qualifications
- 3–7 years of experience in AI, Machine Learning, or Data Science.
- Strong proficiency in Python.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with Large Language Models (LLMs), Generative AI, and prompt engineering.
- Knowledge of Natural Language Processing (NLP) and computer vision is an advantage.
- Experience with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) is preferred.
- Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Experience with REST APIs, Docker, Git, and CI/CD pipelines.
- Strong understanding of SQL and NoSQL databases.
- Familiarity with Agile/Scrum development methodologies.
- Excellent written and verbal communication skills in English.
Skills: machine learning,learning,cloud