We are seeking a motivated and innovative AI Engineer with 1–3 years of hands-on experience in developing, deploying, and optimizing AI/ML models. The ideal candidate should have strong fundamentals in machine learning, deep learning, and data engineering, with practical experience in real-world AI applications.
This role involves working closely with data scientists, software engineers, and business teams to build scalable AI-driven solutions.
Key Responsibilities
- Develop, train, and deploy machine learning and deep learning models.
- Work with large datasets to build predictive and generative AI systems.
- Implement NLP, computer vision, or recommendation systems based on project needs.
- Optimize and fine-tune models for performance and scalability.
- Collaborate with cross-functional teams to translate business requirements into AI solutions.
- Deploy AI models using cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
- Work with AI frameworks like TensorFlow, PyTorch, and tools like Scikit-learn.
- Build APIs and integrate models into production environments.
- Ensure model monitoring, retraining, and performance tracking.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
- 1–3 years of hands-on experience in AI/ML development.
- Strong proficiency in Python.
- Experience with data manipulation libraries (NumPy, Pandas).
- Understanding of supervised & unsupervised learning algorithms.
- Experience with REST APIs and backend integration.
- Familiarity with Git version control.
- Basic knowledge of MLOps and CI/CD pipelines.
Preferred Skills
- Experience with Large Language Models (LLMs).
- Knowledge of Generative AI applications.
- Exposure to Docker and Kubernetes.
- Experience in model deployment and monitoring.
- Understanding of data preprocessing and feature engineering.
