About the Role:
We are looking for a passionate and experienced AI Engineer to join our team. You will be responsible for designing, developing, and deploying AI and machine learning solutions to solve real-world problems and improve business operations. You’ll work closely with data scientists, software engineers, and product teams to bring AI-powered features into production.
Key Responsibilities:
- Deploy models using cloud platforms (AWS/GCP/Azure) and containerization tools like Docker/Kubernetes.
- Develop, train, and optimize machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
- Design and implement AI-driven applications using frameworks like TensorFlow, PyTorch, or Hugging Face.
- Work with large datasets: data preprocessing, feature engineering, and data augmentation.
- Collaborate with cross-functional teams to integrate ML models into production-ready systems.
- Evaluate and tune model performance using appropriate metrics.
- Stay updated with the latest AI/ML research and apply new techniques to current projects.
- Develop RESTful APIs to serve AI models in production.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Proficiency in Python and ML libraries like Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, etc.
- Experience with NLP, computer vision, or time series modeling is a plus.
- Strong problem-solving skills and ability to write clean, efficient code.
- Familiarity with MLOps tools and CI/CD pipelines for model deployment.
- Knowledge of version control tools (e.g., Git).
Preferred Qualifications:
- Experience with cloud services (AWS SageMaker, GCP Vertex AI, Azure ML).
- Experience with real-time data processing tools (Kafka, Spark).
- Understanding of data privacy, security, and ethical AI practices.
- Contributions to open-source AI projects or research papers are a plus.