Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnTensorflow
About the role
- We are looking for an AI Engineer to design, develop, and deploy next-generation AI solutions. This role involves building and optimizing ML/DL/GenAI models, leveraging cloud infrastructure, and implementing modern MLOps practices. You will collaborate with a cross-functional team, contribute to solution architecture, and help shape AI-driven products that deliver real business value.
Requirements
- Develop, train, and optimize ML/DL/GenAI models (NLP, personalization, recommendation, content generation, automation).
- Implement scalable deployment of models using MLOps/AIOps principles.
- Work with cloud platforms (AWS, GCP, Azure) to ensure reliable, cost-effective solutions.
- Maintain high-quality code standards and contribute to best engineering practices.
- Research and integrate emerging AI/ML/GenAI trends into solutions.
- Requirements:
- 3–5 years of experience in AI/ML development.
- Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn.
- Hands-on experience with vector databases, REST API, Docker/Kubernetes, and CI/CD pipelines.
- Ability to lead technical decisions and communicate effectively with team members and stakeholders.