Focus- A skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions. The ideal candidate will have a strong background in machine learning, deep learning, and NLP, along with experience in cloud platforms and productionizing models.
Key Responsibilities:
1. Develop and optimize machine learning models for classification, regression, NLP and computer vision tasks.
2. Implement and fine-tune deep learning architectures using frameworks like TensorFlow, PyTorch, or Hugging Face.
3. Deploy models to production using MLOps (Machine learning Operations) best practices, including Docker, Kubernetes.
4. Collaborate with data engineers, software developers, and business stakeholders to integrate AI solutions into applications.
5. Monitor and maintain deployed models, ensuring they remain effective and scalable.
6. Stay updated with the latest trends in AI research, frameworks, and tools

Keyskills: MLops Ml Deployment Ml Pipelines kubernetes Automation Deploying Models docker
Innodata is a global digital services and solutions company. Our technology and services power leading information products and online retail destinations around the world. Our solutions help prestigious enterprises harness the power of digital data to re-imagine how they operate and drive performan...