Data Engineer-AI/ML

As a Data Engineer at our company, you will be an integral part of the Engineering team, focusing on building and maintaining scalable data infrastructure to power AI-driven features in our SaaS product. Your expertise in Machine Learning, MLOps, and Generative AI will be crucial for the success of our projects. If you are enthusiastic about technologies like Hugging Face, OpenAI, and AWS Bedrock, this role presents an exciting opportunity for you! **Key Responsibilities:** - Implement MLOps frameworks for end-to-end ML model lifecycle management. - Build and maintain data pipelines for training, fine-tuning, and deploying AI/ML models. - Integrate and operationalize models using platforms such as Hugging Face, OpenAI, and AWS Bedrock. - Optimize and scale data infrastructure to support large-scale AI/ML workloads. - Evaluate, adopt, and implement best practices for data management, model deployment, and monitoring. - Stay updated with the latest AI/ML tools and technologies to enhance product capabilities. - Provide ongoing support, improvements, and troubleshooting for AI/ML implementations. **Qualification Required:** - Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or a related field from an institute with NRF ranking. - 2+ years of experience in developing ML/AI-driven applications. - Strong hands-on experience in Data Engineering, MLOps, LLMs, and Generative AI. - Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, MLflow, and Kubeflow. - Familiarity with platforms like Hugging Face, OpenAI, AWS Bedrock, and Big Data technologies. - Knowledge of SQL/NoSQL databases and cloud environments like AWS, Azure, or GCP. - Excellent analytical thinking and collaboration skills. If you are passionate about leveraging AI technologies and have the required qualifications and experience, we encourage you to share your resume with us at niharika.sahu@seventh-contact.com. Join us in shaping the future of AI-driven solutions!,