01Responsibilities
-Implement MLOps frameworks for end-to-end ML model lifecycle management.Build maintain data pipelines for training, fine-tuning, and deploying AI/ML models.Integrate and operationalize models using Hugging Face, OpenAI, AWS Bedrock, and similar platforms Optimize and scale data infrastructure for large-scale AI/ML workloads.Evaluate, adopt, and implement best practices for data management, model deployment, and monitoring.Stay aligned with emerging AI/ML tools and technologies to enhance product capabilities.Provide ongoing support, improvements, and troubleshooting for AI/ML implementations.Skill
02Requirements
-Bachelors/Masters in Computer Science, Engineering, Mathematics, or related field from an institute with NRF ranking.2+ years of experience in building ML/AI-driven applications.Strong hands-on experience in Data Engineering, MLOps, LLMs, and Generative AI.Proficiency in Python and experience with ML frameworks :TensorFlow / PyTorchMLflow / KubeflowExperience with Hugging Face, OpenAI, AWS Bedrock, or similar AI platforms.Strong knowledge of Big Data technologies, SQL/NoSQL databases.Familiarity with cloud environments: AWS, Azure, or GCP.Excellent analytical thinking and collaboration skills.Interested candidates can share their resume at niharika.sahu@seventh-contact.com .
