Scalable Data Infrastructure Developer

1 week ago

Kolhapur, India beBeeDataEngineer Full time

Data Engineer-AI/ML with Scalable InfrastructureWe're seeking a seasoned Data Engineer-AI/ML to drive the development and maintenance of large-scale data infrastructure.MLOps Frameworks: Design, implement, and oversee end-to-end ML model lifecycle management using scalable frameworks.Data Pipelines: Build and maintain robust data pipelines for training, fine-tuning, and deploying AI/ML models on cloud-based environments.Model Integration: Integrate and operationalize models using Hugging Face, OpenAI, AWS Bedrock, and similar platforms to enhance product capabilities.Infrastructure Optimization: Optimize and scale data infrastructure for large-scale AI/ML workloads to ensure high-performance and reliability.Benchmarking and Best Practices: Evaluate, adopt, and implement best practices for data management, model deployment, and monitoring to improve overall efficiency.Emerging Technologies: Stay aligned with emerging AI/ML tools and technologies to enhance product capabilities and stay ahead of the competition.The ideal candidate will have a Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, or related field from an institute with NRF ranking. A strong passion for AI technologies like Hugging Face, OpenAI, and AWS Bedrock is essential. If you're passionate about building and maintaining scalable data infrastructure and have experience with ML frameworks, big data technologies, SQL/NoSQL databases, and cloud environments, this role could be a great fit for you.We offer a competitive compensation package and opportunities for professional growth and development. As a valued member of our team, you'll have access to cutting-edge technology, collaborative work environment, and innovative projects that push the boundaries of AI/ML.This role offers a unique opportunity to make a meaningful impact on the development of AI/ML solutions and contribute to the growth of our organization. If you're motivated by challenging projects, enthusiastic about AI/ML technologies, and driven to deliver exceptional results, we'd love to hear from you.

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