Generative ai engineer
1 month ago
Experience Required: 3+ years.
Location: Bhubaneswar, Odisha
Responsibilities:
1. MLOps Pipeline Development: Design, implement, and maintain robust AI-ML/Gen AI pipelines to facilitate seamless model training, evaluation, deployment, and monitoring.
2. Cloud Infrastructure Management: Utilize your expertise in Azure, GCP, or AWS to manage and optimize cloud infrastructure, ensuring efficient and scalable machine learning workflows.
3. Python Development: Leverage your python skills to develop and optimize code for machine learning workflows, data processing, and automation scripts.
4. Machine Learning Support: Provide support for machine learning tasks, including data pre-processing, feature engineering, model training, and evaluation.
5. Generative AI Understanding: Understanding of generative AI concepts and frameworks such as Langchain, LLama Index, or Open AI, and contribute to projects involving generative models.
6. UI Development and Deployment: Collaborate with UI developers to integrate ML solutions into user interfaces, ensuring seamless deployment and user experience.
7. Collaboration and Communication: Work closely with cross-functional teams including data scientists, software engineers, and Dev Ops specialists to align MLOps initiatives with business objectives and technical requirements.
8. Continuous Learning: Stay updated on the latest trends and advancements in MLOps, cloud computing, machine learning, and generative AI, and apply new knowledge to enhance our AI capabilities.
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