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Machine Learning Researcher
3 months ago
Candidate will be responsible for the following :
- Develop and maintain scalable and efficient AI pipelines and infrastructure for deployment.
- Deploy AI models and solutions into production environments, ensuring stability and performance.
- Ensure the security and compliance of deployed AI systems with industry standards and regulations.
- Provide technical support and guidance for deployment-related queries and issues.
Qualification, Experience, and skills :
Must-haves :
- 4 to 10 years' experience, with at least past few years working in Generative AI and MLOps (Must)
- Knowledge of (and potentially working experience with) LLMs and Foundation models from OpenAI, Google, Anthropic and others
- Hands on coding experience in Python.
- Prior work experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using serverless architecture
- Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI
- Prior experience with containerization tools (for ex., Docker, Kubernetes), databases (for ex., MySQL, MongoDB), deployment tools (for ex., Azure DevOps), big data tools (for ex.,Spark).
- Ability to develop and integrate APIs.
- Experience with RESTful services.
(ref:hirist.tech)