AIML Ops Engineer
AIML Ops Engineer
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Job Description
JD for AI/ML Ops engineer
Roles & responsibilities:
Design and implement automated machine learning pipelines for data processing model training and deployment
Develop and maintain cloud (Azure) infrastructure for machine learning models in production
Monitor and optimize machine learning models for scalability performance and reliability
Implement and manage continuous integration and delivery pipelines for machine learning models
Collaborate with data scientists and ML engineers to ensure smooth integration of models to production environment
Develop and maintain tools for monitoring logging and debugging machine learning models
Stay uptodate with the latest research and technology advancements in the field of machine learning operations.
Skills and Experience
7 Years of relevant experience in Design and implementation of ML Ops solutions on cloud (preferably Azure)
Experience with machine learning frameworks such as TensorFlow or PyTorch
Expertise in programming languages such as Python or Java
Experience in deployment technologies such as Kubernetes or Docker
Strong understanding of machine learning algorithms large language models and statistical modeling.
Experience in Azure cloud platform and Azure ML services.
Adapt to emerging trends tools and best practices in MLOps specific to large language models such as new model compression techniques pipeline automation and monitoring solutions to ensure efficient and scalable LLM implementations
Strong analytical and problemsolving skills
Experience in working with Agile methodology
Excellent communication and collaboration skills
Employment Type
Full Time
