Machine Learning Engineering Specialist
3 weeks ago
We're looking for a ML/MLOps Engineering Specialist who is experienced in designing and implementing ML applications at scale in production for our ML Engineering team. The team is a cross-functional team and has ML Engineers and AI Engineers, and closely works with data scientists and data engineers in designing, building and operationalizing AI/ML models.
Roles and Responsibilities:
- As a ML/MLOps Engineering Specialist, you will be a key stakeholder and owning responsibility in designing and architecting end to end ML solutions.
- Operationalize ML models, NLP, Computer Vision, and other type of models.
- End to End model lifecycle management, starting from feature extraction to monitor machine learning models using high end tools and technologies.
- Design & implementation of DevOps principles in Machine Learning
- Model quality assurance, governance, and monitoring
- Integrate models as part of business applications via APIs.
- Execute best practices in version control and continuous integration / delivery.
- Collaborate with data scientists, engineers, and other key stakeholders.
- Work well in a fast-paced cross-functional environment
Mandatory Skills/Requirements:
- Experience in implementing machine learning life cycle one of AWS Sage Maker along with other AWS services (Lambda, S3, EKS etc.).
- Experience with Machine learning frameworks, libraries, and agile environments.
- Experience implementing AWS AI services or pre trained models in business applications.
- Experience with various model deployment strategies
- Experience with Python and SQL is must. Understanding of distributed frameworks such as Spark, Dask, Ray etc. is a plus.
- Experience with Snowpark would be plus.
- Experience with version control tools such as Git, Bitbucket etc.
- Knowledge on Docker, Jenkins, Kubernetes, and other DevOps tools.
- Knowledge on Infra-as-a-Code via CloudFormation or Terraform templates.
- Familiarity with Large Language Models and Operationalization of foundation models on cloud platforms will be a plus.
- Outstanding analytical and problem-solving skills.
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