Company:
Karkidi
Location: Menlo Park
Closing Date: 21/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
As an MLOps engineer, you will be an integral part of our AI/ML team. You will help this team to streamline the process of getting models from proposed ideas to running in production environments.
Responsibilities
- As an MLOps Engineer, you will be responsible for designing, implementing, and maintaining machine learning infrastructure, pipelines, and workflows.
- Leverage your Python skills to develop and optimize code for machine learning workflows, data processing, and automation scripts.
- Provide support for machine learning tasks, including data pre-processing, feature engineering, model training, and evaluation.
- Utilize your expertise in Azure, GCP, or AWS to manage and optimize cloud infrastructure, ensuring efficient and scalable machine learning workflows.
- Work closely with cross-functional teams including data scientists, software engineers, and DevOps specialists to align MLOps initiatives with business objectives and technical requirements.
- 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.
Qualifications
- Bachelor’s degree in CS or ECE.
- Strong proficiency in Python.
- 4+ years experience in cloud engineering, with expertise in any of the cloud providers viz. AWS, Azure, or GCP
- At least 1 year experience in MLOps, machine learning engineering, or a related role. Production level implementation and deployment for AI/ML use case.
- Experience with Docker, Kubernetes (EKS/AKS/GKE)
- Experience in MLOps tools such as MLFlow, Sagemaker, Kubeflow, etc.
- Strong communication skills and ability to communicate analytical and technical content in an easily understandable way
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