What are the responsibilities and job description for the MLOps Engineer position at Karkidi?
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
J-18808-Ljbffr
