(y)
Min
Max
WEBKNOT TECHNOLOGIES
5-10 y
Onsite
(Bengaluru)
5+ years of development experience, preferably using python, spark and java.
Able to write production level code, which is well-written and explainable.
Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch)
and libraries (e.g., scikit-learn, NumPy, pandas).
Experience with public cloud (e.g., AWS, GCP) l Experience with deployment and
training of Machine Learning models and MLOps tooling (MLFlow, Seldon, etc...).
Proficiency in data manipulation, transformation, and storage techniques using tools
like SQL, Apache Spark, Apache Hadoop, or similar frameworks.
Experience with RESTful API and batch applications.
Experience with full development lifecycle, agile development, using task
management tool like JIRA.
Microservice development and operation experience with Docker and Kubernetes
Awareness about SOTA models in machine learning domain.
Experience working in cross-functional teams, collaborating with data management
tool like JIRA.
Microservice development and operation experience with Docker and Kubernetes
Awareness about SOTA models in machine learning domain.
Experience working in cross-functional teams, collaborating with data scientists,
engineers, and stakeholders to deliver ML solutions.
Job Role
Machine Learning Engineer
Primary Skills
Secondary Skills
Headquartered In
Bengaluru
Industry Type
Software
Company Size
-
Company Stage
-