On-site
Full Time
Responsibilities:
engineers to deploy ML models into production environments.
integration and delivery of machine learning models.
DVC, MLflow, or similar tools).
deployment using cloud platforms (AWS, Azure, GCP).
performance and reliability requirements in production.
tools such as Docker and orchestration platforms like Kubernetes.
drift in production environments.
testing, and versioning.
performance, or scalability.
and ensure seamless integration with production systems.
and machine learning.
Requirements:
related fields.
model deployment pipelines.
for ML-related tasks.
orchestration platforms like Kubernetes.
model drift and performance tracking.
large datasets.
efficient solutions.
functional teams.
Serving, Seldon, or TorchServe.
like Kubeflow or Apache Airflow.
databases like PostgreSQL, MongoDB, etc.
& Biases, or ModelDB.
learning models.
or Datadog.
Job Types: Full-time, Fresher
Pay: ₹400,000.00 - ₹550,000.00 per year
Benefits:
Work Location: In person
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