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Location

Bangalore | India

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Job description

Job Title: Mlops Engineer / Lead
Job Type: Full-Time
Location: Bangalore (Electronic City Only)
Years of Experience: 8-12years
Skill: MLops, Machine Learning, Deep Learning, ML Flow, Kube Flow & AirFlow, Docker, Bigdata Technologies, Hadoop, Hive, Spark, Pyspark, deploying ML Models

JD:

Machine Learning, Deep Learning
Tensor flow,ML Flow, Kube Flow and airflow.
MLDE, Pachyderm'
'•Containerization (Docker) – Experience in working with Docker containers, writing Dockerfile, building images, Docker image versioning & tagging, interacting with Docker engine to manage images & containers. Should have knowledge of installation & administration of container orchestration platforms like Kubernetes, RedHat OpenShift & Rancher.
• Good to have experience in Bigdata Technologies, Hadoop,Hive, Spark,Pyspark.
• Working experience in deploying ML Models.'

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If you are interested, please let me know the following details:
# Your full name ( First : Middle: Last ) ( All expanded ):
# Present Employer Name & Work Location:
# Payroll Company Name:
# Highest Qualification (University Name and Passing year):
# Relevant exp as a Mlops Engineer / Lead(in years):
# Total IT experience:
# Relevant exp in Deep Learning(in years):
# Relevant exp in Machine Learning(in years):
# Current CTC:
# Expected CTC:
# Official Notice Period:
# Are you serving notice period (if yes then mention Last working day):
# Any offer you are holding (if yes please share the offer amount):
# Current location:
# Preferred location:
# Reason for change (Please explain in detail):
#DOB (Date Of Birth):
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Thanks & Regards,

Narayan
Senior Team Leader
Best Infosystems Ltd.
Email: [HIDDEN TEXT]
LinkedIn Link: linkedin.com/in/narayan-kushwaha-27370394

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Salary