Vilwaa tech enablers

Vilwaa tech enablers cover picture

Vilwaa tech enablers

https://vilwaatech.com

Founded :

2021

Type :

Services

Size :

200-500

Stage :

Profitable

About

N/A

Company social profiles

Jobs at Vilwaa tech enablers

Top MNC

Mlops enigneer

Top MNC

Agency job

via Vilwaa tech enablers by Uma N

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)

7 - 12 yrs

₹10L - ₹25L / yr

Windows Azure

DevOps

MLFlow

MLOps

JD :

• Master’s degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics , Mathematics any quantitative field

• Expertise with object-oriented programming (Python, C++)

• Strong expertise in Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn

• Proven experience in designing and deploying ML systems on cloud platforms (AWS, GCP, or Azure).

• Hands-on experience with MLOps frameworks, model deployment pipelines, and model monitoring tools.

• Track record of scaling machine learning solutions from prototype to production.

• Experience building scalable ML systems in fast-paced, collaborative environments.

• Working knowledge of adversarial machine learning techniques and their mitigation

• Agile and Waterfall methodologies.

• Personally invested in continuous improvement and innovation.

• Motivated, self-directed individual that works well with minimal supervision.

JD :

• Master’s degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics , Mathematics any quantitative field

• Expertise with object-oriented programming (Python, C++)

• Strong expertise in Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn

• Proven experience in designing and deploying ML systems on cloud platforms (AWS, GCP, or Azure).

• Hands-on experience with MLOps frameworks, model deployment pipelines, and model monitoring tools.

• Track record of scaling machine learning solutions from prototype to production.

• Experience building scalable ML systems in fast-paced, collaborative environments.

• Working knowledge of adversarial machine learning techniques and their mitigation

• Agile and Waterfall methodologies.

• Personally invested in continuous improvement and innovation.

• Motivated, self-directed individual that works well with minimal supervision.

Read more

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