Machine Learning Engineer

YASH Technologies; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology firm in India is hiring a Talent Acquisition Specialist to focus on machine learning roles. The ideal candidate has a degree in Computer Science and 5-6 years of experience in machine learning model deployment. Skills required include proficiency in Python and a deep understanding of frameworks like TensorFlow and PyTorch. This full-time role emphasizes communication and collaboration in an innovative IT environment.

Qualifications

• 5-6 years of hands-on experience in developing and deploying machine learning models.
• Strong understanding of forecasting & revenue ERP environments.
• Experience with data preprocessing and model evaluation techniques.

Skills

Machine Learning

Python

Data Science

R

Java

TensorFlow

PyTorch

Feature Engineering

Cloud Platforms

Docker

Kubernetes

Education

Bachelor's or Master's degree in Computer Science

Job description

Talent Acquisition Specialist @ YASH Technologies, Hiring across Indore | Bangalore | Pune | Hyderabad

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Skills/Qualifications:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
• 5-6 years of hands-on experience in developing and deploying machine learning models.
• Proficiency in programming languages such as Python, R, or Java.
• Strong understanding of forecasting & revenue ERP environments (e.g.: Salesforce & SAP ECC)
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., Azure & AWS) and containerization tools (e.g., Docker, Kubernetes)
• Excellent problem-solving and critical-thinking skills.
• Effective communication and collaboration skills.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industry: IT Services and IT Consulting

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