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Machine Learning Engineer @ Experis

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 Machine Learning Engineer

Job Description

Position: Machine Learning Engineer

Company: Wipro

 Job Type:  Permanent

Notice Period: Immediate Joiner

 Experience: 7+ Years 

Location: PAN India
Job Summary:We are seeking a Machine Learning Engineer with strong experience in building and deploying ML models across supervised and unsupervised learning techniques. The role involves working on structured and unstructured data, developing scalable solutions, and applying advanced analytics.
Key Responsibilities:

  • Build and implement supervised and unsupervised machine learning models for classification, regression, and clustering.
  • Perform exploratory data analysis (EDA), feature engineering, and data preprocessing.
  • Train, validate, and optimize models using standard evaluation metrics.
  • Develop deep learning and NLP models for structured and unstructured datasets.
  • Utilize Python-based frameworks and libraries for model development and deployment.

Primary Skills:

  • Strong experience in EDA, feature engineering, and data preprocessing
  • Hands-on experience in supervised and unsupervised learning
  • Expertise in classification, regression, XGBoost, Random Forest, and clustering techniques
  • Experience in deep learning and NLP
  • Proficiency in Python and libraries/tools: PySpark, PyTorch, Scikit-Learn, TensorFlow

Secondary Skills:

  • Exposure to Generative AI, LLMs, and Agentic AI
  • Experience with AWS cloud services

Preferred Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Science, or related field
  • Strong problem-solving and analytical skills

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Machine Learning
Employement Type: Full time

Contact Details:

Company: Experis
Location(s): Hyderabad

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Keyskills:   Machine Learning PyTorch NLP XGBoost Python EDA Generative AI PySpark Feature Engineering Regression Clustering LLM Scikit-Learn Deep Learning Random Forest Classification AWS TensorFlow

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Experis

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