ML Engineer
- Capgemini Technology
- 4 Positions
- Bengaluru
- 8 months ago
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Job Description
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Proven experience in developing machine learning models.
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Expert-level skills in data handling and SQL.
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Hands-on expertise in model engineering and improvement.
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Strong background in deploying and productionizing ML models.
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Extensive experience with machine learning, deep learning, and NLP models across diverse domains.
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Proficient in Python and popular ML libraries/frameworks like scikit-learn, XGBoost, and Keras, with the ability to write clean, efficient, and scalable code.
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Skilled in improving model accuracy through feature engineering, feature selection, and data augmentation.
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Ability to analyze model outputs, identify trends, and iteratively optimize model performance.
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Deep understanding of the complete ML deployment lifecycle, including data preprocessing, model training, optimization, and production integration.
AIML Engineer
Experience: 6 to 12 Years
Location: PAN India
Job Description:
Employement Category:
Employement Type: Full timeIndustry: IT - Hardware / NetworkingRole Category: IT Operations / EDP / MISFunctional Area: Not SpecifiedRole/Responsibilies: ML EngineerContact Details:
Company: Capgemini TechnologyLocation(s): Bengaluru
Keyskills: development learning python deployment sql engneer machine learning engineer deep machine
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Capgemini Technology Services India Limited Capgemini in India is over 85,000 people strong across nine cities (Mumbai, Bangalore, Gurgaon, Noida, Gandhinagar, Hyderabad, Pune, Kolkata and Chennai - Trichy and Salem). A pioneer in the IT industry, Capgemini has over 45 years of global expertise ...
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