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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Sr Machine Learning Engineer
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bangalore, India Accel India Full timeSenior Machine Learning (ML) Engineer 25L 40L Company : Series A Accel Company Location: Bengaluru Karnataka Type: FullTime Experience Level: 45 years of experience in machine learning and AI engineering. About the Role We are looking for a Senior Machine Learning Engineer who will design develop and deploy machine learning models to solve realworld...
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Sr Machine Learning Engineer
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bangalore, India Accel India Full timeSenior Machine Learning (ML) Engineer25L 40LCompany : Series A Accel CompanyLocation: Bengaluru KarnatakaType: FullTimeExperience Level: 45 years of experience in machine learning and AI engineering.About the Role We are looking for a Senior Machine Learning Engineer who will design develop and deploy machine learning models to solve realworld problems. You...
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Machine Learning Engineer
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Bangalore, India USEFULBI CORPORATION Full timeKey Responsibilities:- Develop and implement cutting-edge machine learning algorithms for tasks such as pattern recognition, classification, and prediction.- Design and build robust neural network architectures for various applications, utilizing statistical methodologies to analyze data, optimize model performance, and ensure model interpretability.-...
Machine Learning Engineer
2 months ago
Job Title: Machine Learning EngineerExperience : 4+ yearsLocation: Manyata Tech Park, Nagavara, BangaloreJob Details and Requirements:Qualifications:• A master’s or bachelor’s degree in Computer Science or related field from a top university.• 4+ years’ hands-on experience in ML development.• Good fundamentals of machine learning and deep learning• Experienced in backend API design, vector DB.• Strong programming expertise in Python, PySpark/Scala.• Expertise in crafting ML Models for high performance and scalability.• Experience in implementing feature engineering, inferencing pipelines, and real time model predictions.• Experience in ML Ops to measure and track model performance, experience working with MLFlow• Experience with Spark or other distributed computing frameworks.• Experience in ML platforms like Sage maker, Airflow, Kubeflow, TensorFlow/Kears/Pytorch, or other platforms.• Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML.• Expertise in SQL, SQL DB's.• Knowledgeable of core CS concepts such as common data structures and algorithms.• Collaborate well with teams with different backgrounds / expertise / functions.