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Senior Machine Learning Engineer

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Hybrid

Senior Machine Learning Engineer

Quantiphi Analytics Solutions

Senior Machine Learning Engineer

Skills

Google Cloud PlatformPythonpandasKerasPyTorchTensorFlowMachine LearningAIAWSAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

31 August 2026

What they need


Role: Senior Machine Learning Engineer

Experience Level: 4 to 6 Years

Work location: Mumbai, Bangalore & Trivandrum

Role & responsibilities

  • Hands-on with Python and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc. • Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.

  • Knowledge of statistical modelling and popular machine learning models.

  • Feature engineering, Feature selection/Feature importance, Dimensionality Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking

  • Should possess knowledge of multiple cloud platforms (AWS,GCP,Azure) and machine learning services offered by them.

  • Critical eye for the quality of data and strong desire to get it right.

  • A pleasantly forceful personality and charismatic communication style.

Skills- Required:

  • Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework, model performance monitoring, CI/CD.

  • Ability to multitask and work on multiple engagements related to different domains.

  • Be able to pick up newer technologies in a short span of time

  • Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.

  • Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.

  • Follow Agile standards and methodologies in all phases of the project. • Ensure excellence in delivery to customers

  • Self-driven individuals with a passion for research and development and the zest for solving what matters.

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