Senior Machine Learning Engineer
Quantiphi (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy end-to-end machine learning pipelines including ML Ops frameworks, CI/CD, and model performance monitoring.
- Work hands-on with computer vision tasks such as image preprocessing, object detection (Faster RCNN, YOLO, SSD), image similarity, and classification using tools like TensorFlow, PyTorch, and OpenCV.
- Collaborate with stakeholders and IT teams to design, develop, and deliver ML/AI solutions across multiple domains adhering to Agile methodologies.
Minimum Requirements
- 4 to 6 years of work experience in machine learning engineering or related roles.
- Proficiency in Python and ML frameworks/tools such as Scikit-Learn, TensorFlow, PyTorch, Keras, OpenCV, XGBoost.
- Experience with ML Ops frameworks for building pipelines, deployment, and monitoring model performance; familiarity with cloud ML services on AWS, GCP, or Azure.
- Notice period must be 0-15 days; preference for immediate joiners; work location in Mumbai, Bangalore, or Trivandrum.
Ideal Candidate Profile
- Experienced in delivering ML projects end-to-end with focus on quality, scheduling, and client satisfaction in collaborative Agile environments.
- Strong exposure to computer vision machine learning techniques and statistical modeling with ability to adapt quickly to new technologies.
- Operates across multiple domains and projects simultaneously, demonstrating multitasking ability and stakeholder communication skills.