Wipro AI Engineering Job Alerts | Bengaluru

Qualifications

Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience

Mandatory Skills: One or more of the following: 

• Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning  Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka
• Experience: – 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence
• Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets.
• Building scalable machine learning systems and data-driven products working with cross functional teams
• Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud
• Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
• Nice to Have: – Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.

• Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow.
• Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives.
• Help build a high-impact ML/AI team by supporting recruitment, training and development of team members.
• Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels.
• Knowledge & Abilities:
  • Designing integrations of and tuning machine learning & computer vision algorithms
  • Research and prototype techniques and algorithms for object detection and recognition
  • Convolutional neural networks (CNN) for performing image classification and object detection.
  • Familiarity with Embedded Vision Processing systems
  • Open source tools & platforms
  • Statistical Modeling, Data Extraction, Analysis,
  • Construct, train, evaluate and tune neural networks