Job Description

Do

Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or Tensor Flow.

• 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

Mandatory Skills: One or more of the following:

Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR Tensor Flow, 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.

Education:

BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager

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