Ai Engineer

Wipro•Louisville, KY

39d

About The Position

Wipro Limited is seeking an AI Engineer to research, design, develop, and modify computer vision and machine learning algorithms and models. This role involves shaping product strategy for applied ML/AI solutions, engaging with customers, and contributing to the growth of a high-impact ML/AI team through recruitment and development. The position also requires serving as an evangelist within the broader ML/AI community.

Requirements

Experience with technologies such as Caffe, Torch, or TensorFlow.
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.
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).
Tableau, Hadoop, Spark, HBase, Kafka.
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 Haves

Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.

Responsibilities

Research, design, develop, and modify computer vision and machine learning algorithms and models.
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.
Designing integrations of and tuning machine learning & computer vision algorithms.
Research and prototype techniques and algorithms for object detection and recognition.
Construct, train, evaluate and tune neural networks.
Develop 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).
Build scalable machine learning systems and data-driven products working with cross functional teams.