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Artificial Intelligence Machine Learning

Bengaluru, Karnataka
Posted: 12 February, 2019

Job Descriptoin

Define, direct and implement the adoption and scaling of Machine Learning across Digital Harbor's software engineering teams. We are looking for a talented, experienced, and passionate Machine Learning expert who will grow and direct software engineering teams in the development of insights that drive customer behavior by leveraging practices like Recommender Systems, Anomaly Detection, Natural Language Processing, Machine Vision, Collaborative Filtering, Clustering, Classification, Regression, Deep Learning, and/or Statistical Modelling.

Our mission is to help knowledge workers gain insight into their information and workflows. We believe that all computer users can become competent knowledge workers in order to accomplish their enterprise goals. We are also obsessed with leveraging Artificial Intelligence, Business Intelligence, and Collaborative Intelligence (AI + BI + CI) to enable new classes of customer solutions.

End-to-end hands-on ownership of machine learning systems that are deployable across various projects, including data pipelines, model generation, and training and inference engines.
Quick Proof of Concept (POC) project ownership around projects that need Deep Learning, Collaborative Filtering, Clustering or Unsupervised learning, mixed with traditional approaches. POCs should result in rich and deep learning experiences that can be applied to real-world projects.
Algorithm development and model enhancements around innovative research areas that Digital Harbor is focusing on. This requires keeping up with--and leading--the latest AI developments in the industry.
Create and manage a team of Artificial Intelligence software engineers and grow this team over time.

Strong background in one or more of: Deep Learning, Machine Learning, Natural Language Processing, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence
Strong experience using one of the following open-source frameworks: TensorFlow, MXNet, Theano, Keras, Jupyter and Caffe
Present a past AI-based project with success and failure stories from real customers. Show examples lessons learned and a clear interest and passion in applying experience into new projects.
Strong hands-on coding expertise with C/C++, Python, Scala, Lua, MATLAB, or any proficient AI language of choice
A mathematical, statistical, and probability inclination and deep understanding of AI concepts
A sense of ambition and passion to change the world using AI and Deep Learning
Master degree with 6+ years working experience, or a PhD with 3+ years working experience, or Bachelor degree with 8+ years of applied machine learning experience. Degree preferred but not required if candidate possesses the equivalent applied machine learning experience and expertise.
Instahyre - 30+ days ago

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