AI Scientist - Artificial Intelligence / Deep Learning / Machine Learning

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Job description

JOB DUTIES AND RESPONSIBILITIES

- Design, develop, and deliver AI/machine learning enabled solutions for specific industry problems.

- Build scalable, available, and supportable processes to collect, manipulate, present, and analyze large datasets in a production environment

- Articulate problem definition and work on all aspects of data including acquisition, exploration/visualization, feature engineering, and experimentation with machine learning algorithms, deploying models.

- Develop working prototypes of algorithms and evaluate and compare metrics based on the real-world data sets

- Provide design input specifications, requirements, and guidance to software engineers for algorithm implementation for solution/product development.

MINIMUM REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:

- 20 years of professional experience is required

- Degree in applied math, statistics, machine learning or computer science. PhD/ MS is preferred

- Deep understanding of statistics and experience with machine learning algorithms/techniques.

- Proven programming skills, in particular C++ and Python, strong experience with DL frameworks such as Tensorflow, Theano and others

- Scientific expertise and real-world experience in deep learning (convolutional neural networks, restricted Boltzmann machines, and deep neural networks)

- Passion for solving challenging analytical problems

- Ability to quickly qualitatively and quantitatively assess a problem

- Ability to work productively with team members, identify and resolve tough issues in a collaborative manner.

- Experience in applying machine learning techniques to real-world problems in a production environment

BONUS KNOWLEDGE AND SKILLS:

- Publications in the machine learning space is preferred

- Articles on Advance topics in DL, including generating patents and research paper publications in IEEE and likes

- Worked on large-scale, real-world problems in deep learning for a startup or large Enterprise

- Open source contribution in algorithms, libraries and frameworks in DL

- Membership of leading research groups in Deep learning area

- Worked on Distributed computing environment such as Hadoop, Spark etc

- Exposure to NoSQL technologies such as MongoDB, Cassandra

- Impressive publication record in the top scientific journals.

- Passion for data

- Experience with participating and winning Hackathon/Kaggle like competitions in ML/DL areas