Principal Data Scientist

Position Description:

The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies by enabling sophisticated A.I. algorithms for a variety of business problems. Additionally, the group is also involved in creating a rich and diverse IP portfolio within Artificial Intelligence, Machine Learning and Big Data

The AIML group is looking for Data Scientists / A.I. Engineers with the capability to build internet-scale A.I. driven solutions. As a data scientist, you will be involved in using state of the art machine learning algorithms to solve challenging high-impact business problems. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.

Some of the attractive pluses of the job are:

The opportunity to work with a world class team of talented data scientists with strong background in machine learning, and who are extremely passionate about solving real-world applied problems in the various business domains.

A real opportunity to expand your skill-sets and a chance to learn and use the latest advances and approaches in A.I. on real world datasets

Working in a fast-paced work-environment where you are expected to be self-motivated and are measured on your performance.

Job Responsibilities

Ability to deliver cutting-edge, production-grade A.I. solutions in NLP/Machine-Vision around a host problem statements for various domains.

Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on A.I solutions.

Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership.

Work and collaborate with other teams to deliver and create value for clients

Fast learner: ability to learn and pick up a new language/tool/ platform quickly

Conceptualize, design and deliver high-quality solutions and insightful analysis

Experience Required:

Proven experience in developing NLP/Machine-vision solutions leveraging deep-learning architectures.

Expertise and knowledge of latest research/progress in NLP/Machine-Vision research community.

Expert level proficiency in torch/tensorflow or similar deep-learning frameworks.

Expert level proficiency in python or similar programming language.

Experience in working with Linux computing environment and exposure to multiple open-source data-processing/data-science tools.

Ability to discover efficient solutions to complex problems. Strong skills in data-structures and algorithms.

Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modelling, insights and visualizations

Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those

Intermediate to advanced knowledge of machine learning, probability theory, statistics and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.

Good to Have:

Experience in distributed processing frameworks (Hadoop/Spark/etc), NoSQL DB’s (MongoDB etc), container orchestration (Docker, Kubernetes)

Experience in cloud-based data-processing (GCP/Azure/AWS)

Experience in building/deploying on production systems

Education Qualification

PhD preferred

B.Tech / M.Tech in Computer Science or related fields from one of the premier Institutes (IITs/NITs/BITS)

Please feel free to reach me for any queries.