Analyst - Data Science

Infosys is seeking a Data Science Analyst with machine learning and Python experience. Ideal candidate will work on productionizing machine learning models and guide development team for implementing end to end machine learning use case. One will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. The candidate will provide technology consulting for defining right Data Science and ML use cases. You will contribute to the development and deployment of innovative Analytics and AI solutions.

Required Qualifications

• Candidate must be located within the commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US.
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• All applicants authorized to work in the United States are encouraged to apply.
• At least 2 years of experience in Information Technology
• Proven experience in Python and Data Science
• Experience in developing and implementing algorithms to automate data cleaning, normalization, and enrichment processes
• Understanding the key metrics for validation of the models such as such as mAP, F1-score, and IoU.
• Ability to write clean and reusable code that can be easily maintained and scaled

Preferred Qualifications:

• Familiarity with cloud platforms (AWS, GCP, Azure).
• Stay up-to-date with the latest research and advancements in AI, Image processing and Computer Vision
• Familiarity with deep learning frameworks (PyTorch, TensorFlow) including OpenCV.
• Strong communication and Analytical skills
• Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
• Experience and desire to work in a global delivery environment

The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.