Overview

Overall Experience :

6 to 12 years

Job location :

Coimbatore or work from home

Responsibilities :
  • Candidate with 6+ years of experience in a Data Domain and specialization in Design and Architectures for at least 3 yrs in Artificial Intelligence and Machine Learning
  • Very strong experience in Data Scientist
  • Have worked with AI/ML application integration and web hook into ReactJS based application. Knowledge and hands on experience in ReactJS is preferred.
  • Experience with distributed computing systems (AWS, Hadoop, Azure, Google Cloud)
  • Multiple years of experience deploying ML and statistical models into real-world applications – supervises, unsupervised and reinforcement.
  • Familiarity with ML tools like Caffe, pyTorch, TensorFlow, scikit-learn, nltk etc
  • Design, Architect, and maintain large Enterprise solutions on the AI/ Ml platform, monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc) and optimize as needed
  • Design, implement and maintain high performance big data infrastructure/systems, big data processing pipelines scaling to billions of structured and unstructured events daily.
  • Support product with the overall roadmap and ensure updates to senior leadership are 100% technically correct
Required Skill set :
  • Very strong experience in data domain and specialization in Design and Architectures and modelling .
  • Very Strong experience in Machine Learning , Deep Learning and NLP .
  • very strong experience in modelling working closely for product development.
Who you are:
  • Any Degree with IT/Computer Science background.
  • Ready to start immediately.
  • Should be a Self-starter to work with new technologies.
  • Good Communication skills required.
  • Should be able to mentor the Jr Developers.
What we can offer you :
  • Extended health coverage.
  • Stock Option.
  • Monthly and quarterly team building activities (fun ones).
  • Support for professional development.
  • Paid days off.
  • Flexible work schedules and work from home days.
  • Work days – Monday to Friday.
  • A vibrant, young and awesome team to work with!