Machine Learning Engineer (Data Science Engineer)

This opportunity is located in Bangalore, India

We are looking for Machine Learning Engineers/ Data Scientists to join our talented software team in building high performing, low latency, enterprise grade and cloud-based product suite.  You will play a key role in building our innovative product pipeline. Using your deep understanding of modern web architectures and Cloud platforms, programming expertise and operational experience, you will help building successful SaaS products at Pype.

Please join our ML team and work together in breaking barriers and bringing AI to the construction software industry. Applicants should have a strong computer science background with good analytical, problem solving skills apart from good foundations in Machine learning with bent towards NLP/Image Understanding. Working proficiency with Python is mandatory. Knowledge of distributed systems like Hadoop/Spark is a plus.

Roles & Responsibilities

  • Formulate, code and evaluate machine learning models required for the product/application
  • Production deployment with  required optimization, vectorization and system integration
  • Verification/validation and continuous integration of advanced variations
  • Identify/adopt feedback loops to maintain high fidelity data governance across the product portfolios


  • Bachelor’s/Master’s degree in Computer Science or equivalent area from reputed institutes
  • Around 2-6 years of experience in applied or theoretical Machine learning roles in the industry or research institutes
  • Good grasp of Linear Algebra, Probability and Statistics
  • Working knowledge and inclination towards Statistical pattern recognition, Machine learning, Neural Nets, Image Processing
  • Experience with Python/Scikit-Learn/TensorFlow/OpenCV
  • Ability to work with a team in an Agile environment

To apply send your resume to

Pype India Careers

Are you passionate about software engineering and development? Do you love learning about new technology and working in a collaborative environment? Are you enthusiastic about working in a high-growth environment with unlimited personal and professional potential?

We're looking for inquisitive minds to explore, research, and learn as part of our growing, agile company. If you are willing to work hard and assist in building something substantial and of great importance to your company, this may be the right place for you.

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