Bosch Group

AI/ML- Machine Learning Engineer

Job description

Company Description


Job Description

  • Experience with Python data analysis libraries (pandas, sklearn, numpy, scipy, and matplotlib), and Spark MLlib
  • Proficiency with Spark, Hadoop, Kafka, Hive, and SQL
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Solid software engineering skills, with proficiency in Python and experience in providing them as services
  • GIT, Python web framework Web2Py/Django/ Flask
  • Experience with data visualization tools, such as D3.js, GGplot, etc. is a plus
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Model Deployments in Container Platform


Experience :
3-6 years

Qualification : BE / BTech / MS/MTech

3-6 years hands-on industry work experience designing and building large-scale data, machine learning, and analytics applications and pipelines that are well-designed, cleanly coded, well-documented, operationally stable, and timely delivered

  • 3+ years proven experience in software engineering related to AI, ML or Data science
  • Ability to work with teams and individually in a highly dynamic and exciting environment.

Additional Information

  • Great communication skills
  • Good ability to anticipate issues and formulate remedial actions.
  • Sound interpersonal and team working skills.
  • Sound Knowledge of unit testing methodologies and frameworks

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