Chief Machine Learning Engineer

15 hours ago


Dindigul, Tamil Nadu, India beBeeData Full time ₹ 20,00,000 - ₹ 30,00,000
Job Description

As a Lead Data Scientist, you will play a key role in innovating and developing machine learning and data analytics solutions to build our industry-leading map.

You will collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.

  • Design and build process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
  • Build and test analytic and statistical models to improve internal data-driven processes for map-maping data decisions and system control needs.
  • Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
  • Function as a predictive modeling or application team lead on Core Map projects.
Required Skills and Qualifications

MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.

Minimum of 7+ years related professional experience.

Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Expert-level knowledge in one or more of these areas.

Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.

Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.

Programming experience with SQL, shell script, Python, etc.

Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.

Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.

Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.



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