Data Engineer/ML Engineer

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GlobalLogic, Inc.
Algorithms, Analytics, Apache Flink, Apache Hadoop, Apache Kafka, Apache Spark, Artificial intelligence, Data mining, Data collection, Data modeling, Data analysis, Cloud, D3.js, NoSQL, Python, JavaScript, PyTorch, Visualization
Full Time
Depends on Experience

Job Description

Job Description:

  • Support ML projects from strategy through implementation and on-going improvements.
  • Perform data collection, analysis, validation, cleansing, developing software in support of multiple machine learning workflows, integrating / deployment of code in a large-scale production environments and reporting.
  • Designs, codes, tests, debugs, and documents ML code - models, ETL processes, SQL queries, and stored procedures.
  • Extracts and analyzes data from various structured and unstructured sources, including databases, files, data lakes and external APIs/websites.
  • Responds to data inquiries from various groups within client’s organization.
  • Requires experience with relational databases, document databases (NOSQL) and knowledge of query tools and/or statistical software.
  • Responsible for other duties/projects as assigned by business management / leadership.


Job Responsibilities:

  • Experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting
  • Experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance.
  • Experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.
  • Experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and Onpremise environments
  • Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.)
  • Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations.
  • Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects.
  • Expertise with scaling pilot machine learning solutions to a large scale production environment
  • Expertise with visualization tools such as PowerBI, D3JS etc.
  • Excellent written and verbal communication skills.



  • Bachelor's or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Company Information

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending the benefits of our true global presence to customers in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries. If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (
Dice Id : RTL65472
Position Id : 7169826
Originally Posted : 2 months ago

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