Wabtec | Hiring | Senior Data Scientist | BigDataKB.com | 44831

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Job Location: Bangalore/Bengaluru

Roles and Responsibilities

  • Take ownership of model building, deployment under the guidance of Tech lead/Architect.
  • Develop unit, Integration & System test cases/Scripts.
  • Understand working of equipment under field usage conditions.
  • Evaluate available data sources, clean-up and analysis on large data sets.
  • Develop analytics-based algorithms for predicting component health or failures.
  • Develop and maintain a working knowledge of diesel locomotives and its subsystems to ensure data integrity and design relevant solutions.
  • Pre-processing of existing datasets.
  • Research, develop and implement end to end Machine Learning and timeseries analytics solutions for batch and streaming applications.
  • Draw inferences and conclusions, identify trends & anomalies from available data (and create dashboards and visualizations of processed data – optional)
  • Translate analytical insights into actionable recommendations.
  • Collaborate and work closely with required teams to ensure business functionality is delivered on time.
  • Demonstrate expert skills in core data structures and algorithms and implements them using language of choice.
  • Implementing code that meets standards and delivers desired functionality using the technology selected for the project. 

Desired Candidate Profile

  • 6+ Programming Knowledge in Python, C++  
  • 5+ years hands-on experience with ML Algorithms, Deep learning Algorithms, Transfer Learning, OpenCV.
  • 2+ experience in image analytics methods like classification, Object detection & image segmentation and Image Analytics algorithms (Like Yolo, RCNN).
  • Working knowledge on data pipeline Image acquisition & tagging, MVA,  Aggregation  & translation, and Data visualization
  • Predictive Modelling & Analytics and Time Series Analysis
  • Working experience with databases and management SQL..,
  • Knowledge of statistical techniques and probability.
  • Knowledge of MVA scoping, development, testing, integration, and deployment
  • Performance monitoring for deployed ML algorithms.
  • Experience working in any one of the cloud environments (AWS, Azure, GCP) and data processing.

Perks and Benefits

Apply Here

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