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Job Location: Bangalore
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It’s not just about your career… or your job title…it’s about who you are and the impact you are going to make on the world. Do you want to go into uncharted waters…do things that haven’t been done to make yours and someone else’s life better? Wabtec has been doing that for decades and we will continue to do so! Through our people, leadership development, services, technology and scale, Wabtec delivers better outcomes for global customers by speaking the language of industry.
- 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.
- Master’s in Engineering in ECE /Computer Science /EEE /IT or in “STEM” Majors (Science, Technology, Engineering and Math).
- Expertise in data modeling tools / programming languages such as Python, scala..,
- Analytical problem-solving techniques.
- Trained and hands-on on machine learning & statistical modeling tools.
- Strong oral / written communication and interpersonal skills.
- 3+ Programming Knowledge in Python, C++
- 2+ 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 experience with databases and management SQL..,
- Knowledge of statistical techniques and probability.
- Knowledge of MVA scoping, development, testing, integration, and deployment
- Working knowledge on data pipeline – Image acquisition & tagging, MVA, Aggregation & translation, and Data visualization
- Performance monitoring for deployed ML algorithms.
- Experience working in any one of the cloud environments (AWS, Azure, GCP) and data processing.
- Draw inferences and conclusions, identify trends & anomalies from available data (and create dashboards and visualizations of processed data – optional)
- Good understanding of software testing process.
- Research, develop and implement end to end Machine Learning and timeseries analytics solutions for batch and streaming applications.
- Knowledge of diesel locomotives and its subsystems to ensure data integrity and design relevant solutions.
- Hybrid AI techniques
- Strong oral and written communication skills.
- Strong interpersonal and influencing skills.
- Effective team building and problem-solving abilities.
- Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies.
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