Data Scientist - Bengaluru, India - Cerentral Consultants
Description
Essential 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, cleanup and analysis on large data sets.
- Develop analyticsbased 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.
- Preprocessing of existing datasets.
- 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.
Qualifications/Requirements:
- 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 problemsolving techniques.
- Trained and handson on machine learning & statistical modeling tools.
- Strong oral / written communication and interpersonal skills.
Technical Expertise:
- 3+ Programming Knowledge in Python, C++
- 2+ years handson 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.
Desired Characteristics:
- 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.
- Knowledge of diesel locomotives and its subsystems to ensure data integrity and design relevant solutions.
- Hybrid AI techniques
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