Job highlights
Bachelors in Engineering (Mechanical/ Electrical/ Electronics / Computer science) .
Experience applying AI / ML techniques to solve real-world engineering,reliability,or operational challenges .
Job Summary The Sr Analytics engineer will be responsible for establishing data-driven, model-based and hybrid approaches to implement effective analytical algorithms for RMD and associated products.
Responsibilities
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
Manage projects to completion and share technical knowledge with group
Generate alternative solutions to problems to drive product and process innovation
Communicate technical accomplishments through internal external publications
Qualifications/Requirements
Bachelors in Engineering (Mechanical/ Electrical/ Electronics/Computer science)
Expertise in data modeling tools / programming languages like R, Python
Knowledge of analytical problem-solving techniques
Trained on machine learning statistical modeling tools
Minimum 6+ years of skilled experience in analytics, data science, and predictive modeling, with at least 3+ years of hands-on experience developing and deploying AI/ML solutions
Positive understanding of Project Management Disciplines Six Sigma Methodology
Robust oral / written communication and interpersonal skills
Desired Characteristics
Understanding of Rail, Transportation remote monitoring system
Experience applying AI/ML techniques to solve real-world engineering, reliability, or operational challenges
Exposure to Large Language Models (LLMs), Generative AI technologies, prompt engineering, or AI agents will be an added advantage
Ability to work with remote cross- functional and cross-cultural teams
Knowledge of and exposure to manufacturing and engineering processes
Demonstrated commitment for innovation
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