Live opening · Posted 19 hours ago

Data Engineer - ML

Scoutit · Bengaluru, Karnataka, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 19 hours ago
CompanyScoutit
LocationBengaluru, Karnataka, India (Hybrid)
Work modeHybrid
SourceLinkedin
ListedPosted 19 hours ago

About the role

Description supplied by the original job listing.

We're looking for Data Engineers!
Responsibilities:
Apply Machine Learning concepts and techniques to address business challenges, interpreting statistical data and identifying relevant features to inform solution development.
Choose appropriate algorithms and evaluate their performance using relevant metrics, ensuring that solutions meet business needs and drive informed decision-making.
Clearly communicate the results of Machine Learning initiatives to stakeholders, providing actionable insights that inform business decisions.
Collaborate with stakeholders to implement Machine Learning techniques that drive business value, selecting and applying relevant methodologies to achieve desired outcomes.
Skills Required:
Familiarity with applying Machine Learning concepts and techniques to address business challenges, including interpreting statistical data and identifying relevant features.
Familiarity working with algorithms, including choosing appropriate algorithms and evaluating their performance using relevant metrics.
Ability to interpret statistical data and identify relevant features to inform solution development.
Exposure to implementing Machine Learning techniques, including collaborating with stakeholders to select and apply relevant methodologies.
Familiarity communicating complex technical results to stakeholders, providing actionable insights that inform business decisions.
(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)

Work arrangement
Hybrid

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