ML/Data Analytics

3 weeks ago

Kolkata, India WTW Full time

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.DescriptionSummary:We are seeking a talented Machine Learning Engineer to develop efficient, data-driven AI systems that enhance our predictive automation capabilities. The ideal candidate will be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large datasets. Additionally, the candidate should be proficient in executing tests and optimizing machine learning models and algorithms.Role:As a machine learning engineer, your primary responsibilities include:Develop and implement data-driven ML predictive models to advance intelligent automation and reportingAssess, analyze, and organize large datasets to extract meaningful insightsExecute tests to validate machine learning models and algorithmsOptimize machine learning models for improved performance and accuracyCollaborate with cross-functional teams to integrate machine learning solutions into existing systemsMonitor and maintain machine learning models to ensure ongoing accuracy and efficiencyResearch and stay updated on the latest advancements in machine learning and ML techniques and applicationsDocument processes, methodologies, and model performance for transparency and reproducibilityTroubleshoot and resolve issues related to machine learning model deployment and operationMentor and provide technical guidance to junior engineers, sharing best practices and fostering a culture of continuous learningQualificationsRequirements:A bachelor's degree or master's degree in computer science, data science, or a related field5+ years of experience in machine learning, data engineering, or software developmentStrong programming skills and proficiency in languages commonly used for ML and related tasksBig Data skills and be proficiency in data structures, modeling, and visualizationProven background in statistical analysis and data analysis to support model training and evaluationExcellent communication skills for working with stakeholders and translating technical conceptsProficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); experience with production-quality codeStrong background in statistics, mathematics, and data scienceExperience with cloud platforms (AWS, GCP, Azure) and deploying ML models at scale is a plus

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