Machine Learning Engineer

About the Company: METTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most extensive in the industry. Our products are sold in more than 140 countries, and we have a direct presence in approximately 40 countries. For more information, please visit www.mt.com.

About the Role: We are seeking an ML Engineer to join the Global Finance Carbonation team to design, implement, and maintain classical machine learning models that drive process and system improvements.

Responsibilities:

• Join the Global Finance Carbonation team to design, implement, and maintain classical machine learning models that drive process and system improvements.
• Improve processes/systems with diagnostic analytics, data mining, process mining.
• Execute data analytics, predictive analytics, AI/ML projects.

Qualifications:

• B.E./B.Tech. /BSc. /MSc. (Comp/IT).

Required Skills:

• 2-3 years in Classical ML techniques: regression, decision trees, clustering, ensembles, time series forecasting
• Python programming
• Large datasets handling & end-to-end ML pipelines
• Data collection, cleaning, preprocessing
• Feature engineering

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• Model validation & statistical assessment
• Interpretation & communication of model insights

Shift Timings: 12 - 9 PM (9 hours).

Equal Opportunity Employment

We promote equal opportunity worldwide and value diversity in our teams in terms of business background, area of expertise, gender and ethnicity.