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Date posted:  Jan 11, 2021

Bengaluru, KA, IN

Job Function:  Other
Job Type:  Permanent
Job Requisition ID:  5593

Senior Data Engineer, Machine Learning - Digital Productional Production

About the Unit


Being the world's leading crop nutrition company, Yara is also the world's largest producer of ammonia, nitrates, and NPKs. Our Production segment is thus an integral building block for delivering on our mission -- with a clearly stated ambition to become world-leading on metrics such as safety, environmental footprint, quality, and production costs. Long term, the target is the "Plant of the Future" with zero emissions, and low CAPEX/OPEX. Building on a lean transformation, we are now ramping up our focus on digital solutions to help us achieve this ambition.

To lead this effort, we have established a global unit called Digital Production. The success of Digital Production and its solutions is a key priority for Yara, and we plan to significantly grow our efforts within this field. In this context, we are currently looking for forward-leaning and enthusiastic leaders to help us build our team and execute on our ambition.

About the Role


A critical focus area for Digital Production is to leverage the vast quantity of data generated as part of our operations. We are building products that help us optimize our production, increase the quality of our products, reduce our emissions, increase the safety of our workers, and more. You will be part of the Data Science Team in Digital Production and play a critical role in ensuring that we are able to do just that.

In this role you would be expected to build, deploy and maintain machine learning data pipelines in production, building relevant APIs & web services and also contribute in defining new data elements and building the data pipeline for modeling. You will be expected to work within agile squads of interdisciplinary experts including business, domain, and technology, who are tasked to solve real-world problems related to production optimization, emission reduction, safety, and more. You will also be expected to connect, extract, transform, perform data wrangling, and feature engineering on many complex and huge data sets from various sources.



  • Work closely with technology, engineers, and data scientists in defining data elements and sources, wrangle, cleanse and analyze large amounts of data in our cloud-based development and production environment
  • Perform end-to-end/full-stack software solutions development and deployment of our Machine Learning (ML) algorithms
  • Write, design, code, test, implement, debug, and validate applications; document design decisions and develop modular software components; monitor system performance metrics, and identify potential risks/issues
  • Develop and maintain production data pipelines supporting modeling techniques and model interchange in production settings
  • Perform ETL, data wrangling, and feature engineering on huge amounts of data that structured, unstructured, time-series and images.



  • BS/MS in Computer Science / Engineering, Machine Learning, or similar
  • Several of experience in data engineering or similar role, preferably you have deployed large-scale, production machine learning systems
  • Highly proficient and experienced in technologies and programming languages such as SQL, JavaScript, Python, Angular, APIs, REST, Git, and rapid prototyping, with the ability to write clean and efficient code
  • Expert in traditional databases, big data & deployment of cloud solutions.
  • Expert knowledge of production data pipelines and web services / APIs supporting modeling techniques in production settings, etc.
  • Background in software development – understanding of object oriented and functional programming concepts
  • Ability to perform exploratory data analysis and feature engineering
  • Solving hard engineering problems truly excites you. To do this, you are constantly stretching your toolbox of capabilities, including breaking new ground when required.
  • Preferred experience with machine learning techniques
  • Pragmatic, solution driven and technology agnostic. You focus on results, and get things done.

Additional Information


As a global organization we actively strive to reflect the diversity in society. We, therefore, encourage qualified applicants from all backgrounds to apply. We are committed to creating a work environment that fits gender equality.


Please note: This recruitment process will be managed by Korn Ferry, and by submitting your application you acknowledge and confirm that your application-details can be shared with them. Korn Ferry will manage your data according to GDPR regulations and in line with the frame agreement in place with Yara.

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