ML Engineer

3 weeks ago

chennai, India Vestas Full time

Vestas is the world leader in wind technology and a Defining-force in the development of the wind power industry. Vestas’ core business comprises the development, manufacture, sale, marketing, and maintenance of Wind Turbines. Come and Join us at Vestas

Digital Solutions > Digital Architecture, Data & AI > Data Products & Insights

At the core of our Data Products & Insights department, Analytics Development team is responsible for enabling business decisions and process with scientific products/insights across the entire value chain in Vestas. Based out of Chennai, India, but with global focus, the team collaborates with AI Center of Enablement and Data Analytics Product Owners across the globe to develop impactful solutions that empower business to understand and continuously improve in multiple functions like Service Operations, Supply Chain, Finance and Commercial globally; and creates transparency that enables data driven business optimization, through solid scientific capability & data centricity combined with business knowledge enabling Vestas maintain a global position in Analytics in the renewable energy industry.


Responsibilities

Primary duties will be to develop, test and deploy statistical and machine learning models for advanced analytics use cases in service operations area  Support Data Scientists in feasibility studies and rapid experimentation to build ML prototypes to validate & assess potential impact, usefulness, complexity, and benefits of new ideas  Develop, productionize, and deploy scalable ML solutions with automated drift monitoring from approved ML prototypes  Responsible for packaging ML solutions for end-user consumption, including building API endpoints, web applications and end user interfaces  Collaborate with data engineers to build scalable data pipelines to support ML deployments  Share knowledge and be an active consultant to explain and showcase potentials of data science driven use-cases and industrializing machine learning in Vestas Service 

Qualifications

Bachelors’ or Masters’ degree in Engineering / Applied Statistics, with overall professional work experience in data, analytics or relevant domain for 2-6 years Work experience as ML Engineer for 2+ years involving analytics product development where advanced data analytics, mathematical/statistical modeling and data science was major part of your work and followed a continuous delivery & deployment model Significant hands-on experience in modelling, experiment tracking, building and deploying training & inference pipelines for machine learning models and statistical models Proven work experience in developing solutions to productionize AI/ML prototypes, establishing continuous validation & retraining strategies and developing necessary API end-points & web applications Experience in designing and deploying scalable AI/ML solutions using standard MLOps practices following ML Governance principles, setting up production grade back-end (e.g. production-grade code, CI/CD, etc.), establishing monitoring and alerts (e.g. system runtime, data validation, data/model drift, etc.) Strong foundation in machine learning techniques (supervised & unsupervised, time series, NLP), neural networks and statistics/mathematics/probability theory

Competencies:

Tools/Technologies/Frameworks:

Comprehensive working knowledge in Python, ability to develop production grade code and solid experience with Machine Learning frameworks (i.e. scikit-learn) and ideally Deep Learning (i.e. Tensorflow, PyTorch) is mandatory Experience in ML solution development and deployment is mandatory; knowledge of enterprise AI platforms like Dataiku, Databricks MLflow preferred Hands-on working experience in code management / version control tools such as GIT, Azure DevOps and working with modern build, test and deployment tools is mandatory Hands-on working experience in one of the Python web application development frameworks like Dash, Django, Flask or similar frameworks is recommended

Business/Soft Skills:

Bring not just an analytics-orientation, but the ability to use analytics to drive key success metrics related to yield management and revenue generation Solid communication skills and ability to collaborate closely with business and technology functions

What We Offer

Purpose . An opportunity to impact climate change and the future of next generations through data, machine learning and cloud Steep learning curve . We are building a solid team of Data Scientists and ML Engineers with both broad and deep knowledge. That means that everyone will have somebody to learn from, just as we will invest in continuous learning, knowledge sharing and upskilling Working relationships . We will seek to build an environment of mutual trust and a tightly knit team, where we can support and inspire each other to deliver great impact for Vestas Opportunity to shape your role . We have been asked to scale and deliver data & insights products using AI & ML. The rest is up to us. Healthy work life balance . Commitment to creating a diverse and inclusive workplace environment where everyone can thrive and bring their unique perspectives and skills to the team.

Overall, we offer you the opportunity to make a difference and work in a multicultural international company, where you have the opportunity to improve your skills and grow professionally to reach new heights.


Additional Information  Your primary location will be in Chennai. 
Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date. Please be advised to apply on or before st June 4.

DEIB Statement
At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.

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