Machine Learning Engineer

Essential functions

• Build and sustain forecasting engine, consisting of deployable statistical and machine learning models, mostly for time series forecasting in the context of integrated business planning and beyond.

• Work closely with process owners, product owners and final business users.

Qualifications

• Ability to design and support technical architecture

• Bachelor’s or Master’s in Computer Science / Statistics / Mathematics /Data Science/ MBA • 4+ years’ of experience as machine learning engineer, leading scalable developments of data scientist and ML engineers, preferably focused on development of reusable analytical toolkits, ideally in the field of time series forecasting.

• 4+ years of experience building solutions in the supply chain space. Demand planning would be a plus.

• 6+ years working in a team to deliver production level analytic solutions.

• 6+ years’ experience in ETL and/or data wrangling techniques.

• Business storytelling and communicating data insights in business consumable format. Vast experience with at least one Visualization tool.

• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities

• Experience with Agile methodology to organize team work and analytics.

Would be a plus

• Fluent in git (version control). Understanding of Jenkins, Docker.

• Experience with Agile methodology to organize team work and analytics.

We offer

• Flexible working hours (full-time).

• One "Flex Day" off per month.

• 10 business days of vacation.

• Swiss Medical health coverage.

• 100% remote work.

• Permanent contract with quarterly salary updates (PESOS ARG).

• Access to Udemy and Platzi for professional training.

• Employee Assistance Program (financial, nutritional, psychological support, etc.).

• Fully covered English classes during working hours.

• Discounts on Club de Beneficios and Samsung products.

• Birthday day off.

About us

• Mobile Computing is joining Grid Dynamics (NASDAQ: GDYN), a leading provider of technology consulting, platform and product engineering, AI, and digital engagement services for companies undergoing digital transformation.
  Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.