AI/ML Engineer

Job Description

If you are a dedicated and analytical professional with a passion for data-driven decision-making we encourage you to apply for this exciting role. Join our team and contribute to enable data science at scale and driving strategic value through data insights.

Responsibilities

• Collaborate with cross-functional teams including data scientists analysts and business stakeholders to understand data requirements and develop strategies for data-driven solutions

• Utilize the Dataiku or Databricks platform to design develop and deploy machine learning models and data pipelines

• Support and mentor other data scientists in effectively using the Dataiku/Databricks platform and implementing best practices

• Work closely with stakeholders to identify key business problems and opportunities and translate them into actionable data-driven solutions

• Conduct exploratory data analysis data preprocessing feature engineering and model evaluation to uncover insights and build predictive models

• Communicate complex technical concepts and analytical findings to non-technical audiences through compelling visualizations presentations and reports

• Collaborate with the marketing and communications teams to develop content showcasing the value and impact of data-driven solutions powered by Dataiku/Databricks

• Actively participate in knowledge sharing activities including conducting training sessions and workshops to enhance the data science capabilities within the organization

• Stay up to date with the latest trends and advancements in data science machine learning and the Dataiku/Databricks platform and share insights with the team

• Provide technical support and troubleshooting assistance to data scientists and users of the Dataiku/Databricks platform

Skills/Knowledge Required

• Minimum of 2 of relevant delivery of complex analytical projects (industrialized validated)

• Proven experience as a data scientist analyst or in a similar role

• Proficiency in data analysis and manipulation using programming languages such as Python or R

• Strong knowledge of statistical modeling data mining and machine learning techniques with experience in applying them to procurement or supply chain datasets

• Familiarity with data science platforms like Dataiku or Databricks

• Familiarity with working with generative AI models and apply them to real use cases

• Excellent analytical and problem-solving skills with the ability to translate complex data into actionable insights and recommendations

• Strong attention to detail and a focus on data accuracy and integrity

• Effective communication skills with the ability to convey technical concepts to non-technical stakeholders and ability communicate with larger audiences.

• Ability to work independently and collaboratively in a fast-paced environment managing multiple priorities and meeting deadlines

Our Offer

• Exciting work in a great team global projects international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model flexible role pattern

• Pension and health insurance contributions

• Internal reward system plus referral program

• 5 weeks annual leave 5 sick days 15 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers Ltaka sport culture health travel etc.) Multisport Card

• Vodafone Raiffeisen Bank Foodora and other discount programs

• Up-to-date laptop and iPhone

• Parking in the garage for drivers or showers for bikers

• Competitive salary incentive pay and many more

Ready to take up the challenge Apply now!
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