This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.
Your role and responsibilities
Conduct research and analysis on the latest data science techniques and methodologies.Develop AI solutions for aesthetic Anomaly Detection for Industrial Quality Assurance, predictive maintenance and advanced LLM-based chatbots working with internal companyâs data.Clean and preprocess large and complex data sets.Collaborate with engineering teams to integrate models and algorithms into our existing systems.Evaluate and interpret model results and provide actionable insights and recommendations.Communicate findings and recommendations to stakeholders in clear and concise ways.
Qualifications For The Role
- Pursuing a degree in Computer Science, Data Science or related field.
- Knowledge of machine learning, deep learning, and artificial intelligence principles and algorithms.
- Knowledge of Python, SQL and other data science tools and libraries.
- Familiarity with computer vision techniques and technologies.
- Good written and verbal communication skills in English.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment.
More about us
We look forward to receiving your application. If you want to discover more about ABB, take another look at our website www.abb.com. benefits:â
- Enjoy a stable employment in a company with a long history in innovation and technologyâ
- Collaborate with experienced experts in an international environmentâ
- Seize individual development and training opportunities, from job specific to soft skillsâ
- Get private medical care (including offers for family members) â
- Receive attractive remuneration based on your experience and skills, and other financial benefitsâ
- Choose from various benefits in kind, ranging from healthy lifestyle offerings, to knowledge sharing, to teambuilding activitiesâ
- SmartworkingFor further info: Chiara Mazzoleni, Talent PartnerABB Data Privacy Statement:https://new.abb.com/privacy-notice/candidate