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Associate AI/ML EngineerMaersk · China, Sichuan, Chengdu, 610041
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Maersk

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Associate AI/ML Engineer

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🗓️ Posted 2026-10-23 China, Sichuan, Chengdu, 610041 Full-time Hybrid ICT
💰 Salary Not shared 📊 Market 15,000 DKK–25,000 DKK/mo

About the Company

Lovable is a platform that lets you build apps and websites by chatting with AI. We are a small European team of serial founders, product engineers, physicists, competitive programmers and people who just care about building a great product quickly. We're on a mission to build the last piece of software that the world will ever need. Software Development Specialties: Software Development, AI, AI code generation, Software Engineering, Vibe coding

Responsibilities

  • ● Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyze data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modeling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions.
  • ● Build and maintain machine learning models for various applications, such as natural language processing, computer vision, and recommendation systems
  • ● Perform exploratory data analysis (EDA) to identify patterns and trends in data
  • ● Clean, preprocess, perform hyperparameter tuning and analyze large datasets to prepare them for AI/ML model training
  • ● Build, test, and optimize machine learning models and experiment with algorithms and frameworks to improve model performance
  • ● Use programming languages, machine learning frameworks and libraries, algorithms, data structures, statistics and databases to optimize and fine-tune machine learning models to ensure scalability and efficiency
  • ● Learn to define user requirements and align solutions with business needs
  • ● Work on AI/ML engineering projects, perform feature engineering and collaborate with teams to understand business problems
  • ● Learn best practices in data / AI/ML engineering and performance optimization
  • ● Contribute to research papers and technical documentation
  • ● Contribute to project documentation and maintain data quality standards
  • ● Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law.
  • ● Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL.
  • ● Proficiency Level: Proficient
  • ● AI & Machine Learning: Creating systems that can perform tasks that typically require human intelligence. Using Machine learning (ML), a subset of AI that uses algorithms to learn from and make predictions based on data
  • ● Proficiency Level: Foundational
  • ● Data Analysis: Inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making
  • ● Proficiency Level: Foundational
  • ● Machine Learning Pipelines: Using automated workflows that manage the end-to-end process of training and deploying machine learning models.