AI Engineer | Data Scientist

This company is an equal opportunity employer committed to inclusion and diversity. They value creativity, diversity, and technical excellence in a collaborative environment.

Introduction

We are seeking a highly motivated AI Engineer | Data Scientist to join an innovative R&D team that is driving the next wave of intelligent automation and digital transformation. This is an exceptional opportunity to work with cutting-edge artificial intelligence, data engineering, and machine learning systems at scale, helping design and deploy real-world solutions in industries ranging from robotics to advanced analytics.

The ideal candidate thrives at the intersection of data science, machine learning, and applied AI engineering. You'll collaborate with cross-functional teams to design scalable data pipelines, develop and train models, and support the deployment of AI-powered solutions that make a measurable impact.

Responsibilities

• Build scalable AI and data science pipelines for multimodal datasets (visual, sensor, and real-time data).
• Implement self-supervised and generative AI workflows for data labeling and model improvement.
• Collaborate with cross-functional teams to translate business needs into technical AI/ML solutions.
• Develop machine learning models for prediction, optimization, and automation.
• Apply data visualization and analytics techniques to deliver actionable insights.
• Support simulation-to-real workflows and AI deployment pipelines.
• Document results, publish technical findings, and contribute to best practices.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• 3–7 years of experience in AI, data science, or machine learning engineering.
• Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch).
• Familiarity with data pipelines, APIs, and cloud platforms (AWS, Azure, or GCP).
• Experience building or maintaining machine learning models and datasets.
• Strong analytical, problem-solving, and communication skills.

Nice to Have

• Master’s degree in AI, Data Science, or Computer Engineering.
• Experience with LLMs (Large Language Models) or multimodal data.
• Exposure to self-supervised or reinforcement learning.
• Experience with Power BI, SQL, or dashboarding tools for insight delivery.
• Strong understanding of data lifecycle management and MLOps.

Benefits

• Competitive compensation and comprehensive benefits from day one.
• Direct access to innovative AI and data science projects.
• Collaborative environment that values creativity, diversity, and technical excellence.
• Career growth and learning opportunities in one of the fastest-growing fields globally.

About Company

This is an equal opportunity employer committed to inclusion and diversity. All qualified applicants are encouraged to apply regardless of background, identity, or experience level.

How to Apply

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