AI Engineer | Data Science

About the Role

We are seeking a highly motivated AI Engineer | Data Scientist to join an innovative R&D team 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 deployment of AI-powered solutions that make a measurable impact.

What You’ll Do

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

What You’ll Gain

• 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.

Equal Opportunity

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.

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