AI Engineer | Data Science

Job Description

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

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

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

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

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