JUNIOR AI ENGINEER

About AvePoint

AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. With a single platform for lifecycle control, multicloud governance, and rapid recovery paired with clear ownership across the business, we prevent overexposure and sprawl, modernize legacy and fragmented data, and minimize data loss and interruption. Our global partner ecosystem includes approximately 6,000 MSPs, VARs, and SIs, and our solutions are available in over 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!

Job Description: 

• Participate in the development of neural network, machine learning, NLP, and big data technologies for company products such as chatbots, search engines, and data analysis systems. 

• Collect, clean, and prepare large-scale datasets for training AI models. 

• Research and apply machine learning, deep learning, and big data technologies to build and enhance AI solutions. 

• Evaluate model performance and propose optimization solutions. 
• Develop and maintain AI related functions and features using C# and Python. 

• Support other team members in projects and products implementation, particularly in integrating AI with big data technologies. 
• Leverage and integration with AI services in cloud platforms, such as Google, AWS, Azure.

Requirements: 

• Bachelor’s degree in computer science, information technology, data science or a related field. 

• Solid understanding of probability and statistics, discrete mathematics, and linear algebra. 

• Knowledge of algorithms and data structures. 

• Experience with at least one framework or library (e.g., TensorFlow, PyTorch) and one programming language (Python and C# preferred). 

• Knowledge of big data processing tools like Hadoop and Spark, including concepts such as MapReduce and data parallelism. 

• Strong learning attitude, enthusiasm for research and a passion for exploring new AI and big data technologies. 

• Good communication skills and ability to work effectively in a team. 

• Good English communication. 

Preferred: 

• Experience participating in neural network, machine learning, NLP, big data related projects. 

• Experience working with distributed databases, vector database and big data storage solutions.