Overview:
ZeroBounce is seeking a talented and passionate AI Engineer to join our growing team. As an AI Engineer, you will play a key role in developing and optimizing our AI-driven products and services. You will work closely with cross-functional teams to design, implement, and deploy machine learning models and algorithms to solve complex business problems.
Responsibilities:
- Design, develop, and implement machine learning models and algorithms to address business challenges such as email verification, data enrichment, and fraud detection;
- Train, validate, and optimize machine learning models using state-of-the-art techniques and tools;
- Evaluate model performance and iterate on model improvements as needed;
- Integrate machine learning models into production systems and ensure scalability, reliability, and efficiency;
- Utilize Python programming language for AI model development, data manipulation, and system integration;
- Collaborate with cross-functional teams including software engineers, data scientists, and product managers to deliver high-quality AI-driven solutions;
- Stay updated with the latest advancements in AI and machine learning research. Identify opportunities for innovation and propose new approaches to solve;
- Develop robust and scalable software applications using Python programming language;
- Conduct code reviews to ensure code quality, performance, and adherence to coding standards;
- Collaborate with software architects and engineers to design and implement software solutions that meet business requirements;
- Write unit tests and integration tests to ensure software quality and reliability;
- Create and maintain technical documentation, including design documents, user guides, and API documentation;
- Identify and troubleshoot software defects and performance issues in a timely manner;
- Utilize version control systems such as Git for code management and collaboration;
- Implement and maintain CI/CD pipelines to automate software build, test, and deployment processes;
- Work closely with cross-functional teams including product management, QA, and DevOps to deliver high-quality software solutions;
Requirements:
- Experience in AI/ML engineering roles;
- Strong programming skills in Python with experience in libraries such as NumPy, Pandas, TensorFlow, or PyTorch;
- Solid understanding of machine learning algorithms, techniques, and frameworks;
- Proficiency in data preprocessing, feature engineering, and exploratory data analysis;
- Excellent analytical and problem-solving skills with a creative mindset to tackle complex challenges;
- Strong communication and collaboration skills with the ability to work effectively in a team environment;
Preferred Qualifications:
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform;
Familiarity with natural language processing (NLP) and computer vision (CV) technologies;
Knowledge of software development best practices, version control systems (e.g., Git), and CI/CD pipelines;
Experience with Docker and container orchestration tools like Kubernetes.
Benefits
● 21 days of annual leave
● Flexible working hours, including the possibility to work from home
● Birthday 100$ voucher
● Subscription to private medical insurance at Medlife
● Subscription to WorldClass
● Subscription to Bookster