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We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team. In this role, you will design and implement cutting-edge AI and machine learning solutions to enhance our SaaS platform. You will collaborate with cross-functional teams to optimize workflows, improve customer experiences, and drive innovation through intelligent features.
Job Responsibility:
Develop and deploy robust machine learning models for predictive analytics, generative AI, and other advanced capabilities within a SaaS environment
Create scalable data pipelines for model training, testing, and monitoring, ensuring optimal performance and reliability
Collaborate with product, engineering, and data teams to identify and implement AI-driven solutions that address business challenges
Design and integrate AI functionalities, such as recommendations and classification systems, while maintaining efficiency and accuracy
Incorporate AI models into cloud-based systems using APIs, microservices, and containerized infrastructure
Assess and implement third-party AI tools and frameworks to enhance productivity and product capabilities
Ensure models align with privacy, security, and fairness standards, maintaining compliance across all implementations
Document workflows, track experiments, and maintain reproducibility for all AI-related processes
Keep up-to-date with advancements in AI technologies, machine learning techniques, and SaaS architecture trends
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
At least 3 years of experience deploying machine learning models in production environments
Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, and container tools like Docker or Kubernetes
Knowledge of large language models (LLMs), vector databases, and modern AI development tools
Understanding of microservice architectures and API-based integrations
Strong grasp of data structures, algorithms, and software engineering principles
Experience with model experimentation and monitoring frameworks