AI Software Engineer
Design, develop, and deploy production AI solutions and end-to-end ML pipelines, integrating models into applications and collaborating with product, data science, and engineering teams.
BlackStone eIT is looking for a skilled AI Engineer to join our innovative team.
As an AI Engineer, you will design, develop, and implement AI solutions that address complex business challenges. You’ll work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into our product offerings.
This is a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies across our organization. You’ll be involved in every stage of the AI project lifecycle, from data collection and preprocessing to model training, deployment, and monitoring.
Requirements
✅ 2+ years of experience in AI or machine learning engineering roles
✅ Proficiency in Python and experience with libraries like TensorFlow, PyTorch, or Scikit-learn
✅ Knowledge of AI model deployment and monitoring best practices
✅ Understanding of data processing, feature engineering, and model evaluation techniques
✅ Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
✅ Strong problem-solving abilities and excellent communication skills
Nice to have:
⭐ Experience with cloud platforms (AWS, Azure, or GCP)
⭐ Familiarity with containerization tools such as Docker
Design, develop, and deploy production AI solutions and end-to-end ML pipelines, integrating models into applications and collaborating with product, data science, and engineering teams.
Design, develop, and deploy production AI solutions and end-to-end ML pipelines, integrating models into business applications while collaborating with product, data science, and engineering teams.
Develop computer vision and deep learning algorithms for centimeter-level vehicle localization on HD maps, combining surround-camera systems, 3D geometry, and optimization for robust autonomous driving.
Build, deploy, and support production AI tools, agents, and workflows, integrating LLM capabilities with enterprise platforms while helping users adopt secure, reliable solutions.
Develop AI/ML solutions in Python, building and deploying machine-learning models, generative AI and RAG pipelines, and microservices while contributing to AI governance, monitoring, and solution design.