AI Software Engineer

Full Description

Job Description

As a Machine Learning Engineer / AI Engineer at BlackStone eIT, your primary responsibilities will include:

• Data Transformation: Study and transform data science prototypes into production-ready solutions, leveraging your expertise in machine learning algorithms and neural networks.

• Algorithm Research and Implementation: Research and implement state-of-the-art ML and AI algorithms and tools, ensuring seamless integration with existing systems.

• Model Development and Deployment: Develop and deploy machine learning and AI applications according to project requirements, utilizing programming languages like Python, Java, or C++.

• Data Selection and Representation: Select appropriate datasets and data representation methods for model training and evaluation, demonstrating your knowledge of data structures and data modeling.

• Experimentation and Evaluation: Run extensive experiments to evaluate and fine-tune ML and AI models, highlighting your analytical and problem-solving skills.

• Production Monitoring: Deploy and monitor ML and AI models in production environments, ensuring optimal performance and scalability.

• Integration and Collaboration: Collaborate with software engineers and data scientists to integrate ML and AI capabilities into existing systems, fostering a culture of innovation and teamwork.

• Industry Advancements: Stay up-to-date with the latest advancements in machine learning and artificial intelligence, driving business growth through strategic implementation.