Machine Learning & AI Engineer

Job Opening: Machine Learning Engineer / AI Engineer at BlackStone eIT

BlackStone eIT, a leading computer software company, is seeking a talented and experienced Machine Learning Engineer / AI Engineer to join our dynamic team. As a Machine Learning Engineer / AI Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying cutting-edge machine learning models and artificial intelligence solutions. You will collaborate closely with cross-functional teams to analyze data, identify opportunities for applying machine learning and AI techniques, and implement solutions to solve complex business problems. In this role, you will have the opportunity to work on a wide range of projects, spanning various industries, and make a significant impact on the company's success. We are looking for individuals who are passionate about machine learning and AI, and possess strong analytical and problem-solving skills.

Responsibilities:

1. Study and transform data science prototypes into production-ready solutions
2. Research and implement state-of-the-art ML and AI algorithms and tools
3. Develop and deploy machine learning and AI applications according to project requirements
4. Select appropriate datasets and data representation methods for model training and evaluation
5. Run extensive experiments to evaluate and fine-tune ML and AI models
6. Deploy and monitor ML and AI models in production environments
7. Collaborate with software engineers and data scientists to integrate ML and AI capabilities into existing systems
8. Stay up-to-date with the latest advancements in machine learning and artificial intelligence

Requirements:

• Experience: 2-5 years as a Machine Learning Engineer, AI Engineer, or similar role
• Skills: Strong understanding of machine learning algorithms, neural networks, and AI techniques
• Programming Proficiency: Python, Java, or C++
• Frameworks: TensorFlow, PyTorch, or scikit-learn
• Knowledge: Data structures, data modeling, and software architecture
• Soft Skills: Excellent problem-solving and analytical skills, ability to work effectively in a collaborative team environment
• Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field