Machine Learning Engineer

A Master Degree or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field is necessary.
Strong experience in programming languages such as Python, R, Java.
Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Proficiency in working with large-scale data analysis systems and cloud computing frameworks.
Experience in statistical modeling, predictive analytics, and deep learning techniques.
Strong problem-solving skills and the ability to translate complex algorithms into efficient code.
Excellent communication skills and ability to work collaboratively in a team environment.

Develop and program coordinated software algorithms for data analysis and decision-making in both product design and system improvement projects.
Leverage machine learning techniques such as decision trees, logistic regression, Bayesian analysis, and deep learning to build predictive and prescriptive models.
Apply deep learning technologies to enable advanced capabilities in Marketing Software.
Design, implement, and optimize algorithms in large-scale computing environments, ensuring efficient processing of structured and unstructured data.
Perform testing, debugging, and documentation to ensure robust deployment and maintenance of machine learning models.
Collaborate with teams to integrate insights into products and systems.
Stay updated with the latest advancements in artificial intelligence, machine learning, and data science to improve our technological capabilities.

Experience in AI/ML solving problems to improve business operations.
Knowledge of distributed computing frameworks (Spark, Hadoop) for large-scale data processing.
Familiarity with deploying and maintaining machine learning models in production.