Data & Machine Learning Engineer

We are seeking a talented and passionate Data and Machine Learning Engineer to join our scalable machine learning and AI engineering team. As a Machine Learning Engineer, you will design, build, and deploy scalable and efficient machine learning systems to solve complex problems.

Responsibilities
-Collaborate with data scientists, product management, data engineers, and software engineers to understand requirements and translate them into scalable machine-learning solutions.
-Develop data preprocessing pipelines, including data cleaning, feature extraction, and transformation, to ensure data quality and suitability for machine learning models.
-Design and implement machine learning algorithms, models, and architectures to address specific business needs.
-Train, validate, and optimize models using large datasets, ensuring high performance and generalization.
-Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and efficiency.
-Conduct experiments and perform A/B testing to evaluate model performance and iteratively improve the algorithms.
-Monitor and maintain deployed models, addressing any issues related to model drift, bias, or performance degradation.
-Stay updated on emerging trends and advancements in machine learning, AI, and related technologies, and apply them to enhance existing systems.
-Collaborate with cross-functional teams and communicate effectively to align technical solutions with business goals.

Requiriments
-5+ years of experience in data engieering and building machine learning models for business applications.
-PhD/Master's degree in an appropriate discipline.
-Experience programming in Python.
-Strong experience with neural deep learning methods and machine learning.
-Proficiency in modeling tools such as scikit-learn, Tensorflow, numpy, pandas, scipy, etc