Responsibilities:

Design, develop, and deploy machine learning models and AI solutions.
Collaborate with data engineers, software developers, and product teams to integrate ML models into production systems.
Conduct data preprocessing, feature engineering, and exploratory data analysis.
Optimize model performance and ensure scalability of machine learning solutions.
Maintain and monitor deployed models, ensuring accuracy and efficiency over time.
Research and implement state-of-the-art machine learning algorithms.
Document processes, code, and experiments for reproducibility.


Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Proven experience in machine learning, deep learning, and data modeling.
Strong programming skills in Python, R, or Java.
Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment.
Solid understanding of statistics, linear algebra, and probability.
Ability to work independently and communicate effectively in a remote environment.
Strong problem-solving skills and attention to detail.
Bonus: Experience with natural language processing (NLP), computer vision, or reinforcement learning.