Description:

Design, develop, test, and deploy machine learning models for various applications.
Collaborate with data scientists, software engineers, and product managers to create data-driven features.
Optimize and enhance the performance of existing machine learning models.
Implement and maintain scalable machine learning pipelines and infrastructure.
Analyze and preprocess large datasets to extract valuable insights and features.
Stay updated with the latest advancements in machine learning, deep learning, and related technologies.
Conduct model training, validation, and performance evaluation to ensure accuracy and reliability.
Create and maintain documentation related to machine learning models, algorithms, and processes.
Develop A/B testing frameworks and manage model deployment in production.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
6+ years of experience in AI and Machine learning.
Proven experience as a Machine Learning Engineer, Data Scientist, or in a similar role.
Strong programming skills in Python, R, or similar languages.
Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit learn, etc., and experience with NLP libraries.
Experience with data preprocessing, data wrangling, and data visualization.
Hands-on experience with SQL databases and API integration.
Experience with text generation techniques and cloud platforms (AWS, GCP, or Azure).
Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Ability to work in a collaborative environment and communicate effectively with cross-functional teams.