Remote AI Research Scientist (Machine Learning)

Full Description

Our client, a cutting-edge technology company at the forefront of Artificial Intelligence, is seeking a brilliant and innovative Remote AI Research Scientist specializing in Machine Learning.

This is a fully remote position, offering an exceptional opportunity to contribute to groundbreaking AI research and development from anywhere.

You will be instrumental in designing, developing, and implementing advanced machine learning models and algorithms to solve complex problems across various domains.

Your work will involve exploring new ML techniques, conducting rigorous experimentation, analyzing large datasets, and translating research findings into practical applications.

Key responsibilities include developing deep learning architectures, natural language processing models, computer vision algorithms, or reinforcement learning systems, depending on project needs.

You will collaborate closely with a team of world-class researchers and engineers through virtual platforms, contributing to publications, patents, and open-source projects.

The ideal candidate will possess a strong theoretical foundation in machine learning, statistics, and computer science, coupled with practical experience in building and deploying ML models.

Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn are essential.

A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with a proven track record of research achievements (publications, conference presentations).

If you are a creative problem-solver, passionate about pushing the boundaries of AI and eager to work in a collaborative, remote research environment, we encourage you to apply and shape the future of intelligent systems.

Key Responsibilities: Research, design, and implement advanced machine learning algorithms and models.

Develop and train deep learning, NLP, computer vision, or reinforcement learning systems.

Analyze and interpret large, complex datasets to extract meaningful insights.

Conduct rigorous experimentation and evaluate model performance.

Translate research findings into practical AI solutions and applications.

Collaborate with a remote team of researchers and engineers.

Contribute to scientific publications, patents, and open-source initiatives.

Stay abreast of the latest advancements in AI and machine learning research.

Develop and optimize ML pipelines for scalability and efficiency.

Present research findings and project progress to stakeholders.

Required Qualifications: Ph.D. or Master's degree in Computer Science, AI, ML, or a related field.

Strong theoretical understanding of machine learning, statistics, and algorithms.

Proven experience in developing and implementing ML models.

Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

Experience with data preprocessing, feature engineering, and model evaluation.

Strong analytical and problem-solving skills.

Excellent communication and collaboration skills for remote work.

Publication record in top-tier AI/ML conferences or journals is highly desirable.

Experience with cloud platforms (AWS, GCP, Azure) for ML is a plus.