Position Overview:

We are seeking a Mid-Level AI Research Scientist with expertise in machine learning, deep learning, and natural language processing (NLP) to contribute to exciting research projects. As a part-time member of our team, you will collaborate with top-tier researchers and engineers to tackle complex problems and push the boundaries of AI technology. This position offers flexibility, autonomy, and the opportunity to work in a fast-paced, innovative environment.

Key Responsibilities:

• Conduct cutting-edge research in AI, focusing on deep learning, reinforcement learning, and other advanced machine learning techniques.
• Collaborate with a multidisciplinary team of researchers, engineers, and data scientists to develop novel algorithms and models.
• Design and implement experiments to test and validate new AI methods and approaches.
• Analyze large datasets to derive insights, improve model performance, and refine research outcomes.
• Publish research papers in top-tier conferences and journals.
• Stay up-to-date with the latest AI research trends and innovations.
• Contribute to the creation of AI-powered solutions for various real-world applications.
• Present research findings to internal stakeholders and at external conferences.

Requirements:

• A Master’s degree (or equivalent experience) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• At least 3 years of experience in AI research or applied machine learning.
• Strong knowledge of machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with natural language processing (NLP) and computer vision techniques is a plus.
• Proficiency in programming languages such as Python, R, or similar.
• Strong problem-solving and analytical skills, with the ability to work independently and as part of a team.
• Solid understanding of mathematical foundations in AI and machine learning, including statistics, linear algebra, and optimization.
• Experience with cloud platforms (e.g., AWS, Google Cloud) is a bonus.
• Strong written and verbal communication skills in English.

Preferred Qualifications:

• Published papers in reputable AI conferences or journals.
• Experience with AI research in real-world applications, such as healthcare, finance, or autonomous systems.
• Familiarity with AI ethics and responsible AI practices.

Benefits:

• Flexible working hours: Tailor your schedule to fit your personal and professional commitments.
• Remote work option: Work from home part-time, with occasional in-office collaboration.
• Professional development: Opportunities to attend conferences, workshops, and collaborate with leading experts in the field.
• Competitive compensation: Based on experience, with additional research funding for publications and projects.
• Innovative environment: Join a team of passionate researchers and engineers working on high-impact AI challenges.

Note: This job is posted on behalf of our client.