Job Summary

Fresher Jobs Hub is looking for a highly motivated and talented Machine Learning & Artificial Intelligence Research Intern to join our innovative team on a remote basis. This is an exciting opportunity for individuals who are passionate about ML/AI technologies and eager to contribute to cutting-edge research projects that drive meaningful impact across various industries. The ideal candidate will assist in developing advanced algorithms, conducting experimental research, and collaborating with cross-functional teams to deliver actionable insights and solutions.

Key Responsibilities

• Conduct research and development of machine learning and artificial intelligence models for real-world applications.
• Assist senior researchers in building prototypes and testing novel algorithms.
• Analyze large datasets to extract patterns and insights that can be applied to ML/AI projects.
• Prepare technical documentation, reports, and presentations to communicate research findings to stakeholders.
• Collaborate with data scientists, engineers, and other interns on various ongoing projects.
• Stay up-to-date with the latest trends and advancements in AI, ML, deep learning, and related technologies.
• Contribute to peer-reviewed publications, white papers, or internal technical papers.
• Take part in regular team meetings and brainstorming sessions to share ideas and offer technical solutions.

Required Skills and Qualifications

• Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Solid understanding of core concepts in machine learning, artificial intelligence, statistics, and data mining.
• Proficiency in programming languages such as Python, R, or Java, with experience in ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
• Familiarity with data preprocessing, model training, hyperparameter tuning, and evaluation techniques.
• Good communication skills, both written and verbal, to articulate technical concepts clearly.

Experience

• Previous internship or project experience in AI, machine learning, or data analysis is preferred but not mandatory.
• Academic or personal projects demonstrating practical application of machine learning techniques will be highly valued.

Working Hours

• This is a fully remote internship with flexible working hours.
• Expected commitment is approximately 15-20 hours per week, depending on project deadlines and availability.

Knowledge, Skills, and Abilities

• Strong foundation in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Ability to handle, clean, and manipulate large datasets.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) is a plus.
• Basic knowledge of MLOps and deployment pipelines is advantageous.
• Critical thinking and curiosity to explore innovative approaches to solving complex problems.
• Ability to manage time effectively and meet project milestones.

Benefits

• Gain hands-on experience in real-world AI and machine learning research projects.
• Work closely with experienced professionals and mentors in the field.
• Flexible remote work arrangement to suit your schedule.
• Access to internal training sessions and learning resources.
• Opportunity to network with AI experts and peers in the industry.
• A potential pathway to full-time opportunities based on performance.

Why Join Fresher Jobs Hub

At Fresher Jobs Hub, we are committed to empowering young talent and fostering a culture of innovation, learning, and growth. As part of our team, you will be contributing to impactful research while developing your technical expertise. We believe in collaboration, creativity, and building solutions that matter. If you are driven, curious, and passionate about the future of AI, this is the perfect place for you to kickstart your career.

How to Apply

Please submit your updated resume, along with a brief cover letter highlighting your interest in AI/ML research and relevant experience, to us. Applications will be reviewed on a rolling basis, so early submissions are encouraged.