Data Scientist & AI Research Intern

Position Summary

Apur Group is looking for Machine Learning Research Interns to contribute to AI/ML research and development across enterprise software products and client focused solutions, delivering intelligent capabilities for diverse industries and mission critical applications.

We are looking for motivated individuals who are passionate about solving complex problems, applying data driven approaches, and creating practical AI/ML solutions with measurable impact. Successful candidates will demonstrate curiosity, a willingness to learn, strong collaboration skills, and the ability to contribute effectively in a research driven engineering environment.

Location

Remote

This is a fully remote internship. Candidates should have a reliable internet connection and be able to collaborate effectively with distributed teams using modern communication and collaboration tools.

Compensation

This is an unpaid internship intended to provide participants with hands-on experience in applied AI/ML research, enterprise software development, and real world client projects under the mentorship of experienced professionals.

Key Responsibilities

As a Machine Learning Research Intern, you will contribute to the research, design, development, and evaluation of state-of-the-art AI and machine learning solutions for enterprise software products and client engagements.

Your responsibilities will include:
  • Conducting applied research in machine learning, deep learning, generative AI, large language models (LLMs), computer vision, natural language processing (NLP), recommender systems, predictive analytics, or other relevant AI domains.
  • Designing, implementing, and evaluating novel AI/ML models, algorithms, and prototypes to address real world business and operational challenges.
  • Collaborating with research scientists, software engineers, and domain experts to translate research ideas into scalable enterprise solutions.
  • Experimenting with emerging AI technologies and assessing their applicability across diverse industry sectors, including education, health & fitness, government, and enterprise applications.
  • Developing high quality, maintainable code, conducting experiments, analysing results, and documenting research findings.
  • Reviewing current academic literature and industry developments to identify opportunities for innovation and continuous improvement.
  • Presenting research outcomes, technical findings, and recommendations to internal stakeholders and contributing to technical publications, white papers, patent disclosures, or research papers where appropriate.

Throughout the internship, you will be mentored by experienced AI researchers and software engineers while working on projects that have the potential to influence production systems and next generation enterprise products.

Qualifications

Minimum Qualifications

  • Currently pursuing, or have recently completed (within the last two years), a Bachelor's, Master's, or Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, Mathematics, Statistics, or a related quantitative discipline.
  • Strong programming skills in Python and familiarity with Object Oriented programming principles.
  • Solid understanding of machine learning fundamentals, data structures, algorithms, probability, linear algebra, and statistics.
  • Strong analytical thinking, problem solving, and software development skills.
  • Excellent written and verbal communication skills, with the ability to present technical concepts clearly.
  • Ability to work independently as well as collaboratively within cross functional teams.

Preferred Qualifications

While not required, candidates with one or more of the following qualifications will be viewed favourably:
  • Hands-on experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or similar.
  • Familiarity with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, recommender systems, predictive analytics, reinforcement learning, or related AI technologies.
  • Experience developing, training, fine tuning, or evaluating machine learning models using real world datasets.
  • Knowledge of modern AI development tools and practices, including Git, Docker, REST APIs, SQL, cloud platforms (AWS, Azure, or Google Cloud), and MLOps concepts.
  • Experience conducting research, implementing novel algorithms, or evaluating AI/ML models through experimentation.
  • Familiarity with software engineering best practices, including version control, testing, documentation, and collaborative development workflows.
  • Academic projects, internships, open source contributions, technical blogs, research publications, Kaggle competitions, or other evidence of applied AI/ML experience.
  • A demonstrated interest in applying AI and machine learning to solve complex business problems across enterprise products and client solutions.

What Will Make You Successful

  • Curiosity and enthusiasm for learning emerging AI technologies and translating research into practical solutions.
  • A practical, solution oriented mindset with the ability to balance innovation and real-world applicability.
  • Strong attention to detail and a commitment to producing high quality technical work.
  • Initiative, ownership, and a willingness to learn from experienced researchers and engineers.
  • The ability to thrive in a collaborative, fast paced, and innovation driven environment.

How to Apply

If you are passionate about artificial intelligence and machine learning and are excited to contribute to enterprise scale products and real world client solutions, we would love to hear from you. Please email your resume/CV, along with a brief cover letter outlining your interest in the role and relevant experience, to careers@apurgroup.com

Subject Line: Application – Data Scientist & AI Research Intern

Only shortlisted candidates will be contacted.
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