> DOU
intern
LITSLINKAI Engineer
format:Remotecompany:Outsource
pythonmachine learningdeep learningpytorchtensorflowllmgenerative aicomputer vision
hugging faceai agentsragnlp
test task:no
> full description
LITSLINK is looking for a Trainee AI/ML Engineer who is passionate about Artificial Intelligence and eager to grow through real projects, mentorship, and hands-on experience.
You will work alongside experienced engineers, explore modern AI technologies, participate in AI-driven initiatives, and contribute to internal and client projects involving Machine Learning, Generative AI, LLMs, Computer Vision, and automation.
What You’ll Do
- Assist in building and improving AI-powered solutions.
- Work with datasets, model evaluation, and experimentation.
- Support development of applications using LLMs and Generative AI technologies.
- Learn how to integrate AI models into real products and business workflows.
- Participate in AI research, prototyping, and proof-of-concept development.
- Collaborate with engineers, technical leads, and mentors.
- Explore and apply modern AI tools, frameworks, and best practices.
What We’re Looking For
- Understanding of Machine Learning fundamentals.
- Basic knowledge of Deep Learning concepts and neural networks.
- Experience with Python.
- Familiarity with PyTorch or TensorFlow.
- Understanding of Large Language Models (LLMs) and Generative AI concepts.
- Familiarity with AI tools such as ChatGPT, Claude, Gemini, Cursor, or similar.
- Understanding of prompt engineering fundamentals.
- Basic knowledge of Computer Vision and/or NLP.
- Strong analytical thinking and problem-solving skills.
- Curiosity, initiative, and a desire to continuously learn.
- Intermediate+ English.
Nice to Have
- Personal AI/ML projects.
- Experience with Hugging Face.
- Experience building AI agents, RAG systems, or AI automations.
- Kaggle participation, hackathons, or research activities.
- Familiarity with Git.
What We Offer
- Mentorship from experienced AI/ML professionals.
- Hands-on experience with real-world AI projects.
- Exposure to modern AI technologies and industry best practices.
- Professional growth opportunities.
- Remote-first environment.
- Competitive compensation.
Recruitment Process
- HR Interview
- Technical Interview
- Offer