Adcuesta Digital
Website:
adcuesta.com
Job details:
Are you someone who learns by building? Do you want to write ML code every single day — not sit through endless meetings or do shadow work?
We’re looking for a hands-on AI/ML Intern who’s ready to take real problems from whiteboard to working prototype. You’ll work across Computer Vision, Large Language Models, and Generative AI — and your work will directly shape product decisions.
🔨 What You’ll Actually Do
You won’t be fetching coffee or watching others code. You will:
- Build and ship ML product PoCs daily — from data prep to model training to live demo
- Design and fine-tune models for CV tasks (classification, detection, segmentation, OCR)
- Build LLM-powered applications — RAG pipelines, prompt engineering, agentic workflows
- Evaluate models rigorously with proper metrics and ablation studies
- Package your work into real demos using FastAPI, Streamlit, or Gradio
- Stay on top of cutting-edge research and bring new ideas to the team
✅ You’re a Great Fit If You Have
- Strong Python skills and solid ML fundamentals
- Hands-on experience with PyTorch or TensorFlow
- Working knowledge of CNNs and Transformers
- Exposure to LLMs and Generative AI — Hugging Face, OpenAI/Anthropic APIs, LangChain, vector DBs
- Good grounding in linear algebra, probability, and statistics
- Comfort with Git and Jupyter/Colab workflows
- Pursuing or recently completed a degree in CS, Data Science, AI/ML, or a related field
⭐ Bonus Points For
- Kaggle competition experience or open-source AI/ML contributions
- Experience with OpenCV, YOLO, or vision-language models like CLIP
- Fine-tuning LLMs using LoRA/QLoRA or building RAG/agent systems
- Exposure to Docker, AWS/GCP/Azure, or MLOps tools like MLflow or W&B
- A public GitHub or portfolio you’re proud of — we’d love to see it
🎁 What You’ll Walk Away With
- Daily ownership of real ML products — not toy tutorials
- Structured mentorship and code/model reviews from experienced AI engineers
- End-to-end exposure: data → modeling → evaluation → deployment
- A strong portfolio of shipped prototypes
- Real possibility of a full-time offer based on performance
📋 Internship Details
- 📍 Remote / Hybrid
- ⏳ 3–6 months | Full-time daily commitment
- 💰 Competitive stipend, commensurate with experience
- 🚀 Start Date: Immediate / Flexible
If you love building things, move fast, and want your first major ML career chapter to actually matter — this is your role.
🔗 Apply now or tag someone who’d be perfect for this.
Drop your GitHub/portfolio link in the comments — we read every one. 👇
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Click on Apply to know more.