AI/ML Engineer – Machine Learning, Deep Learning & AI Applications
Arranto is looking for an AI/ML Engineer to build practical, production-ready AI applications across Machine Learning, Deep Learning, LLMs, AI agents, RAG systems, data pipelines, and intelligent software architectures.
Arranto is looking for an AI/ML Engineer to join our team and work on building practical, production-ready AI applications.
This role is for someone who is genuinely interested in Machine Learning, Deep Learning, LLMs, AI agents, and intelligent software systems — not just someone who has experience calling an AI API.
You will work on building AI-powered products and internal systems similar in complexity to modern AI applications such as intelligent research, prospecting, coding, automation, and productivity tools.
The ideal candidate should be comfortable going from an idea or prototype to a working application, including the AI/ML layer, backend integration, data processing, evaluation, and deployment.
What You'll Work On
AI Product & Model Development
- ▪Build AI-powered web applications and intelligent software products.
- ▪Develop and integrate Machine Learning and Deep Learning models.
- ▪Work with LLMs, embeddings, vector databases, RAG, AI agents, and tool calling.
- ▪Build AI systems that can research, reason, retrieve information, process data, and perform actions.
Data Pipelines & Fine-Tuning
- ▪Develop intelligent automation and workflow systems.
- ▪Work with structured and unstructured data, building ingestion and preprocessing pipelines.
- ▪Build robust data pipelines for training, evaluation, and inference.
- ▪Experiment with different models, prompts, architectures, and fine-tune or adapt models when required.
Backend, Scaling & Production
- ▪Build model evaluation, hallucination detection, and testing systems.
- ▪Integrate AI systems with APIs, databases, microservices, and external tools.
- ▪Develop backend services required to support AI applications.
- ▪Optimize AI applications for reliability, latency, scalability, and compute/token cost.
- ▪Deploy and maintain AI/ML systems in production environments.
Technologies & Concepts
- ▪Machine Learning & Deep Learning fundamentals
- ▪Neural networks & model training/evaluation
- ▪Classification, regression, clustering & recommendation systems
- ▪Natural Language Processing (NLP)
- ▪PyTorch and/or TensorFlow
- ▪NumPy, Pandas, Scikit-learn
- ▪Computer Vision is a plus
- ▪Large Language Models (LLMs)
- ▪RAG (Retrieval-Augmented Generation) architectures
- ▪Embeddings & vector search (Chroma, pgvector, Qdrant)
- ▪AI agents, multi-agent orchestration & tool/function calling
- ▪Prompt engineering, evaluation & fine-tuning
- ▪Open-source model inference & local deployment
- ▪Strong Python programming
- ▪REST APIs & backend development (FastAPI / Node)
- ▪Databases & SQL (PostgreSQL, Redis)
- ▪Git / GitHub version control
- ▪Docker & containerization (is a plus)
- ▪Cloud deployment & monitoring (is a plus)
We are not looking for someone who only knows how to connect an OpenAI/Claude/Gemini API to a website. We want an engineer who understands what is happening underneath and can work across the AI/ML stack — from data and models to backend systems and the final application. A strong GitHub project or live portfolio is highly valued!
What We're Looking For
- ✓Strong understanding of Machine Learning and Deep Learning concepts.
- ✓Strong Python programming and problem-solving skills.
- ✓Ability to understand technical papers, documentation, and concepts independently.
- ✓Ability to turn an AI/ML concept into a working, reliable production application.
- ✓Understanding of model evaluation and the difference between a prototype and a production system.
- ✓Curiosity about new AI technologies and willingness to experiment.
- ✓Self-discipline to work autonomously in a 100% remote setup.
- ✓0–3+ years of relevant experience. Open to fresh graduates, self-taught developers, and experienced engineers.
What You Can Expect
- 01Remote, full-time flexibility from anywhere in the world.
- 02Opportunity to work on real, cutting-edge AI/ML products and agentic systems.
- 03Freedom to experiment with modern architectures, models, and research techniques.
- 04Performance-based compensation and direct career growth.
- 05Collaborative, high-ownership engineering environment with zero bureaucratic friction.
Apply for AI/ML Engineer
Complete the application form below. We evaluate practical engineering depth, communication clarity, and candidate portfolio.
Direct Application via Email
You can also send your resume, GitHub link, and project portfolio directly to:
help@arranto.com →(Please include “AI/ML Engineer – Machine Learning, Deep Learning & AI Applications” in your email subject line)