Learn About The Popular Technical Roles

Full Stack Web Developer

Proficient in both front-end and back-end development, building robust, scalable web applications.

Key Skills

  • JavaScript, HTML, CSS
  • Node.js, React, Angular
  • REST APIs, Databases

 

Software Architect

Design high-level architecture for complex systems, ensuring scalability, security, and performance, while shaping the foundation for any tech project.

Key Skills

  • System Design, Microservices
  • Cloud Architecture (AWS, Azure)
  • DevOps & CI/CD Best Practices
AI Scientist

Pushes the boundaries of artificial intelligence, developing ethical models & algorithms that solve complex problems.

Key Skills

  • AI Model Development
  • Neural Networks, Deep Learning
  • Reinforcement Learning
  • AI Ethics, Research
AI Prompt Engineer

Specializes in designing and fine-tuning AI prompts to optimize model responses, working closely with large language models (LLMs) to improve accuracy.

Key Skills

  • NLP Prompt Design
  • LLM Fine-Tuning (GPT)
  • AI Model Interaction
ML Engineer

Build and deploy machine learning models that can analyze data and generate insights. They work closely with data scientists and software engineers.

Key Skills

  • Model Training & Deployment
  • Python, TensorFlow, PyTorch
  • Data & Feature Preprocessing
MLOps Engineer

Focus on automating the lifecycle of machine learning models, from development to deployment and monitoring.

Key Skills

  • CI/CD for Machine Learning
  • Model Monitoring & Logging
  • Kubernetes, Docker, Cloud Platforms
LLMOps Engineer

Specializes in managing large language models (LLMs), ensuring their deployment, scaling, and ongoing optimization in production environments.

Key Skills

  • LLM Deployment & Optimization
  • Model Versioning & Monitoring
  • Cloud Integration & Scaling
RAG Engineer

Work at the intersection of retrieval and generation models, focusing on building AI systems that combine search with generative AI.

Key Skills

  • Retrieval-Augmented Models
  • Search Algorithms & Generative AI
  • Custom Knowledge Integration
NLP Engineer

Focus on developing and refining algorithms that enable machines to understand and generate human language.

Key Skills

  • Text Processing & Classification
  • Speech-to-Text, Text-to-Speech
  • NLP Libraries (SpaCy, NLTK)

 

Data Scientist

Analyze and interpret complex datasets to provide actionable insights to solve business problems and guide decision-making.

Key Skills

  • Data Mining & Statistical Analysis
  • Machine Learning Algorithms
  • LLMs, Python, R, SQL
Cloud Engineer

Design, deploy, and manage cloud infrastructure, ensuring scalability, security, and performance for applications.

Key Skills

  • Cloud Architecture Design
  • Infrastructure as Code (IaC)
  • Kubernetes, Docker, Terraform

 

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