Freelance AI Engineer

Job Summary

Key Responsibilities

• Develop and deploy AI-powered applications, chatbots, virtual assistants, and automation solutions.
• Build and fine-tune Machine Learning and Deep Learning models.
• Design and implement Generative AI solutions using Large Language Models (LLMs).
• Integrate AI solutions with websites, mobile applications, ERP systems, and business platforms.
• Develop Retrieval-Augmented Generation (RAG) systems and AI agents.
• Analyze business requirements and recommend suitable AI technologies.
• Prepare technical documentation and deployment guides.
• Conduct testing, troubleshooting, and optimization of AI applications.
• Ensure data security, privacy, and compliance with industry best practices.
• Provide post-deployment support and maintenance when required.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field (preferred).
• Proven experience in AI/ML development and deployment.
• Strong proficiency in Python and AI development frameworks.
• Experience with Generative AI platforms and APIs.
• Knowledge of NLP, Machine Learning, and Deep Learning techniques.
• Experience integrating AI solutions through APIs and cloud services.
• Strong problem-solving and communication skills.
• Ability to work independently and meet project deadlines.

Technical Skills

• Python

• TensorFlow, PyTorch, Scikit-learn

• OpenAI, Gemini, Claude, or similar AI platforms
• LangChain, LlamaIndex
• RAG Architecture and AI Agents
• SQL and NoSQL Databases

• Vector Databases (Pinecone, ChromaDB, Weaviate)

• REST APIs
• Docker and Cloud Platforms (AWS, Azure, GCP)

• Intelligent Document Processing (IDP)

• OCR and Computer Vision Applications

• Business Process Automation

• Predictive Analytics and Data Science Projects
• MLOps and Model Deployment

Deliverables

• The selected freelancer may be required to:
• Develop custom AI applications.
• Create AI-powered customer support solutions.
• Automate business processes using AI.
• Build intelligent document management systems.
• Integrate AI models with existing software platforms.
• Provide training and knowledge transfer to internal teams.

Contract Terms

• Project-based or hourly engagement.
• Flexible working hours.
• Remote work arrangement.
• Payment based on agreed milestones and deliverables.
• Opportunity for long-term collaboration on future AI projects.

How to Apply

• Interested candidates should submit:
• Updated CV/Resume
• Portfolio of AI projects
• GitHub or relevant technical profiles
• Only candidates with demonstrated experience in AI development and successful project delivery will be considered.

Application Question(s)

• What is your expected Salary?
• Can you join immediately after selection?

Education

• Bachelor's (Preferred)