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AI/ML Software Engineer | Machine Learning Developer | Remote
education completed:
masters
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- BSc + MSc in Computer Science
Professional scope:
AI/ML engineering, software development, advanced analytics, enterprise systems
Technical focus areas:
- Speech recognition, voice-to-text, text-to-speech
- ETL and data integration pipelines
- Chatbots, conversational systems for support and automation
- Object detection, image recognition, classification
Machine Learning & AI Capabilities:
- LLM work: local and API-based models
- RAG (Retrieval-Augmented Generation) setups
- ML Ops, AI integration, fine-tuning, LangChain pipelines
- MCP (Model Context Protocol)
- Generative AI deployments, vector databases, secure/guardrail-driven AI usage
LLM Tools & Ecosystem:
- Hugging Face
- OpenAI
- Meta (Llama)
- Google Gemini
- Mistral
- Anthropic Claude
- Additional leading model providers
Core Libraries & Frameworks:
- PyTorch
- LlamaIndex
- Haystack
- Open-source ML stacks
Programming & Software Development:
- Python, Django
- JavaScript, HTML, CSS
Data & Analytics Platforms:
- PostgreSQL, MySQL, SQL Server, Firebase
- Data workflows, data engineering, analytical modeling
Infrastructure & DevOps:
- Docker, Podman
- Apache, Nginx
- VPS deployments, Linux server management
- Ubuntu/Linux, Windows Server
- Cloud setup, self-hosted systems
Development Tools:
- Git, CI/CD pipelines
- VS Code, Eclipse
- Cursor AI, Windsurf
Enterprise & Industry Experience:
- ERP platforms
- Hospital Management Systems
- Custom enterprise-grade applications
Professional strengths:
- Reliable, structured, detail-driven
- Deadline focus
- Remote collaboration or independent work
- Adaptive to changing priorities
- Principals only. Recruiters, please don't contact this poster.