Related skills
python mlops rag langchain llamaindex📋 Description
- Design and execute AI/ML models – fine-tuned LLMs and RAG.
- Lead experimentation: hypotheses, tests, analyze results.
- Serve as SME for GenAI/LLM tools from architecture to deployment.
- Productionize models with software/data eng; CI/CD with MLOps/LLMOps.
- Stay current on AI methods like agentic workflows and embeddings.
- Promote AI adoption by educating cross-functional partners.
🎯 Requirements
- 5+ years in data science/ML engineering or related analytics.
- Production deployment experience; ideally with LLMs/GenAI.
- Bachelor’s or higher in a quantitative field.
- Proficiency with ML frameworks and GenAI stacks (LangChain, LlamaIndex, Transformers, OpenAI).
- Experience with domain-specific datasets and fine-tuning.
- Familiarity with RAG, vector databases, and agentic reasoning (ReAct, AutoGPT).
- Comfortable with MLOps/LLMOps practices: versioning, tracking, deployment, monitoring.
🎁 Benefits
- 100% Remote Work: work from anywhere with internet.
- Competitive USD pay above market rates.
- Paid time off for well-being and recharge.
- Autonomy to manage your time and deliver results.
- Work with top American companies on high-impact projects.
- Global network with 600+ professionals in 25+ countries.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!