Related skills
python apis mlops rag langchain📋 Description
- Design and deploy AI/ML models, incl. fine-tuned LLMs and RAG architectures.
- Lead experiments: define hypotheses, design tests, analyze results.
- Act as technical SME for GenAI/LLM tools, from architecture to deployment.
- Productionize models with CI/CD pipelines and MLOps/LLMOps practices.
- Explore agentic workflows and multimodal embeddings in real apps.
- Educate cross-functional partners; drive AI adoption and workflows.
🎯 Requirements
- 5+ years in data science, ML engineering, or related analytics.
- Production deployment of ML models, ideally with LLMs/GenAI.
- Bachelor’s or higher in CS, Engineering, Statistics, Mathematics, or related.
- Experience with consumer data in media/entertainment/marketing research is a plus.
- Proficiency with modern ML frameworks and GenAI stacks (LangChain, LlamaIndex, transformers, OpenAI).
- Experience fine-tuning models with domain-specific datasets (survey, behavioral, audience).
🎁 Benefits
- 100% Remote Work; work from anywhere.
- Highly Competitive USD pay; market-leading compensation.
- Paid Time Off for wellbeing and recharge.
- Autonomy to manage your time and deliver results.
- Work with Top American Companies on high-impact projects.
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