Senior AI/ML Engineer – GEO/AEO ( GB05 )
Listing checked August 24, 2026 · pay as published by Talentxo
Overview
A Senior AI/ML Engineer in Pune owns production-grade Generative AI and machine learning solutions spanning GEO, AEO, and SGE initiatives. The role centers on improving visibility and discoverability across AI-driven search and generative interfaces. Work applies LLMs, NLP, semantic search, embeddings, RAG, vector databases, and information retrieval. Collaboration spans product, engineering, content, SEO, marketing, and business teams. What makes this role different is its focus on understanding how AI search systems discover, retrieve, and rank content, then translating those insights into measurable visibility and user experience gains.
What You'll Do9
- 1Design, develop, and deploy production-grade AI/ML and Generative AI solutions.
- 2Drive GEO, AEO, and SGE initiatives to improve visibility and discoverability across AI-driven search and generative interfaces.
- 3Improve content, data, and digital experiences for AI-powered search, conversational queries, and LLM-based experiences.
- 4Develop and implement solutions using LLMs, NLP, semantic search, embeddings, RAG, vector databases, and information retrieval.
- 5Analyze search intent, AI-generated responses, retrieval patterns, citations, ranking signals, and content discoverability to identify improvement opportunities.
- 6Build experiments, evaluation frameworks, and measurement approaches to assess GEO/AEO effectiveness and AI search performance.
- 7Collaborate with product, engineering, content, SEO, marketing, and business teams to translate business requirements into scalable AI solutions.
- 8Monitor AI/ML solution performance and improve accuracy, relevance, latency, scalability, and user experience.
- 9Stay current with developments in Generative AI, AI search, LLMs, GEO, AEO, SGE, and emerging search technologies.
Requirements6
- 15+ years of experience in AI/ML engineering, with strong expertise in Generative AI and NLP.
- 2Hands-on experience with LLMs, semantic search, embeddings, RAG, vector databases, and information retrieval.
- 3Practical experience with GEO, AEO, and SGE initiatives.
- 4Ability to build scalable AI solutions and convert business requirements into technical designs.
- 5Understanding of how AI-driven search systems discover, retrieve, rank, and generate information.
- 6Experience working with product, engineering, content, SEO, marketing, and business teams.
Who Should Apply
The ideal candidate is a Senior AI/ML Engineer with 5+ years of experience who wants to build production-grade AI solutions. They combine hands-on Generative AI and NLP expertise with practical GEO/AEO/SGE experience. This person understands how AI search systems discover, retrieve, and rank information, and can convert those insights into measurable visibility and relevance improvements. They collaborate across product, engineering, content, SEO, marketing, and business teams.
Salary Insight
Open to Discussion
Pay and demand for Machine Learning & AI roles
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$75/hour
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Pay not disclosed
Most Machine Learning & AI roles pay $55–$100 per hour.
Based on 594 similar roles that publish pay · 98 publish only a top rate; those count at the rate they gave
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Most requested skills · share of roles
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- technical writing9%
- llm evaluation7%
- ai evaluation6%
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Required Skills
Application Tip
Describe a GEO/AEO project where you used RAG and vector databases to improve AI search visibility, and include the specific metrics you tracked to measure success.
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