Gemini AI Specialist

Job Description – Gemini Specialist (7–10 Years of Experience)

About the Role

We are seeking a highly skilled Gemini Specialist to design, develop, and deploy advanced AI solutions leveraging Google Gemini models within the Google Cloud ecosystem. The ideal candidate will bring a blend of hands-on technical expertise, solution architecture skills, and the ability to work closely with cross-functional teams to drive innovation and business value.

Responsibilities

Design, implement, and optimize solutions using Google Gemini LLMs for real-world enterprise use cases.

Collaborate with stakeholders to identify opportunities where Gemini AI can enhance processes, products, and customer experiences.

Develop, fine-tune, and deploy Gemini models via Vertex AI , Generative AI Studio , and related GCP services.

Build end-to-end GenAI pipelines integrating Gemini APIs with business applications.

Ensure performance, scalability, and responsible AI compliance in all Gemini-powered solutions.

Evaluate Gemini’s capabilities against other LLMs to recommend best-fit solutions.

Provide thought leadership and mentoring to junior engineers in AI / ML adoption.

Work with BigQuery , Dataflow , Pub / Sub , and Cloud Storage for data preparation and integration.

Stay updated with the latest Gemini advancements and industry AI trends.

Qualifications

7–10 years of experience in software engineering, data science, or AI / ML solutioning.

Proven expertise with Google Cloud Platform (GCP) , especially Vertex AI , AI Studio , and Generative AI APIs .

Hands-on experience in deploying Gemini Pro , Gemini Ultra , or domain-specific Gemini models.

Strong proficiency in Python, Java, or Node.js, with experience in building scalable APIs and applications.

Experience with MLOps, CI / CD pipelines, and monitoring AI workloads.

Knowledge of prompt engineering, fine-tuning, embeddings, and vector databases (Pinecone, Weaviate, Vertex Matching Engine).

Strong background in data engineering and working with structured / unstructured data.

Excellent problem-solving, communication, and stakeholder management skills.

Preferred Skills

Google Cloud certifications such as Professional Cloud Architect , Machine Learning Engineer , or Generative AI Engineer .

Experience with multimodal AI (text, image, audio, video) using Gemini models.

Knowledge of responsible AI practices, bias mitigation, and explainability techniques.

Prior experience in building enterprise-grade AI applications in domains like BFSI, Healthcare, Retail, or Telecom.