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.