Machine Learning Engineer
Tata Consultancy Services
- Must have strong hands-on experience in Python programming, API development, and cloud-native application development (4 Years Minimum).
- Must have experience building prototypes, solution accelerators, and enterprise integrations using cloud technologies.
- Must have two years’ experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs, or similar AI platforms.
- Must have experience in Prompt Engineering, LLM application development, and AI solution implementation.
- Must have experience developing Agentic AI workflows, AI agents, and orchestration frameworks.
- Must have experience with REST APIs, microservices, and third-party system integrations.
- Must have experience working with containerization, CI/CD, and production deployment practices.
Must possess strong stakeholder communication and customer-facing solutioning skills
Preferred Skills
Google Professional ML Engineer certification is preferred.
Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.
- Design and develop AI-powered prototypes, accelerators, and customer-facing solutions.
- Build and integrate applications using Gemini APIs, Vertex AI, and Google Cloud services.
- Develop agentic workflows, AI assistants, and multimodal solution demonstrations.
- Collaborate with customers, partners, and cross-functional teams to validate business use cases.
- Translate business requirements into scalable technical architectures and solutions.
- Build Proof of Concepts (PoCs) and demonstrate business value through rapid prototyping.
- Support deployment, optimization, and troubleshooting of AI solutions in cloud environments.
Stay current with emerging AI technologies and apply them to customer scenarios
#J-18808-LjbffrVacancy posted 17 hours ago
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