Machine Learning Engineer

Tata Consultancy Services; Milford (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Tata Consultancy Services in the United States is seeking an AI/ML engineer focused on Python programming, API development, and cloud-native application development. The role emphasizes building prototypes, accelerators, and enterprise integrations using cloud technologies, with experience in GCP, Vertex AI, Gemini APIs, and AI solution deployment.

The candidate will design agentic AI workflows, AI assistants, and multimodal demonstrations, collaborating with customers and cross-functional teams

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

API development

Cloud-native

AI/LLM prototyping

Prompt engineering

Agentic workflows

REST/microservices

CI/CD

Containerization

Stakeholder communication

Tools

Gemini APIs

Vertex AI

Google Cloud

Job description

• 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