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Machine Learning Engineer

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Onsite

Machine Learning Engineer

Tata Consultancy Services

Machine Learning Engineer

Skills

Google Cloud PlatformPythonMicroservicesData AnalysisMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$100,000 – $175,000 / year

Location:

Milford, OH, USA

Work mode:

Onsite

Published on:

1 September 2026

What they need


Title - AI ML Engineer

Location - Milford, OH

Type of hire - Full Time

Job Description

Must Have Technical/Functional Skills

Must-Have Skills and Experience

  • 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.

  • Gemini Enterprise Partner Certification preferred.

  • Google Associate Cloud Engineer certification preferred.

  • Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.

Roles & 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.

Stay current with emerging AI technologies and apply them to customer scenarios

Salary Range: $100000 - 175,000 a year

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