AI Engineer

Mahindra Careers; Mumbai; Vor Ort; INR 1.800.000 - 3.200.000; Vollzeit

Zusammenfassung

Mahindra And Mahindra Ltd. seeks an AI Engineer to lead the development, deployment, and scaling of Generative AI products across engineering and enterprise domains. You will drive end-to-end product lifecycles and define measurable AI outcomes.

Ideal candidates bring 3–5 years of product management with 2–3 years in AI/ML, a Bachelor's degree in CS/Engineering/Business, and preferably a Master's degree. This role focuses on scalable, enterprise-grade AI solutions within a collaborative, diverse

Qualifikationen

• Strong educational foundation in technology, business, or related fields.
• 3–5 years progressive experience building and scaling technology products, with 2–3 years in AI or ML.
• Bachelor's degree in Computer Science, Engineering, Business, or related field; Master's degree preferred

Aufgaben

• Drive end-to-end lifecycle of AI products and solutions across engineering and enterprise domains.
• Guide platform architecture, integration strategy, deployment standards, MLOps practices, scalability, reliability, and governance.
• Translate AI capabilities into scalable enterprise solutions working with cross-functional teams.

Ausbildung

Bachelor's degree in Computer Science, Engineering, Business, or related field

Master's degree preferred

Jobbeschreibung

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The AI Engineer role will drive development and deployment of Generative AI solutions across engineering and enterprise domains.

Role Purpose

Drive the development, deployment, and scaling of Generative AI products, agentic AI solutions, and intelligent engineering platforms. Work closely with engineering, research, and business teams to translate AI capabilities into scalable enterprise solutions.

Key Responsibilities:

• Drive end-to-end lifecycle of AI products; drive development of LLM, RAG, AgenticAIand multimodal AI solutions; define AI success metrics and business outcomes.
• Guideplatformarchitecture, integration strategy, deployment standards MLOpspractices, scalability, reliability, and governance.

Experience

Candidates must possess a strong educational foundation in technology, business, or related fields, combined with substantial professional experience in product management and AI domains. The ideal candidate brings 3 to 5 years of progressive experience building and scaling technology products, with at least 2 to 3 years specifically focused on AI or machine learning

Qualifications

Bachelor's degree in Computer Science, Engineering, Business, or related field; Master's degree preferred

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