Location
In office (Bengaluru)
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026.
Overview
Company
Impact
Profile match
Tech Mahindra is a prominent Indian multinational information technology services and consulting enterprise specializing in digital transformation, cloud modernization, business process re-engineering, and network services. Headquartered in Pune, Maharashtra, India (with its registered office in Mumbai), the company is a flagship entity of the diversified Mahindra Group conglomerate. Established in 1986 (initially as Mahindra British Telecom), it operates across dozens of countries with a global delivery footprint serving enterprise clients in telecommunications, banking and financial services, healthcare, automotive, and retail. The organization is particularly recognized for its deep engineering heritage in telecommunications and 5G network integration, offering end-to-end solutions spanning artificial intelligence, enterprise application management, customer experience (CX), and next-generation connectivity infrastructure.
Backed by Seafund
Job Description
Skill Set :
AI/ML Engineering
Total Experience :
4.00 to 7.00 Years
No of Openings :
1
Job Post Date :
30/09/2026
Job Expiry Date :
30/11/2026
Domain :
IT
Location :
BENGALURU [India]
Job Reference No :
4110133
Job Summary
Exp : 4 to 7
Location : Only Bangalore / Hyderabad
Below are the JD.
Role Requirements :
- AI/ML experience designing, deploying, and operating production-grade systems with ownership of model lifecycle, reliability, and performance in real-world environments.
- Mastery of ML, deep learning, LLMs, generative AI, and RAG with the ability to evaluate, select, and operationalize state-of-the-art techniques for industrial use cases.
- Strong Python proficiency with hands-on experience building distributed systems, APIs, microservices, and scalable data/ML pipelines.
- Cloud-native deployment experience using Azure or AWS, including Docker/Kubernetes and CI/CD workflows tailored for ML/LLM systems.
- Ability to influence architecture decisions, define reference patterns, and ensure AI systems meet standards for scalability, cybersecurity, and long-term maintainability.
- Cross-functional leadership experience collaborating with engineering, data science, product, and field teams to translate business needs into actionable AI/ML solutions.
Good to have :
- Experience with industrial automation, control systems, or OT networking.
- Knowledge of Honeywell Control Transformers, Network/FTE architectures, or similar industrial product lines.
- Hands-on work with multi-agent systems, autonomous agents, or edge AI, including orchestrating distributed intelligence across constrained or mission-critical environments.
- Experience with AI safety, governance, and explainability, ensuring models meet enterprise standards for transparency, robustness, and responsible deployment.
- Publications, patents, or open-source contributions in AI/ML that demonstrate thought leadership, innovation, and engagement with the broader technical community.
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