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FounditPosted on 2026-05-18
Tiger Analytics Logo

AIML Engineer / Sr. AIML Engineer (MCP+Cloud Deployment)

Tiger Analytics

ChennaiFull time4-6 yearsNot Disclosed

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aic#cloudPythonpythonserverSecurityKubernetes + 15 more

Job Description

Job Description
AIML Engineer/Sr. AIML Engineer (MCP+Cloud Deployment)
Chennai / Bangalore / Hyderabad

Who we are
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
We are a Great Place to Work-Certified™ (2022-26), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Curious about the role What your typical day would look like
We are looking for MCP Architects/Developers to build reusable MCP frameworks, scalable hosting platforms, and shared tool ecosystems for enterprise-wide agentic solutions, who can design multi-agent orchestration patterns and backend systems (Python/C#) with strong focus on Kubernetes, distributed systems, security, and platform governance.

What do we expect
  • 4+ years of experience
  • MCP server design & tool lifecycle management
  • Multi-agent orchestration patterns
  • Backend systems (Python/C#)
  • Kubernetes, containerization, distributed systems
  • Observability, governance, security, and platform engineering.

You are important to us, let's stay connected!
Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.
We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

About The Company

Tiger Analytics

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.

Company Size1000-5000
Founded2011
HeadquartersSanta Clara, CA
IndustryBusiness Consulting and Services
TypePrivately Held
SpecialitiesMachine Learning, Predictive Analytics, Forecasting, Natural Language Processing, Computer Vision, Cloud Data Platform Engineering, Data-as-a-service, Lean Data Governance, Modern BI & Data Warehousing, AI/ML Ops, and ML Product Engineering

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