Tiger Analytics - AI/ML Lead/Associate Architect

Tiger Analytics

8 - 12 Years

25-40 LPA

Multiple Locations

Artificial Intelligence Machine Learning Azure Snowflake DB Python MLOps

Posted on: 06/07/2026

Job Description

ML Architect - Hands on resource with architecture design experience

Exp : 8 - 12 years

Location : Chennai, Bangalore, Hyderabad, Pune, Delhi/NCR

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 seeking an experienced AI/ML lead/ architect to design, lead, and implement advanced artificial intelligence and machine learning solutions. The ideal candidate will have deep expertise in machine learning frameworks, data pipelines, model lifecycle management, and cloud-based AI services.

Key Responsibilities :

- Design end-to-end AI/ML architectures including data ingestion, model development, training, deployment, and monitoring.

- Evaluate and select appropriate ML algorithms, frameworks and cloud platforms (e.g., Azure, Snowflake).

- Guide teams in model operationalization (MLOps), versioning, and retraining pipelines.

- Ensure AI/ML solutions align with business goals, performance, and compliance requirements.

- Collaborate with cross-functional teams on data strategy, governance, and AI adoption.

What do we expect :

- Strong background in Computer Science, Data Science, or a related field.

- 8+ years of experience in data science, with at least 2 years in a solution architecture role.

- Proficiency in Python, ML libraries, and cloud-native services.

- Experience with large-scale model deployment and performance tuning.