Lead AIML Engineer / Associate Principal - ML Architect

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 Machine Learning & AI Platform Lead to spearhead our AI initiatives, manage end-to-end deployments, and drive our technical strategy. In this dual-capacity role, you will guide our teams in model operationalization (MLOps) while owning the Token Platform and AI Gateway. The ideal candidate brings a deep technical background in ML engineering and cloud-native services, coupled with strong leadership skills to align our AI adoption roadmap with overarching business goals.

Key Responsibilities :

Leadership & Strategy

• Ensure all AI/ML solutions align with business objectives, performance metrics, and compliance requirements.
• Collaborate with cross-functional teams to shape data strategy, data governance, and the organization's AI adoption roadmap.
• Manage and lead the Token Platform and AI Gateway.
• Guide and mentor engineering teams in model operationalization (MLOps), model versioning, and building robust retraining pipelines.

Core Engineering & Model Development

• Evaluate and select the most appropriate ML algorithms, frameworks, and cloud platforms for business needs.
• Build and optimize batch jobs for heavy data processing and model training.
• Oversee Generative AI evaluations and lead the implementation of content filters.
• Conduct thorough code reviews to maintain the highest standards of code quality and performance.
• Own and manage end-to-end ML and platform deployments.

What we look for?

• Languages & Frameworks: High proficiency in Python, modern ML libraries, and cloud-native development.
• Cloud Platforms: Deep expertise in Azure (Azure Machine Learning Studio, Azure AI Foundry, Functions App, Cosmos DB, Azure DevOps, Key Vault) OR equivalent experience in AWS or GCP.
• Data & AI Platforms: Hands-on experience with Snowflake AI services, specifically Cortex AI and Snowpark Container Services (SPCS).
• Scale & Performance: Proven track record of large-scale model deployment, infrastructure management, and continuous performance tuning.

Qualifications & Experience

• Experience: 10+ years of strong, hands-on experience in Machine Learning Engineering and MLOps.
• Bonus/Preferred: A solid background in platform engineering or platform operations is considered a strong added advantage.

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.

Mandatory Skills

ML Ops,Python,Azure,Snowflake,Deployment,ML Platform

Education Qualification

B.E/B.Tech

Experience

10 to 12 years