Senior Hiring - DE+AI

Senior Hiring – DE+AI

Location: India

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™ (2022-24), 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.

What your typical day would look like?

As Part Of This Role, You Will

Architect End-to-End Agentic AI Systems: Lead the design, solutioning, and deployment of multi-agent LLM systems, RAG architectures, and autonomous workflows capable of solving complex enterprise challenges.
Bridge AI & Data Engineering: Architect and optimize large-scale data lake environments, distributed computing frameworks, and high-throughput real-time streaming pipelines explicitly designed to feed and power GenAI applications.
Drive Unit Alignment & Tech Solutioning: Partner closely with business unit leaders and executive stakeholders to translate vague business challenges into concrete, high-impact AI/DE roadmaps and technical solutions.
Productionize & Scale MLOps/LLMOps: Establish and govern scalable MLOps and CI/CD pipelines to deploy, monitor, and continuously retrain agentic systems, effectively managing challenges like hallucination, bias, latency, and costs.
Lead & Mentor Across Disciplines: Formally lead and mentor cross-functional technical teams comprising Data Engineers, AI Researchers, and Data Scientists, fostering technical excellence and cross-disciplinary innovation.
Evaluate & Innovate: Continuously explore, prototype, and benchmark emerging open-source and proprietary tools within the evolving GenAI and Big Data landscapes to maintain a competitive technical edge.

Who do we expect ?

15+ years of overall technical experience in the Data Science, Analytics, and Data Engineering spaces.
5+ years of hands-on experience specifically within the Hadoop/Spark ecosystem or large-scale cloud data architecture.
3+ years of leadership experience managing, mentoring, and scaling high-performing, cross-functional technical teams.
AI & Generative AI Technical Depth: Advanced expertise in LLMs, prompt engineering, RAG, and fine-tuning (LoRA, PEFT). Proven experience building and deploying autonomous LLM Agents using frameworks like LangChain, LlamaIndex, CrewAI, or AutoGen. Strong foundations in Deep Learning, ML, PyTorch, or TensorFlow.
Data Engineering & Architecture Depth: Hands-on mastery of the Big Data ecosystem (HDFS, Hive, Kafka, Spark, Scala) , modern platforms (Databricks, Snowflake), and Data Lake design. Proficient in NoSQL/Vector databases (Cassandra, Pinecone, Milvus) and optimizing distributed computing for massive AI workloads.
Cloud, Infrastructure & MLOps: Proven experience architecting large-scale cloud solutions (AWS, Azure, or GCP) with robust MLOps/DataOps pipelines, containerization (Docker, Kubernetes) , and microservices-driven backend APIs (FastAPI/Django).

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.