---
title: "Data Science Lead - R01570082"
company: "Brillio"
company_url: "https://www.remjobs.works/companies/brillio"
url: "https://www.remjobs.works/job/brillio-data-science-lead-r01570082-b2e76856-5bd2-4375-b550-022d6b1f5cca"
apply_url: "https://jobs.lever.co/brillio-2/06f3848e-d618-43fb-bb3c-1c5a10d556c4"
workplace: onsite
location: "Bangalore, Karnataka, India"
employment_type: full-time
seniority: lead
role: data
region: india
skills: ["azure", "llm", "python", "pytorch", "tensorflow"]
date_posted: 2026-09-02T06:54:20.499Z
first_seen_by_remjobs: 2026-09-15T19:10:15.602Z
---

# Data Science Lead - R01570082

**Brillio** · Bangalore, Karnataka, India

Apply: https://jobs.lever.co/brillio-2/06f3848e-d618-43fb-bb3c-1c5a10d556c4

## About the role

$2

##### Job requirements

With at least 8 years of experience in technical product management, engineering management, or similar roles leading technical teams in AI/ML or data-driven product development **Key Responsibilities:**

- Set strategic priorities and determine team focus across AI Enablement and AI Experiments tracks, ensuring measurable progress toward organizational goals

- Serve as the primary liaison with internal business teams to understand workflows, gather requirements, and translate business pain points into actionable technical work

- Collaborate with product teams to align exploration and experimentation efforts with broader product direction

- Lead the team’s operating rhythm, including stand-ups, demos, planning sessions, and progress readouts to leadership and stakeholders

- Allocate resources across workstreams, moving team members based on shifting priorities to maximize impact and efficiency

- Evaluate and shut down experiments or projects that are not delivering results, reprioritizing efforts swiftly and effectively

- Guide the team’s technology roadmap by making decisions on model selection, infrastructure, build-vs-buy tradeoffs, and adoption of new tools

- Define and evolve AI governance and compliance practices, establishing guardrails for responsible AI use, data handling, and decision explainability

- Manage and optimize AI infrastructure spend, tracking LLM costs, token usage patterns, and vendor contracts to ensure cost-effective operations**Required Skills:**

- Advanced proficiency in Python for code review, scripting, and prototyping

- Strong understanding of LLM-based systems, including retrieval-augmented generation pipelines

- Experience with ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn

- Hands-on experience with Azure cloud infrastructure for deploying, monitoring, and scaling AI workloads

- Expertise in statistical analysis and computing, including hypothesis testing, t-test, z-test, and regression techniques

- Proficiency in forecasting techniques including exponential smoothing, ARIMA, and ARIMAX

- Knowledge of classification algorithms such as decision trees and SVM

- Familiarity with tools like KubeFlow and BentoML for ML lifecycle management

- Understanding of probabilistic graph models and advanced distance metrics (Hamming, Euclidean, Manhattan)**Preferred Skills:**

- Experience with agent orchestration patterns for multi-step AI workflows

- Expertise in prompt engineering to optimize output quality in LLM-based systems

- Proficiency with Great Expectations and Evidently AI for data validation and monitoring

- Experience defining AI governance frameworks for compliance and responsible data handling**Desired Qualifications:**

- Bachelor's degree in Computer Science, Data Science, Statistics, Information Technology, or a closely related discipline

- Certification in Machine Learning, Data Science, or Artificial Intelligence from a recognized institution

- Certification in Azure AI or Cloud Services (such as Microsoft Certified: Azure AI Engineer Associate)

---

Source: Brillio's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/brillio-data-science-lead-r01570082-b2e76856-5bd2-4375-b550-022d6b1f5cca