Associate PR Manager

This role is at Glance

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI systems.

You will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

Classical ML & Recommendation Systems

• Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
• Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
• Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.

Agentic Systems & Next-Gen AI

• Build and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
• Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.

Cross-functional impact

• Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance’s consumer experiences.
• Contribute to Glance’s ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
• Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
• Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.

The experience we need

We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.

You should have experience with:

• Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
• Classical ML and deep learning techniques across NLP, sequence modeling, RL, clustering, and time series.
• Experience in deploying ML workflows/models in production system
• Big data processing (Spark, distributed data systems) and cloud computing.
• Designing end-to-end ML solutions—from prototype to production.
• Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).

We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.

Qualifications

• Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
• 4+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
• Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
• Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
• Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
• Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
• Comfortable working in cross-functional teams.
• Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
• Excellent communication skills with the ability to simplify complex technical concepts.

Job Description

• Role: Quality Assurance Engineer – Automation (3–4 yrs)

• Location: Bengaluru

• Type: Full-time

Why this role? Join a fast-moving team that’s pushing test automation into the AI era. You’ll own end-to-end quality for web, mobile and API layers, combining Playwright (or similar) with next-gen, AI-driven test platforms to deliver smarter, faster releases.

What you’ll do

• Build & maintain automation with Playwright, Selenium, Cypress or equivalent

• Super-charge coverage using AI-powered tools

• Create, run and optimize manual, API (Postman/Rest Assured) and database (SQL) tests

• Triage results, file defects in Jira, and drive them to closure What you bring

• 3–4 years’ hands-on automation experience

• Strong with Playwright (preferred) or Selenium/Cypress and one scripting language (JS/TS, Python or Java)

• Familiarity with AI-based testing platforms

• Solid API testing & SQL skills; sound grasp of STLC and defect management

• Clear communicator with sharp analytical instincts

• Nice to have: BDD (Cucumber/SpecFlow), performance testing (JMeter/LoadRunner), TestRail/Zephyr, ML model validation Qualifications Bachelor’s in Computer Science, Engineering or related field What’s in it for you?

• Hands-on exposure to cutting-edge AI test automation

• Ownership and room to innovate in a collaborative, high-impact environment

• Competitive pay, flexible policies and a fun teaM

Job description:- 

• Strong experience of Angular along with other technologies like HTML5, CSS, jQuery, AJAX with good knowledge of ECMA Scripts.
• Strong knowledge of JS Fundamentals.
• Design & development of Angular applications as per desired specifications, along with experience in frameworks/libraries like jQuery, Bootstrap, Typescript etc.
• Architecture design, development, testing and maintenance of Web Apps, Implementation based on Angular Application MVC Patterns.
• Own end to end product modules/features (from the requirement to going live)- Design & code review, troubleshoot & help team members on issues.
• Gather requirements by interacting directly with the end-users.
• Research on open source framework/technology required for developing the feature/application.

Role and responsibilities

·      Collect requirements, design, develop and test software code.

·      Fix bugs and provide production support.

·      Prioritize multiple tasks and manage time effectively.

·      Learn new technologies outside his/her primary skills.

·      Develop solutions to challenging problems.

·      Effectively communicate with team members, project managers and clients, as required.

Technical skills requirements

The candidate must demonstrate proficiency in,

·      SQL, PL-SQL & RICE Components.

·      Develop applications, reports and interfaces using standard Oracle development methodologies.

·      BI Publisher, RDF/XML & Discoverer Reports.

·      Form Personalizations.

·      Unit test the reports with standard E-Business suite application.

·      Performance Tuning & Optimization.

·      Table-level technical knowledge of OM, Inventory Management, Purchasing, GL, AR, AP, and FA.

·      SQL Developer, TOAD, SQL Loader

Nice-to-have skills

·         SQL Tuning

·         EBS Finance/SCM functional knowledge

·         Performance Improvements and External Integrations

·         Ability to develop applications and modules keeping scalability and performance in mind.

• Over 2 years of Dynamics NAV consultancy experience/ Minimum 1 Yr experience in Business Central
• Strong understanding of Microsoft Dynamics NAV 2009/2013/2015/2016
• Undertake the design, coding, testing, releasing the code, and NAV / Dynamics 365 Business Central support
• Proficient in RDLC Report Development & SQL Server Database
• Experience working on the technical side of Dynamics NAV / Dynamics 365 Business Central
• Should be fluent and conversant with (A/L, C/AL & C/Side) Programming and ability to do developments independently
• Experience in working on full life cycle implementations across multiple versions of Dynamics NAV
• Excellent understanding and knowledge of core Microsoft Dynamics NAV modules
• Manage resources and deliver project tasks, both external and internal. 
• Communicate and document system specifications for clients and team members. 
• Manage multiple developments and project initiatives at one time, while effectively communicating utilization, roadblocks, and progress to technical leadership and prioritizing based on feedback.
• Strong understanding of Microsoft Dynamics NAV/BC and its modules.
• Strong analytical skills with an ability to diagnose problems quickly and recommend solutions
• Excellent time management skills and ability to meet deadlines and work under pressure