Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 7+ years of hands-on experience in applied machine learning and data science

• 2+ years in a leadership or managerial role

• Success in adapting foundation models through fine-tuning or transfer learning

Other Requirements:

• Expertise with PEFT approaches (LoRA, prefix tuning, etc.)

• Proficiency in PyTorch, TensorFlow, and Hugging Face

• Knowledge of GPU/TPU optimization and scaling ML workloads

Responsibilities:

• Lead and mentor a team of applied scientists and ML engineers

• Translate cutting-edge research into practical, scalable business solutions

• Design, evaluate, and improve models using robust validation strategies

• Collaborate with product, engineering, and business stakeholders

• Articulate complex ML concepts to technical and non-technical audiences

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 3+ years of hands-on experience in applied machine learning and data science

• Experience training and fine-tuning large-scale models (LLMs, transformers)

• Experience working on applied AI problems across NLP or computer vision

Other Requirements:

• Hands-on expertise with PEFT approaches such as LoRA

• Proficiency in PyTorch, TensorFlow, and Hugging Face

• Knowledge of GPU/TPU optimization and mixed precision training

Responsibilities:

• Design, evaluate, and improve models using validation strategies

• Adapt foundation models to domain-specific applications

• Collaborate with product and engineering stakeholders

• Translate research into practical, scalable solutions

• Provide technical guidance to junior scientists

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 5+ years of hands-on experience in applied machine learning and data science

• Experience in training and fine-tuning large-scale models

• Proven record of adapting foundation models through transfer learning

Other Requirements:

• Expertise in PEFT approaches and quantization-aware training

• Proficiency in Spark, Databricks, or cloud-native ML services

• Excellent communication and presentation skills

Responsibilities:

• Lead and mentor a team of applied scientists and ML engineers

• Design, evaluate, and improve models using bias/fairness checks

• Work with product and engineering teams to deliver AI solutions

• Translate research breakthroughs into scalable production systems

• Ensure performance optimization of AI models

Experience Requirements:

• 8-10+ years of software engineering experience

• 3+ years in Senior IC roles

• In-depth knowledge of LLMs and agent frameworks (LangChain, LlamaIndex)

• Strong expertise in vector DBs (FAISS, Pinecone, Milvus)

Other Requirements:

• Proficient in Python and at least one systems language (Go, Java, or C++)

• Track record with RAG pipelines

• Strong background in system design

Responsibilities:

• Define and drive architecture for agentic AI systems

• Design frameworks for agents to autonomously analyze data

• Build scalable retrieval systems leveraging vector databases

• Design evaluation datasets and benchmarking frameworks

• Provide technical guidance and mentor engineers

Experience Requirements:

• 8+ years of experience in software engineering

• 3+ years of experience in leading small to medium-sized teams

• Expertise in scalable, distributed systems

Other Requirements:

• Knowledge of AWS, Spark, Databases, and Kubernetes

• Data-intensive application experience (ETL/ELT) is a plus

• High level of independence

Responsibilities:

• Build a reliable, scalable crawl platform for unified data

• Define and drive technical strategy and team roadmap

• Lead high-impact projects and handle ambiguous problem statements

• Own system design, architecture, and observability

• Mentor and lead engineers, fostering technical excellence

Other Requirements:

• Research and compiling data skills

• Proactive attitude

Responsibilities:

• Research, compile data and compose correspondence

• Provide admin assistant support to global central labs

• Take initiative in providing back-up support materials for manager

• Handling QC review to support labs

• Maintain database or track departmental information

Education Requirements:

• Bachelor's Degree in Science or related field

Experience Requirements:

• Minimum 2 years clinical/research industry experience

• 1 year project management/set up experience

Other Requirements:

• Strong interpersonal skills

• Computer proficiency with Microsoft Office

• Knowledge of Project Management processes

• Accuracy and attention to detail

Responsibilities:

• Manage the process of designing and launching clinical research studies

• Develop database design requirements and configuration

• Collaborate with colleagues on project timelines and issues

• Manage action/issues logs, status sheets, and timelines

• Communicate set-up activities with clients and internal customers

Benefits:

• Flexible work environment

• Growth & Impact

• Innovative AI Platform

• Collaborative Culture

Education Requirements:

• Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Business)

• Master's degree (MBA or M.S.) or professional certification is a plus

Experience Requirements:

• 7-15 Years

• 7 - 10 years of experience in program or project management

• Minimum of 3 years focused on delivering technology solutions to BFSI clients

Other Requirements:

• Understanding of SaaS/PaaS delivery models

• Understanding of regulatory frameworks in BFSI sector

Responsibilities:

• Lead Program Delivery for large-scale PaaS implementation

• Act as the primary point of contact for client leadership

• Ensure Compliance & Quality with BFSI standards

• Coordinate Cross-Functional Excellence

• Manage Performance & Risk

Benefits:

• Learning & Upskilling reimbursement (up to ₹12,000/year)

• Wellness & Leisure Allowance (₹24,000/year)

• Comprehensive Health and Accident Insurance

• Weekly Friday Treats (snacks)

• Quarterly Team Outings

Education Requirements:

• Bachelor’s degree (in any discipline)

Experience Requirements:

• 1-2 year of experience in an SDR, lead generation, or inside sales role (preferred but not mandatory)

Other Requirements:

• High motivation to build a career in tech sales

• Excellent verbal and written communication skills

• Confidence in reaching out via email, LinkedIn, and phone calls

• Strong research skills and a problem-solving mindset

• Familiarity with CRM tools like HubSpot or Salesforce is appreciated

Responsibilities:

• Research and identify new business opportunities through online research and campaigns

• Convert and qualify marketing-generated inbound leads into sales-ready opportunities

• Perform client needs analysis and tailor outreach messaging

• Build meaningful relationships with prospects for handoff to the Sales team

• Maintain and nurture a healthy sales funnel and re-engage dormant leads

Benefits:

• Learning & Upskilling reimbursement

• Weekly Friday Treats

• Friday Fun & Wellness sessions

• Quarterly Team Outings

Other Requirements:

• Strong analytical and problem-solving skills

• Familiarity with statistical techniques

• Experience analyzing structured/unstructured data

• Basic knowledge of data visualization tools (Excel, Tableau, Power BI)

• Excellent communication skills

Responsibilities:

• Explore and analyze large conversational datasets to identify patterns

• Perform correlation and statistical analysis to uncover insights

• Assist in the development of data labs reports with recommendations

• Collaborate with cross-functional teams to interpret analytical results

• Support data visualization efforts and create presentations for stakeholders

Experience Requirements:

• 1–3 years of experience in Quality Analysis, contact center QA, or process excellence

Other Requirements:

• Good understanding of quality frameworks and SLA-driven environments

• Hands-on experience with AI tools and cloud-based platforms

• Ability to use ChatGPT, Convin AI, or similar tools for insights

• Strong analytical, communication, and problem-solving skills

• Comfortable working in fast-paced, tech-first environments

Responsibilities:

• Conduct quality audits for client accounts to ensure SLA adherence

• Use AI-driven tools to improve audit efficiency and generate insights

• Support creation and maintenance of SOPs, scorecards, and frameworks

• Analyze audit findings and provide data-backed improvement recommendations

• Collaborate with CSMs, Product, and Engineering to support improvements

Benefits:

• Opportunity to work alongside the best minds in the industry

Education Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field

Experience Requirements:

• 2-5 years

• 4-5 years

Other Requirements:

• Solid understanding of LLM architectures

• Strong programming skills in Python

• Experience integrating OpenAI, Anthropic, or open-source models

• Familiarity with emerging LLM protocols such as MCP

• Comfort with cloud platforms (AWS/GCP) and Docker/K8s

Responsibilities:

• Design and implement LLM-based features across Qure’s products

• Build internal tools, APIs, and developer-facing utilities

• Collaborate on modular workflows (RAG, chaining, structured prompting)

• Evaluate model performance and behavior using human feedback and metrics

• Optimize latency, cost, and reliability of LLM systems

Benefits:

• Competitive compensation and rewards

• Opportunity to grow with a young company

• Inclusive workspace

Experience Requirements:

• 3-5 Years

Other Requirements:

• Familiarity with technical hiring (Software Engineers, Data, DevOps)

• Hands-on experience with LinkedIn sourcing and ATS tools

• Strong communication and follow-up skills

• Exposure to hiring for global roles

Responsibilities:

• Manage the complete recruitment lifecycle for assigned roles

• Partner with hiring managers to understand role requirements

• Coordinate interviews and gather feedback

• Source candidates using platforms like LinkedIn and job portals

• Conduct initial screening calls

Benefits:

• Competitive salary

• Comprehensive benefits

• Professional growth and leadership opportunities

• Supportive and fast-paced environment

Education Requirements:

• Bachelor's degree in computer science or a related field

Experience Requirements:

• 4+ years

• 5+ years of experience in frontend development

Other Requirements:

• Focus on JavaScript, TypeScript, React

• Working knowledge of Next.js and Tailwind CSS

• Experience with animation libraries (React Spring, Framer Motion)

• Familiarity with Frontend DevOps tools like Vercel and Docker

• Excellent communication skills

Responsibilities:

• Develop and maintain robust frontend components

• Translate UI/UX designs into user-friendly elements

• Optimize application performance and responsiveness

• Contribute to the development of a component library

• Ensure cross-browser compatibility and debugging

Education Requirements:

• Bachelor's degree in Marketing, Advertising, or Business

Experience Requirements:

• Experience in advertising solutions including sales, ad operations, and online marketing

Other Requirements:

• Master's degree or above in quantitative field preferred

• 2+ years of B2B sales or account manager experience

• 2 years of sales experience in FMCG, BFSI or Media industry

Responsibilities:

• Build solid relationships with advertisers and agencies

• Liaise with Marketing, Product management, and Ad operations

• Educate brands on Amazon Advertising offering

• Analyze campaign performance against key metrics

• Troubleshoot technical or implementation issues

Education Requirements:

• Bachelor's degree or above in graphic design, interactive design, or equivalent

Experience Requirements:

• 6+ years’ experience as a visual designer in a creative agency or similar creative production environment

Other Requirements:

• Online portfolio or samples of work demonstrating end-to-end user-centered design

• Proficiency in Photoshop, Illustrator, Fireworks, and InDesign

• Knowledge of typography, design principles, and digital trends

• Fluency in English

Responsibilities:

• Manage design queue and process of high-visibility executions

• Accountable for end-to-end creative development and quality

• Create original concepts and designs

• Act as subject matter expert and provide training

• Lead medium-complexity project initiatives

Education Requirements:

• Bachelor's degree in Marketing, Advertising, or Business

Experience Requirements:

• 1+ years of sales experience

• Experience working in an external client-facing environment

Other Requirements:

• Experience in advertising solutions including sales and online marketing

• Analytical skills using Microsoft Excel

• Experience with advertising publishers and marketing agencies

Responsibilities:

• Deliver inputs, Ad products adoption and Ads revenue goals

• Build solid relationships with advertisers and agencies

• Identify and onboard media agencies to Amazon Ads network

• Analyze campaign performance against key metrics

• Troubleshoot technical or implementation issues

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Education Requirements:

• PhD, Master’s, or Graduate Degree in Computer Science

• Degree in Machine Learning or AI

• Degree in Operational Research

• Degree in Statistics or Mathematics

Experience Requirements:

• Proven track record in client interaction

• Experience collaborating with engineering and business teams

• Expertise in formulation, solving and deploying Data Science models

• Expertise in problem solving while being hands on

Other Requirements:

• Conversant with end-to-end data science model life cycle

• Conversant with at least 2 areas: NLP, CV, RAG, LLMs, or ML

• Proficiency in Python and relevant libraries

• Theoretical strength in deep learning and conventional machine learning

Responsibilities:

• Conceptualizing, formulating, coding and deploying solutions

• Interacting with clients to make sense of ambiguous problem statements

• Building systems like RAG, Multiagent, or LLM-based solutions

• Solving problems in computer vision, speech, or NLP

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• Demonstrated experience as a Senior Data Engineer

• Experience with Python or functional languages like Scala

• Design and development of big data applications using Databricks or Spark

• Building data products by integrating large sets of internal/external data

Other Requirements:

• Nuanced understanding of code quality and Test Driven Development

• Understanding of Cloud platforms, DevOps, GitOps, and Containers

• Ability to deliver applications end-to-end using CI/CD

Responsibilities:

• Collaborate with Data Scientists to deliver AI and ML systems

• Build frameworks and tooling for complex data ingestion

• Consult clients on data strategy and modernizing infrastructure

• Model data for increased visibility and performance

• Work in short sprints to deliver working software

Benefits:

• Unlimited leaves

• Life Insurance & Private Health insurance paid by Sahaj

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• At least 8+ years experience as a Software Engineer

• Expertise with at least one programming language (FP or OOP)

• Rich understanding of code quality and TDD

• Experience with source control and build toolchains

Other Requirements:

• Maker’s mindset – resourceful and able to work without instructions

• Knowledge of CI/CD and infra-automation

• Understanding of Cloud platforms, IaC, and GitOps

• Understanding of web APIs and communication protocols

Responsibilities:

• Write high-quality, production-ready code

• Lead architecture and design decisions

• Utilize DevOps tools to automate build and deployment

• Work with Data Scientists to deliver AI/ML systems

• Provide hands-on mentorship and technical guidance