Career. Accelerate. Progress.

Challenge. Succeed. Rewards.

Learn. Upskill. Expertise.

Travel. Work. Rejuvenate.

Celebrate @ Work

Life @ Affine!

Title

External Link

Work Life Balance

Trusted by Industry Leaders

Onsite Opportunities

Employee Engagement

Inclusion & Diversity

Affinites @ Work

Follow us at

If you are unable to find relevant job opportunity above, join our Talent Pool by simply submitting your resume.

Our Talent Acquisition team will contact you as soon as they find a great match for your profile and discuss exciting opportunities with you.

Be a part of Affine's Talent Pool 

More About Us...

<div style="">Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles and Responsibilities:</b></div><ul>  <li style=""><b style="font-weight: 700">Strong experience in Data Platform Microsoft Fabric</b></li>  <li style="">Experience developing data platforms using the Microsoft Azure data stack, including Azure Synapse Analytics and Azure Data Factory.</li>  <li style="">Able to process and transfer a large amount of data using Databricks and other Azure services like Azure Data Lake.</li>  <li style="">Requirement gathering and feasibility analysis, design, development from scratch and deliver</li>  <li style="">Experience in designing data warehouse/data mart.</li>  <li style="">Leading client calls to flag off delays, blockers, and escalations and collating all requirements</li>  <li style="">Knowledge in deploying data pipelines using an automated CI/CD approach.</li>  <li style="">Ability to write modularized reusable code components.</li>  <li style="">Proficient in identifying data issues and anomalies during analysis.</li>  <li style="">Leading the client calls to flag off any delays, blockers or escalations and collate all the requirements</li>  <li style="">Experience in leading other developers and guiding them technically.</li>  <li style="">Experience in Agile/Scrum practices.</li>  <li style="">Strong analytical and logical skills</li>  <li style="">Ability to comfortably tackling new challenges and learn</li></ul>

India

Azure Fabric Data Engineer

<div style=""><b style="font-weight: 700">Roles and Responsibilities:</b></div><div style=""><br></div><div style="">We're looking for a highly skilled and motivated Data Product Manager to lead our Search Marketing Measurement objectives. This role is essential in deploying measurement methodologies, integrating Ad partner insights, and developing features to enable campaign measurement and bidding decisions at scale.</div><div style=""><br></div><ul>  <li style="">Build strong relationships with stakeholders across Campaign Management, Analytics, Finance, and Data Science, to deeply understand their needs and shape the data strategy, priorities, and roadmap.</li>  <li style="">Collaborate across Product, Program, Engineering, and Leadership teams, making transparent decisions while balancing diverse and sometimes competing priorities</li>  <li style="">Partner closely with engineering teams to turn ideas into impactful solutions</li>  <li style="">Write clear and compelling product specs, user stories, acceptance criteria, hypotheses, and success metrics for new features or product enhancements</li>  <li style="">Champion your products—you care deeply, advocate effectively, and believe passionately in their value</li>  <li style="">Stay current with industry trends, best practices, and emerging technologies, using this knowledge to continually enhance your data products</li></ul><div style=""><br></div><div style=""><br></div><div style=""><br></div>

Product Manager 

<div style=""><b style="font-weight: 700">Profile Summary:</b></div><div style="">Affine is seeking a dynamic and experienced Sales Leader to drive growth within Global Capability Centers (GCCs). The selected individual will be responsible for selling Affine’s portfolio of offerings in Data Analytics, Engineering, and Artificial Intelligence (AI), enabling GCC clients to unlock value, optimize operations, and achieve business excellence.</div><div style="">This role demands a consultative, solutions-driven sales approach with a strong understanding of GCC dynamics and the ability to establish lasting relationships with decision-makers.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibility:</b></div><ul>  <li style="">Develop and execute sales strategies tailored to the GCC ecosystem, driving adoption of Affine’s offerings.</li>  <li style="">Identify, qualify, and convert new business opportunities, aligning client needs with Affine’s professional services.</li>  <li style="">Build and maintain strategic relationships with C-level executives and senior stakeholders in GCCs.</li>  <li style="">Collaborate with Affine’s solution, delivery, and consulting teams to co-create impactful, customized solutions.</li>  <li style="">Consistently achieve and exceed revenue and growth targets for GCC-focused business.</li>  <li style="">Stay updated on industry trends, competition, and market opportunities to refine go-to-market strategies.</li>  <li style="">Represent Affine at industry events, forums, and networking platforms to strengthen visibility and brand positioning in the GCC space.</li></ul>

Bengaluru

Sales Leader – Global Capability Centers (GCCs)

<div style=""><b style="font-weight: 700">Role Objective:</b></div><div style=""><br></div><div style="">Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles &amp; Responsibilities:</b></div><ol>  <li style=""><b style="font-weight: 700">Strong SQL Skills</b>: Candidate should be proficient in writing and executing complex SQL queries (no PL/SQL) and be able to handle real-world scenarios confidently.</li>  <li style=""><b style="font-weight: 700">Hands-on Functional Programming (Scala)</b>: Strong hands-on experience in Scala is essential.</li>  <li style=""><b style="font-weight: 700">Solid Data Engineering Fundamentals</b>: Emphasis is on strong foundational understanding rather than tool-specific expertise.&nbsp;</li>  <li style=""><b style="font-weight: 700">Experience in Data Quality &amp; Optimization</b>: Candidate should have a sound understanding of data quality practices, performance optimization techniques, and solution design in both event-driven and batch processing contexts—including data modeling.</li>  <li style="">Sound knowledge in Spark architecture and distributed computing and Spark streaming, including RDD and Data frames core functions, troubleshooting and performance tuning.&nbsp;</li>  <li style="">Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on any cloud (AWS is preferred)</li>  <li style="">Experience in any cloud (ETL/ELT pipelines, Datalake and Data streaming) is preferred.</li>  <li style="">Understand the client requirement and able to design, develop from scratch and deliver.</li></ol><div style=""><br></div><div style=""><br></div>

Big Data Engineer

<div style=""><b style="font-weight: 700">Role Objective:</b></div><div style=""><br></div><div style="">Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles &amp; Responsibilities:</b></div><ol>  <li style=""><b style="font-weight: 700">Strong SQL Skills</b>: Candidate should be proficient in writing and executing complex SQL queries (no PL/SQL) and be able to handle real-world scenarios confidently.</li>  <li style=""><b style="font-weight: 700">Hands-on Functional Programming (Scala)</b>: Strong hands-on experience in Scala is essential.</li>  <li style=""><b style="font-weight: 700">Solid Data Engineering Fundamentals</b>: Emphasis is on strong foundational understanding rather than tool-specific expertise.&nbsp;</li>  <li style=""><b style="font-weight: 700">Experience in Data Quality &amp; Optimization</b>: Candidate should have a sound understanding of data quality practices, performance optimization techniques, and solution design in both event-driven and batch processing contexts—including data modeling.</li>  <li style="">Sound knowledge in Spark architecture and distributed computing and Spark streaming, including RDD and Data frames core functions, troubleshooting and performance tuning.&nbsp;</li>  <li style="">Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on any cloud (AWS is preferred)</li>  <li style="">Experience in any cloud (ETL/ELT pipelines, Datalake and Data streaming) is preferred.</li>  <li style="">Understand the client requirement and able to design, develop from scratch and deliver.</li>  <li style="">Able to mentor new members for onboarding to the project.</li></ol><div style=""><br></div>

Lead Big Data Engineer

<div style=""><b style="font-weight: 700">Job Responsibilities:</b></div><ul>  <li style="">Substantial hands-on experience with data handling.</li>  <li style="">Capable of managing large volumes of data, extract, clean and comprehend</li>  <li style="">Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily or periodic basis, contingent on the requirements of the project</li>  <li style="">Able to contribute meaningfully to brainstorming discussions around nuances of the project</li>  <li style="">Comfortable with statistical procedures, such as basic distributions, regressions, logistic models</li>  <li style="">Experience with advanced statistics and Machine Learning algorithms is a plus</li>  <li style="">Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project</li>  <li style="">Comfortable in representing the proceedings and/or findings in a power-point</li>  <li style="">Comfortable in mentoring junior resources, and creating an environment of learning in the team</li>  <li style="">Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies</li>  <li style="">Develop and define an area of expertise and take relevant trainings on the same for the organization</li>  <li style="">Understand the work methodology and be an active participant in strengthening the team</li>  <li style="">Liaising with coworkers and clients on several projects</li>  <li style="">Commitment to learning and continuous personal improvement</li>  <li style="">The candidate should be able to work under tight timelines with minimal supervision</li>  <li style="">Capability to comprehend, research as needed and execute solutions identified by client or Project Consultant or Project Manager</li></ul>

Data Scientist with GenAI 

<div style=""><b style="font-weight: 700">Role Description:</b></div><div style="">We are looking for someone who is interested in harnessing machine learning to power marketing optimization. Someone who is fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale. Someone who loves building high-scale distributed systems using a diverse set of state-of-the-art technologies. The work will span across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Flyte, Databricks, Kubernetes, AWS and much more!</div><div style=""><br></div><div style=""><b style="font-weight: 700">What you’ll do</b></div><ul>  <li style="">You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production.</li>  <li style="">You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation.</li>  <li style="">You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule.</li>  <li style="">You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects.</li>  <li style="">Participate in code reviews to assess overall code quality and flexibility</li>  <li style="">Support and troubleshoot data and/or system issues as needed</li></ul>

ML Engineer

<ul>  <li style="">Develop, validate, and scale <b style="font-weight: 700">Resource &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Allocation Model</b> to quantify the impact of Sales &amp; Marketing &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;packages on sales and brand performance.</li>  <li style="">Implement <b style="font-weight: 700">optimization &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;algorithms</b> to inform budget allocation and maximize marketing ROI &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;across geographies and product portfolios.</li>  <li style="">Lead the development of predictive &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and prescriptive models to support commercial, trade, and brand teams.</li>  <li style="">Leverage <b style="font-weight: 700">PySpark</b> to manage &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and transform large-scale retail, media, and consumer datasets.</li>  <li style="">Build and deploy ML models using <b style="font-weight: 700">Python</b> &nbsp;&nbsp;&nbsp;&nbsp;and <b style="font-weight: 700">TensorFlow</b>, ensuring robust model performance and business &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;relevance.</li>  <li style="">Collaborate with marketing, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;category, and commercial stakeholders to embed insights into strategic &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;decisions.</li>  <li style="">Use <b style="font-weight: 700">GitHub Actions</b> for &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;version control, <b style="font-weight: 700">CI/CD workflows</b>, <b style="font-weight: 700">DVC for data versioning</b>, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and reproducible ML pipelines.</li>  <li style="">Present findings through &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;compelling data storytelling and dashboards for senior leadership.</li>  <li style="">Mentor junior data scientists and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;contribute to a culture of innovation and excellence.</li></ul>

<div style=""><b style="font-weight: 700">Role Description:</b></div><ul>  <li style="">Collaborate closely with cross-functional teams and peers to design, develop, and deliver high-quality iOS applications.</li>  <li style="">Engage with subject matter experts to gather insights, solve technical challenges, and continuously improve solutions.</li>  <li style="">Design, build, test, and maintain standard software applications and supporting programs that meet defined design specifications.</li>  <li style="">Stay current with the latest trends, tools, frameworks, and best practices in iOS development.</li>  <li style="">Take initiative, work independently, and be a fast learner in a dynamic, agile environment.</li>  <li style="">Communicate effectively — both verbally and in writing — to clearly convey technical concepts and ideas.</li></ul>

iOS Developer

<div style=""><b style="font-weight: 700">Role Objective:</b></div><div style=""><br></div><div style="">Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles &amp; Responsibilities:</b></div><ol>  <li style=""><b style="font-weight: 700">Strong SQL Skills</b>: Candidate should be proficient in writing and executing complex SQL queries (no PL/SQL) and be able to handle real-world scenarios confidently.</li>  <li style=""><b style="font-weight: 700">Solid Data Engineering Fundamentals</b>: Emphasis is on strong foundational understanding rather than tool-specific expertise.&nbsp;</li>  <li style=""><b style="font-weight: 700">Experience in Data Quality &amp; Optimization</b>: Candidate should have a sound understanding of data quality practices, performance optimization techniques, and solution design in both event-driven and batch processing contexts—including data modeling.</li>  <li style=""><b style="font-weight: 700">Hands-on Functional Programming (Scala)</b>: Strong hands-on experience in Scala is essential.</li>  <li style="">Sound knowledge in Spark architecture and distributed computing and Spark streaming.</li>  <li style="">Proficient in Spark – including RDD and Data frames core functions, troubleshooting and performance tuning.</li>  <li style="">Able to mentor new members for onboarding to the project.</li>  <li style="">Understand the client requirement and able to design, develop from scratch and deliver.</li>  <li style="">AWS cloud experience would be preferable.</li>  <li style="">Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on cloud (AWS is preferred)</li></ol><div style=""><br></div>

<div style="">Affine is a leading global AI and analytics company that has earned the trust of major organizations across industries for transforming businesses through data-driven insights and cutting-edge Generative AI technologies.</div><div style=""><br></div><div style="">Founded in 2011, Affine has become a trusted partner for major organizations across various industries, delivering bespoke data solutions and products. Our team excels in strategic consulting, advanced analytics, data engineering and governance, MLOps, and AI-powered solutions, with a strong emphasis on Generative AI applications that foster ingenuity and pioneer advancements.</div><div style=""><br></div><div style="">We offer comprehensive data visualization and adoption advisory services, ensuring that our clients not only keep pace but lead in their respective fields. For more insights into our Generative AI capabilities and other services, please visit our website <a href="https://.affine.ai/">https://affine.ai</a>.</div><div style=""><br></div><div style="">We offer exciting career opportunities for professionals seeking to make a significant impact. As an Affine employee, you'll be part of a dynamic and inclusive work environment that values collaboration, creativity, and continuous learning. &nbsp;At Affine, we foster a culture of collaboration, you also work alongside some of the brightest minds in the industry, solve complex challenges, and make a lasting impact on the world.</div>