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=""><b style="font-weight: 700">Roles and Responsibilities:</b></div><div style=""><br></div><ul>  <li style="">Design and develop <b style="font-weight: 700">data ingestion frameworks</b> for batch and real-time data processing using distributed systems.</li>  <li style="">Create, implement, and maintain <b style="font-weight: 700">streaming data solutions</b> leveraging technologies like <b style="font-weight: 700">Kafka</b>, <b style="font-weight: 700">Apache Spark</b>, and <b style="font-weight: 700">Hadoop</b>.</li>  <li style="">Develop <b style="font-weight: 700">data transformation pipelines</b>, ensuring high performance, scalability, and reliability of data systems.</li>  <li style="">Work closely with business analysts and stakeholders to understand requirements and translate them into <b style="font-weight: 700">technical ETL solutions</b>.</li>  <li style="">Build, deploy, and support <b style="font-weight: 700">application code</b> and <b style="font-weight: 700">analytical models </b>across various environments.</li>  <li style="">Integrate open-source data tools to enhance analytics capabilities and operationalize them for enterprise usage.</li>  <li style="">Use tools like <b style="font-weight: 700">Python, Java, Hive, Presto, and Scala</b> to prototype and build data engineering solutions.</li>  <li style="">Ensure adherence to <b style="font-weight: 700">data governance</b> policies by implementing or validating <b style="font-weight: 700">data lineage</b>, <b style="font-weight: 700">data quality checks</b>, and <b style="font-weight: 700">data classification</b>.</li>  <li style="">Participate in <b style="font-weight: 700">on-call support rotation</b>, ensuring high availability and incident resolution.</li>  <li style="">Align solutions with company-wide <b style="font-weight: 700">software development lifecycle (SDLC) </b>and DevOps best practices.</li>  <li style="">Provide recommendations for process improvements and develop innovative solutions for complex data engineering challenges.</li>  <li style="">Collaborate with cross-functional teams to support delivery of <b style="font-weight: 700">critical data projects</b> and enterprise data platforms.</li></ul>

Bengaluru

Consultant - Sr. Data Engineer

<ul>  <li style="">Design, develop, and deploy Power BI reports and dashboards that provide key insights into business performance.</li>  <li style="">Create and maintain complex Power BI data models, integrating data from multiple sources.</li>  <li style="">Write and optimize SQL queries to extract, manipulate, and analyze data from various databases.</li>  <li style="">Collaborate with cross-functional teams to understand business requirements and translate them into effective BI solutions.</li>  <li style="">Perform data analysis using Excel, Power Query, and other tools to support reporting and analytics needs.</li>  <li style="">Monitor and troubleshoot Power BI reports and data refresh schedules to ensure consistent performance.</li>  <li style="">Implement security measures and ensure data is presented to the appropriate audience through role-based access.</li>  <li style="">Continuously improve the usability, interactivity, and performance of reports.</li>  <li style="">Provide training and support to end-users on Power BI usage.</li></ul>

Consultant - Sr. Power BI Developer

<div style=""><b style="font-weight: 700">About the Role:</b></div><div style="">We are looking for a highly skilled and motivated <b style="font-weight: 700">Business Analyst</b> who carries a strong foundation in data analytics, with hands-on expertise in SQL and Python, coupled with deep understanding of A/B testing methodologies and campaign performance measurement. This role will play a crucial part in driving data-driven decision-making across business functions.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Design, execute, and analyze A/B tests to measure business impact of experiments and initiatives.</li>  <li style="">Develop advanced SQL queries and Python scripts for data extraction, transformation, and analysis.</li>  <li style="">Conduct in-depth performance analytics to provide insights on business health and opportunities.</li>  <li style="">Measure effectiveness of marketing and promotional campaigns, using statistical and causal inference techniques.</li>  <li style="">Partner with cross-functional teams including marketing, product, and finance to deliver actionable insights.</li>  <li style="">Present findings and recommendations to leadership in a clear and impactful manner.</li>  <li style="">Build scalable analytics frameworks and dashboards for ongoing campaign and business performance monitoring.</li></ul>

Consultant - Business Analyst (SQL, Python & A/B Testing) 

Senior Associate - Power BI Developer

<div style="">We are seeking an experienced <b style="font-weight: 700">Databricks Architect</b> to design, implement, and optimize big data and cloud-based solutions using the Databricks platform. As a Databricks Architect, you will be responsible for creating scalable, efficient, and secure data architectures and workflows in a cloud-based environment, while ensuring best practices in data engineering, governance, and security.</div><div style="">The ideal candidate should have deep expertise in the Databricks ecosystem, strong experience with data processing frameworks (such as Apache Spark), and a solid understanding of cloud infrastructure. You will collaborate with cross-functional teams to design solutions that support large-scale data processing and machine learning workloads.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Lead the design and implementation of data solutions using Azure services, including Azure Synapse Analytics and Azure Databricks, specifically for cost optimization.</li>  <li style="">Define the overall data strategy and architecture for cost optimization projects.</li>  <li style="">Mentor and guide team members on data engineering best practices and cost optimization techniques.</li>  <li style="">Collaborate with cross-functional teams to identify and prioritize cost-saving opportunities through data analysis.</li>  <li style="">Evaluate and implement new data technologies to enhance performance and reduce costs.</li>  <li style="">Ensure compliance with data governance standards and best practices across cost optimization projects.</li>  <li style="">Extensive experience in data engineering, with a focus on Azure technologies and cost optimization projects.</li>  <li style="">Proven leadership skills with a track record of successful project delivery focused on cost savings.</li>  <li style="">Strong expertise in data modelling, ETL processes, and data governance.</li>  <li style="">Excellent communication skills and the ability to collaborate with stakeholders at all levels.</li></ul>

Wilmington

Principal - Databricks Solution Architect

<div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ol>  <li style=""><b style="font-weight: 700">AI/ML Model Development &amp; Optimization<br></b>Design, develop, and train deep learning models, including CNNs, RNNs, Transformers, and hybrid models for audio-video data fusion.<br>Optimize models for performance, including reducing inference times and memory footprint for deployment on resource-constrained devices.</li>  <li style=""><b style="font-weight: 700">Data Collection &amp; Preprocessing<br></b>Collect, preprocess, and augment large-scale datasets, particularly for audio and video, ensuring high-quality input for model training.<br>Implement data fusion techniques to combine multimodal data sources (audio, video) to create richer, more accurate models.</li>  <li style=""><b style="font-weight: 700">Edge Computing &amp; Deployment<br></b>Deploy AI/ML models onto edge devices such as Raspberry Pi, NVIDIA Jetson, or Intel Movidius, ensuring real-time, efficient operation.<br>Perform hardware-aware optimizations like quantization, pruning, and model compression to enable efficient edge deployment.</li>  <li style=""><b style="font-weight: 700">Real-time AI Applications<br></b>Develop real-time AI applications using computer vision and deep learning techniques for tasks such as object detection, gesture recognition, and video analysis.<br>Ensure high accuracy and low latency for real-time performance, both in cloud and on-device environments.</li>  <li style=""><b style="font-weight: 700">Collaboration with Cross-Functional Teams<br></b>Collaborate with software engineers, hardware engineers, and data scientists to integrate AI models into embedded systems, ensuring smooth deployment and functionality on edge devices.<br>Work closely with product teams to translate business requirements into AI solutions, ensuring the models meet end-user needs.</li>  <li style=""><b style="font-weight: 700">Model Evaluation &amp; Monitoring<br></b>Evaluate the performance of deployed models using standard metrics (accuracy, precision, recall, F1 score) and real-world feedback to improve model performance over time.<br>Continuously monitor and troubleshoot models post-deployment to ensure optimal performance and scalability.</li>  <li style=""><b style="font-weight: 700">Research &amp; Innovation<br></b>Stay up-to-date with the latest advancements in AI/ML, computer vision, and edge computing, and explore new techniques to improve the efficiency and effectiveness of models.<br>Experiment with novel architectures, including fusion models and multi-task learning, to solve complex problems in multimodal environments.</li></ol>

Consultant - Data Scientist- Computer Vision

<div style="">We are seeking a highly skilled Data Architect to design and implement robust, scalable, and secure data solutions on AWS Cloud. The ideal candidate should have expertise in AWS services, data modeling, ETL processes, and big data technologies, with hands-on experience in Glue, DMS, Python, PySpark, and MPP databases like Snowflake, Redshift, or Databricks.</div><h3 style="font-size: 1.17em"><br></h3><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Architect and implement data solutions leveraging AWS services such as EC2, S3, IAM, Glue (Mandatory), and DMS for efficient data processing and storage.</li>  <li style="">Develop scalable ETL pipelines using AWS Glue, Lambda, and PySpark to support data transformation, ingestion, and migration.</li>  <li style="">Design and optimize data models following Medallion architecture, Data Mesh, and Enterprise Data Warehouse (EDW) principles.</li>  <li style="">Implement data governance, security, and compliance best practices using IAM policies, encryption, and data masking.</li>  <li style="">Work with MPP databases such as Snowflake, Redshift, or Databricks, ensuring performance tuning, indexing, and query optimization.</li>  <li style="">Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to design efficient data integration strategies.</li>  <li style="">Ensure high availability and reliability of data solutions by implementing monitoring, logging, and automation in AWS.</li>  <li style="">Evaluate and recommend best practices for ETL workflows, data pipelines, and cloud-based data warehousing solutions.</li>  <li style="">Troubleshoot performance bottlenecks and optimize query execution plans, indexing strategies, and data partitioning.</li></ul><h3 style="font-size: 1.17em"><br></h3>

Chennai

Principal - Data Architect

<ul>  <li style="">Strong experience with Python, SQL, pySpark, AWS Glue. Good to have - Shell Scripting, Kafka</li>  <li style="">Good knowledge of DevOps pipeline usage (Jenkins, Bitbucket, EKS, Lightspeed)</li>  <li style="">Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.).</li>  <li style="">Orchestration using Airflow</li>  <li style="">Good to have - Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming</li>  <li style="">Good debugging skills</li>  <li style="">Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements.</li>  <li style="">Strong experience and implementation of Data lakes, Data warehousing, Data Lakehouse architectures.</li>  <li style="">Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.</li>  <li style="">Monitor data systems performance and implement optimization strategies.</li>  <li style="">Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.</li>  <li style="">Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review).</li>  <li style="">Experience in Insurance domain preferred.</li></ul>

Consultant - Lead Data Engineer

<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>

Consultant - ML Engineer

<div style=""><b style="font-weight: 700">Role:</b></div><div style="">We are seeking an Application Developer who develops Java/React JS code for intermediate modules, participates in design reviews, conducts code reviews, creates test plans and resolves moderate defects. This Developer also designs, documents, reviews, and maintains components of software solutions for intermediate projects. It also includes reacting to production problems of supporting production changes where those applications are operating.</div><div style=""><br></div><ul>  <li style="">Strong understanding of Java and Full Stack Developer - Java development concepts</li>  <li style="">4 to 6 years of experience</li>  <li style="">Knowledge of the Insurance business is a plus</li>  <li style="">Highly motivated with good written and oral communication skills.</li>  <li style="">Ability to lead conversations and coordinate activities across various time zones.</li>  <li style="">Flexibility to adapt to changing priorities and assignments, ability to work well under pressure, as well as ability to work independently.</li>  <li style="">Ability to be accountable for key processes of high complexity, high risk, and high visibility.</li>  <li style="">Ability to learn new skills quickly and willingness to challenge yourself</li>  <li style="">Advanced SQL skills (individuals need to have solid SQL debugging and tuning skills)</li></ul>

Senior Associate - Java Full Stack Developer

<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>