Education Requirements:

• Master's degree in a STEM field or equivalent practical experience

Experience Requirements:

• 4 years of industry or PhD Data Science experience

• Experience in causal inference, A/B testing, statistical modeling, or Machine Learning (ML)

• Experience with programming in SQL and Python, leveraging ML or statistical libraries (e.g. TensorFlow, Scikit-learn, XGBoost, Keras, Pandas)

Education Requirements:

• With desired skills

Benefits:

• 0.15% - 0.75%

• equity

Experience Requirements:

• 3+ years

Other Requirements:

• 3+ years research experience in generative AI, computer vision, or deep learning

• Deep expertise in training generative models in PyTorch

• Curiosity and the drive to understand the unknown

• Proven record of implementing and adapting cutting-edge papers

• Proven ability to take research from concept to production

• Track record of breakthrough technical innovation

Benefits:

• 0.1% - 0.5%

• equity

Experience Requirements:

• 3+ years

Other Requirements:

• Deep expertise in PyTorch and video processing pipelines

• Track record of shipping novel ML features from concept to production

• Ability to bridge cutting-edge research with practical applications

• Strong collaboration skills across research and engineering teams

Responsibilities:

• Create novel CV features that unlock new forms of video manipulation

• Build ML pipelines that understand and modify humans in video

• Transform research breakthroughs into production capabilities

• Design systems that make complex AI feel like magic to users

• Pioneer new approaches to fine-grained video control

Benefits:

• Working at Modern

• First and foremost, our value system is sacred to us – HEAT: Humility, Empathy, Accountability and Transparency.

• Beyond this, we are fond of individuals who are curious, love solving problems and can see the larger picture.

• We love to take a leap of faith on potential.

• If you believe you haven’t had the chance to do your life’s best work, Modern is the place for you.

Education Requirements:

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

Experience Requirements:

• 6+ years' experience in customer-facing role with focus on end-to-end management and delivery of large-scale IT and Big Data projects

Other Requirements:

• Experience working with Big Data Technologies such as Spark, Kafka, Cloud Native, and Data Lakes in customer-facing or consulting roles

• Strong ability to align technical concepts & features to required capabilities

• Proven ability to present technical concepts effectively to diverse stakeholder groups and to engage effectively with senior executives of large enterprises on both technical and business topics

• Familiarity with data engineering techniques, database management, and proficiency in handling large databases

• Extensive experience as a Scrum Master, with command on backlog refinement, story splitting, estimation, velocity, retrospection. Proficiency in Atlassian tools (JIRA and Confluence) is desired

• Strong operational discipline with an analytical, process-oriented mindset and a data-based approach to decision-making and assessment

Responsibilities:

• Enhance our ability to efficiently plan, execute, and monitor initiatives crucial for our customers

Benefits:

• Opportunity to work with a dynamic and innovative team

• Competitive salary and benefits package

• Flexible work environment

• Career development and growth opportunities

Education Requirements:

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

Experience Requirements:

• Minimum of 8 years of experience in data modelling, data architecture, or a related field

Other Requirements:

• Proficiency in data modelling tools such as Erwin Data Modeler, SqlDBM, or similar

• Strong understanding of database design, including SQL and NoSQL databases

• Experience with data warehousing solutions and ETL processes

• Experience with different data modelling approaches, including Kimball, Inmon, Data Vault, One Big Table (OBT), and BEAM

• Familiarity with cloud-based data solutions such as AWS, Azure, or Google Cloud Platform

• Strong analytical skills and a strategic mindset to solve data-related challenges effectively

• Ability to translate complex business processes into comprehensive data models

• Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders

• Certifications in data management or data architecture

Responsibilities:

• Develop and Maintain Data Models

• Collaborate with Stakeholders

• Ensure Data Integrity and Quality

• Support Data-Driven Decisions

Experience Requirements:

• Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing

Other Requirements:

• Experience with Spark optimization/tuning/resource allocations

• Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences

• Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc)

• Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc

• Have a deep understanding of the various stacks and components of the Big Data ecosystem

• Hands-on experience with Python is a huge plus

Responsibilities:

• Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs

• Perform data analysis to validate data models and to confirm the ability to meet business needs

• Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level

• Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels

• Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture

Benefits:

• 0-1 Journey

• Health insurance

• Equity

• Learning stipend

• Generous leave policy

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience

Experience Requirements:

• 2-3 years of experience in front-end development with a strong focus on React.js

Other Requirements:

• Proficiency in HTML, CSS, JavaScript, and modern libraries/frameworks (e.g., Redux, TypeScript)

• Experience in optimising performance for React applications

• Exposure to RESTful APIs and/or GraphQL

• Strong problem-solving skills and cognitive abilities, with the ability to think creatively and work independently

• Solid understanding of responsive design, cross-browser compatibility, and web standards

• Familiarity with Git and collaborative workflows

• Strong attention to detail and commitment to delivering high-quality code

• Leverages AI tools in the development to increase the productivity

Responsibilities:

• Develop, test, and deploy user interfaces for a React-based web application.

• Collaborate with designers to translate UI/UX designs into interactive and visually appealing interfaces.

• Optimise applications for maximum speed and scalability, ensuring compatibility across devices and browsers.

• Build reusable code and libraries for future use, maintaining consistency across the application.

• Debug and troubleshoot issues to ensure the highest quality user experience.Conduct code reviews and maintain the highest standards of code quality.Contribute to product discussions, bringing a user-centred perspective to decision-making.

Benefits:

• 0-1 Journey

• Health insurance

• Equity

• Learning stipend

• Generous leave policy

Experience Requirements:

• 7+ years of experience in data engineering or data architecture, with at least 3 years in a hands-on technical leadership or architecture role

Other Requirements:

• Extensive hands-on experience with Python, SQL, and big data frameworks like Apache Spark or Hadoop

• Comfortable jumping into complex technical problems and providing innovative solutions

• Expert-level experience with cloud platforms (AWS, Azure, GCP) and hands-on experience with data tools such as Redshift, BigQuery, Snowflake, or Synapse

• Proven expertise in building and optimizing data pipelines using tools like Apache Airflow, Azure Data Factory, dbt, Fivetran, and other ETL/ELT frameworks

• Experience with real-time data streaming platforms (e.g., Kafka, Kinesis, Flink), with a focus on building and maintaining low-latency, high-throughput systems

• Extensive experience in designing and implementing data models for both operational databases and data warehouses, including dimensional modeling and data vault techniques

• Strong communication and leadership abilities

• Able to motivate and guide teams to success, while fostering a culture of collaboration, learning, and technical excellence.

• Ability to tackle complex problems and quickly iterate on solutions

• Proven experience in setting strategic direction and executing on technical initiatives

Responsibilities:

• Lead the design and implementation of web front-end and back-end architecture to ensure consistency and scalability across all features.

• Perform detailed technical architecture and design reviews to maintain high standards.

• Architect, design, and develop data pipelines and infrastructure components.

• Write high-quality, production-level code in Java, Python, SQL, and implement big data frameworks like Apache Spark.

• Work with cloud data platforms such as Redshift, Snowflake, etc., ensuring solutions are scalable, secure, and efficient.Develop innovative no-code and low-code solutions using AWS or existing managed services to quickly innovate and implement AI solutions, leveraging RAG (Reasoning and Generalization), AI agent architectural frameworks, and other emerging technologies.Oversee the architecture and implementation of web features, reviewing PRs, sharing best practices, and mentoring engineers on technical solutions.Help deliver highly performant and available features while managing the overall health and quality of the codebase.Mentor senior engineers, helping them elevate their technical skills and continuously raising the engineering bar across the organization.Conduct rapid proof-of-concept (POC) experiments to set direction for the engineering team.Design and develop seamless integrations between multiple data sources, ensuring smooth data availability across the organization.Lead the optimization of cloud-based data platforms, such as AWS, Azure, or GCP, focusing on real-time streaming platforms like Apache Kafka, Kinesis, or Dataflow.Architect and implement real-time data pipelines, ensuring low-latency, high-throughput data processing.Focus on building and maintaining high-performance systems that cater to the organization's real-time data needs.Establish automated data validation and testing frameworks, ensuring accuracy, completeness, and reliability in data processing.Communicate architectural decisions, solutions, and approaches to senior leaders and other teams, gaining consensus and support for critical initiatives.Actively manage, coach, and motivate the engineering team.Foster a collaborative and high-performance culture that emphasizes accountability, ownership, and continuous improvement

Benefits:

• Competitive salary and optional equity

• Health insurance for you and your family (spouse and children)

• Generous vacation policy and paid holidays like family leave, medical leave, and bereavement leave policies

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 1-2 years of experience in Customer Success, preferably within the SaaS industry, engaging with Mid-Market/Enterprise clients

Other Requirements:

• Exceptional communication skills; adept at ensuring client satisfaction and engagement

• Willing to learn the product and tech in depth

• Enthusiastic problem solver with a keen interest in data analysis

• Comfortable and skilled in client communication

Responsibilities:

• Engage with clients during free trial stage and onboarding to showcase the full value of Hivel.

• Provide continuous technical support, addressing inquiries and resolving minor issues.

• Collaborate with the sales team to facilitate technical discussions with clients.

• Utilize SQL queries for ad-hoc reporting and pattern analysis, sharing actionable insights.

• Cultivate strong client relationships, gaining a deeper understanding of their processes and offering best practices for enhanced engineering efficiency.Work closely with the tech and customer success teams to ensure client success while aligning with the product roadmap and technical team workflow

Benefits:

• Health insurance

• Wellness programs

• On-site gym (India)

• Paid leave

• Holidays

Benefits:

• Health insurance

• Wellness programs

• On-site gym (India)

• Paid leave

• Holidays

Benefits:

• 100% remote

• Rest & Recharge

• Flexible hours

• Medical insurance

• Career growth

Experience Requirements:

• 5+ years of experience in software architecture and design

• Strong knowledge of cloud platforms, APIs, and microservices

• Proven track record of delivering enterprise-grade solutions

• Exceptional leadership and communication skills

Responsibilities:

• Design and document solution architectures for enterprise clients

• Guide the technical implementation of large-scale projects

• Collaborate with product and engineering teams to enhance our platform

• Conduct technical reviews and ensure adherence with best practices

Benefits:

• 100% remote

• Rest & Recharge

• Flexible hours

• Medical insurance

• Career growth

Experience Requirements:

• 3+ years of experience in backend development

• Expertise in Node.js, Express.js, and database technologies (MongoDB preferred)

• Strong understanding of system architecture, design patterns, and cloud platforms

• Experience with API implementation and performance tuning

Responsibilities:

• Design, develop, and maintain backend systems using Node.js and MongoDB

• Implement RESTful APIs, microservices, and other integrations

• Optimize backend performance and scalability

• Collaborate with cross-functional teams to deliver seamless user experiences

Benefits:

• 100% remote

• Rest & Recharge

• Flexible hours

• Medical insurance

• Career growth

Experience Requirements:

• 3+ years of experience in frontend development

• Proficiency in modern JavaScript frameworks (Vue.js, React, or Angular)

• Strong understanding of HTML, CSS, and UI/UX principles

• Experience with state management libraries and API integrations

Responsibilities:

• Build responsive web applications using Vue.js or React

• Collaborate with designers and product managers to create user-friendly interfaces

• Optimize frontend performance for speed and scalability

• Ensure seamless integration between the frontend and backend

Benefits:

• 100% remote

• Rest & Recharge

• Flexible hours

• Medical insurance

• Career growth

Experience Requirements:

• 2+ years of experience in technical solutions or software engineering roles

• Proficiency in API integrations and enterprise software

• Strong problem-solving skills and customer-facing experience

• Excellent communication and presentation skills

Responsibilities:

• Work with customers to understand their technical requirements

• Design and implement solutions using our platform

• Troubleshoot and resolve customer issues in a timely manner

• Provide technical training and support to clients

Benefits:

• 100% remote

• Rest & Recharge

• Flexible hours

• Medical insurance

• Career growth

Experience Requirements:

• 2+ years of experience in software quality assurance

• Proficiency in automated testing tools (e.g., Selenium, Cypress)

• Strong knowledge of API testing and performance testing tools

• Attention to detail and a commitment to delivering quality products

Responsibilities:

• Design, develop, and execute automated and manual test cases

• Collaborate with developers to resolve bugs and improve software quality

• Develop and maintain test scripts using industry-standard tools

• Conduct performance and validation testing for enterprise applications