Business Development Manager (BDM)

About the Company

The organization is a global sports-focused data, technology, and content solutions provider with over two decades of experience delivering high-quality digital products to a large international client base. With a strong presence in the sports technology ecosystem, the company builds end-to-end fan engagement solutions including data platforms, applications, gamification, content, and video products.

The team works closely with leading sports bodies, broadcasters, and digital platforms, delivering solutions that reach millions of sports fans worldwide. The work environment is fast-paced, technology-driven, and deeply connected to the world of sports.

Role Overview

We are looking for an experienced Associate Manager / Manager – Project Management to manage end-to-end delivery of technology-driven sports projects. This is a client-facing role requiring strong communication skills, technical understanding, and stakeholder management capabilities. The role involves working closely with engineering teams to deliver complex digital solutions in the sports domain.

Key Responsibilities

• Own end-to-end project delivery from requirement analysis, planning, execution to deployment
• Manage technical projects involving engineering, QA, DevOps, and other cross-functional teams
• Act as the primary client-facing point of contact and manage stakeholder expectations
• Ensure adherence to scope, timelines, quality, and cost
• Drive agile-based delivery and ensure project governance and reporting
• Identify, track, and mitigate project risks and issues proactively
• Manage multiple projects/releases in parallel when required
• Ensure effective communication across internal teams and external stakeholders

Required Skills & Experience

• 7+ years of experience in Project / Delivery Management
• Strong background in managing technology projects
• Technical educational background (Engineering or equivalent)
• Hands-on experience working closely with engineering teams
• Excellent verbal and written communication skills
• Proven experience in stakeholder and client management
• Familiarity with Agile / Scrum delivery methodologies
• Tech-savvy with the ability to understand complex systems

Additional Requirements

• Strong interest in sports is mandatory
• Prior experience working on sports, gaming, media, or fan engagement projects is a plus

Full stack Developer (Ref.ID: VRPL-FSD-Chn-0326)

No. of Positions: 2 Nos. Senior 1 No. Junior 1 No.

API Development & Architecture:

Design and develop scalable RESTful APIs using Node.js & TypeScript

Build modular, reusable, and clean backend architecture

Implement authentication & authorization (JWT / OAuth / Role-based access)

Ensure API security best practices

Write well-structured documentation (Swagger / Postman)

Real-Time Communication (Sockets):

Develop real-time features using WebSockets / Socket.io

Implement:

Live tracking

Real-time notifications

Status updates

Chat systems

Optimize socket performance and reconnection handling

Ensure scalability under concurrent user load

Database & Data Layer (PostgreSQL):

Design scalable and optimized database schemas

Write complex SQL queries & joins

Implement indexing & query optimization

Handle transactions and concurrency control

Work with ORMs like Prisma / TypeORM (preferred)

Maintain database security and backup strategies

Ensure data security and backups

Performance & Scalability:

Optimize API response times

Implement caching strategies (Redis preferred)

Design rate limiting and throttling mechanisms

Ensure system reliability & fault tolerance

Handle background jobs & queues

Deployment & DevOps Collaboration:

Deploy applications on AWS / GCP

Work with Docker containers

Implement CI/CD pipelines

Monitor logs & performance metrics

WhatsApp Business Integration:

Integrate WhatsApp Business API (Cloud / On-Premise)

Work with providers like Exotel / Twilio (preferred)

Implement Template messaging

OTP authentication

Notifications & alerts

Two-way communication

Manage webhook events and delivery tracking

Ensure compliance with WhatsApp policies

Required Skills:

Strong proficiency in Node.js

Hands-on experience with TypeScript

Strong experience in PostgreSQL

Experience building RESTful APIs

Experience with WebSockets / Socket.io

Good understanding of system design & architecture

Git version control

Knowledge of API security best practices

Preferred Skills:

Experience in real-time platforms (ride-hailing, delivery, chat systems)

Redis for caching

Message queues (Kafka / RabbitMQ / BullMQ)

Microservices architecture

Payment gateway integration

Cloud infrastructure knowledge

Soft Skills:

Strong analytical, problem-solving skills, and debugging skills

Startup mindset & ownership attitude

Ability to work in fast-paced startup environment and work independently

Good communication skills in all aspects

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

We are seeking a highly skilled Backend Developer to join our team and contribute to the development and improvement of both our customer-centric SaaS platform and internal systems. As a Backend Developer, you will be responsible for designing, implementing, and maintaining the server-side logic of our application, ensuring high performance, scalability, and security.

As a Backend Developer with expertise in Java, and PostgreSQL, you will play a critical role in developing and maintaining the backend infrastructure of our SaaS and internal platforms, ensuring its reliability, scalability, and performance. Join our team and be a part of building cutting-edge software solutions that empower our customers and drive business growth.

Responsibilities:

• Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to understand project requirements and translate them into technical specifications.
• Design and develop server-side logic, APIs, and database schema to support the functionality and performance requirements of our SaaS platform.
• Write clean, modular, and well-documented code using any relevant programming language preferably Java with SpringBoot.
• Optimize the backend systems for maximum speed and scalability, ensuring high performance and responsiveness of the application.
• Implement data storage solutions using PostgreSQL or other relational databases, ensuring data integrity and security.
• Conduct thorough testing and debugging to identify and resolve any issues or bugs in the backend code.
• Stay up-to-date with emerging technologies, industry trends, and best practices in backend development and contribute to the continuous improvement of our development processes.

Requirements:

• Proven work experience as a Backend Developer or similar role, with a focus on server-side development.
• Proficiency in working with relational databases, particularly PostgreSQL, and writing efficient SQL queries.
• Familiarity with SaaS concepts and architecture.
• Experience with API design and development, including RESTful APIs.
• Solid understanding of software development principles, including object-oriented programming, design patterns, and data structures.
• Experience with version control systems, such as Git.
• Strong problem-solving and analytical skills, with keen attention to detail.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, or a related field is preferred, but not mandatory.

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

S/he will be responsible for complete react-native development and collaborate as required with product management and user experience teams. ● S/he will architect and design product features with a focus on maintainability, extensibility, scalability, and lowest operational cost. ● S/he will be responsible for undertaking proof-of-concept work where required. ● S/he will be responsible for coding and implementing features with very high coverage of unit tests and component tests ● S/he will be responsible for managing a team of android/reactive native developers, and perform design and code reviews. ● S/he will continuously discover, evaluate, and implement new technologies to maximize development efficiency What are we looking for? ● S/he must have experience in delivering projects using react native ensuring performance, quality, and responsiveness of applications ● S/he must have strong design and programming skills in Kotlin, JavaScript, Typescript, react components, Android SDK, Android Studio, SDK, RXJava, HTML5, CSS3, JS, RWD and other mobile frameworks and /or accelerators. ● S/he must have experience with offline storage, multi-threading, performance tuning, memory tuning and RESTful APIs to connect Android applications to back-end services ● S/he must have experience with Model-View View-Model, Model View Presenter software architecture, retrofit, and dagger among others

● S/he must have unit-testing the code for robustness, including edge cases, usability, and general reliability. ● S/he must have experience in mobile analytics. ● S/he must have experience in designing, optimizing and integrating business processes across disparate systems and mobile technologies.

Good-To-Haves / Desired Qualifications

● It would be good if, s/he has the ability to multi-task, prioritize, be attentive to detail, have an eye for design, think logically, organize and communicate coherently. ● It would be good if, s/he is fast paced, collaborative / team player, performance-driven and self-motivated ● It would be good if, s/he is curious, analytical, a problem solver and has logical reasoning.