CloudHire

ML Engineer

Full Stack Developer

Principal Backend Engineer - TypeScript

Data Analyst

Quality Engineer

Take your Unity skills to the next level with Part 3 of this quiz, covering scripting, physics, rendering, and performance optimization!

Test your Unity expertise with this quiz, covering initialization to advanced rendering and physics!

Test your Unity knowledge with this comprehensive quiz, covering everything from MonoBehaviour basics to advanced physics, rendering, and optimization techniques across multiple difficulty levels!

Assess your knowledge of Unity's Rigidbody component and its advanced physics interactions with this in-depth quiz!

Test your understanding of Unity’s Physics, Movement, and MonoBehaviour with this insightful beginner-friendly quiz!

Dive into the fundamentals of open-world game development in Unity with this beginner-friendly quiz.

Challenge yourself with this beginner-friendly quiz on building an endless runner in Unity!

Test your beginner-level knowledge of Unity platformer development with this engaging quiz.

Test your basic knowledge of Unity and Unreal Engine with this beginner-friendly quiz on game development fundamentals.

This assessment evaluates your understanding of Unity's component-based architecture, how GameObjects and their components interact, the hierarchy system with nested GameObjects, and how to reference them in scripts.

This assessment evaluates your understanding of Unity's NavMesh system, including navigation baking, NavMeshAgents, pathfinding, obstacles, and scripting interactions with NavMesh to create AI-driven movement.

An assessment to test the correct usage of Unity's events and lifecycle functions in the context of the game "Clash Royale"

- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your OOPs skills! 📋- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills - Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Unity Skills 📋 - This assessment gives us an idea of your Unity fundamentals - Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

STAGE

Business Analyst - Content

DECA Games

HR Manager

Social Discovery Group

Senior .NET Developer

ML Ops Engineer

Booming games

Senior Account Manager

Hologate gmbh

QA Tester

Game District

Finance Manager

Keywords Studios

Account Supervisor - Social Media - Remote

Art Director - Social Media - Remote

As a Business Analyst - Content, you'll analyze complex data sets to understand user behavior, improve content recommendations, and optimize user experience.  You will work with cross-functional teams (product, engineering, content, marketing) to ensure data-informed decisions. Key responsibilities include tracking and analyzing content performance across cultures, creating dashboards and reports, analyzing viewer preferences, supporting content acquisition with performance insights, and building forecasting models to predict content success and ROI.  The role requires strong analytical skills, proficiency in SQL, Excel, product analytics tools (Mixpanel, Amplitude), and BI tools (Tableau).

Creative Head

Creative Manager

Content Acquisition Executive

Creative Content Manager - Bhojpuri Web Series

Bhojpuri Promotional Writer

Video Editor

Poster Designer

Brand Marketing Executive

Accountant

<div id="cw-rich-description" style="color:#171B27; margin-bottom: 32px;"> About the opportunity : As a Business Analyst - Content, you will play a critical role in analysing and interpreting complex data sets to help us understand user behaviour,improve content recommendations, optimize user experience, and drive strategic decisions. You will work closely with cross functional teams, including product, engineering, content,and marketing, to ensure our day-to-day work is strongly data-informed. <div> </div>Key responsibilities: <ol><li dir="ltr">Track and analyse content performance across regional cultures. </li><ul><li dir="ltr">Analyse metrics like watch time, completion rates, and engagement for content in different cultures </li><li dir="ltr">Compare performance across cultures to identify successful content patterns </li></ul><li dir="ltr">Create content performance dashboards and reports </li><ul><li dir="ltr">Build automated dashboards showing key content metrics </li><li dir="ltr">Generate regular reports on content performance for stakeholders and content team </li></ul><li dir="ltr">Analyse viewer preferences and behaviour by cultures and regions </li><ul><li dir="ltr">Study how different regions consume content. </li><li dir="ltr">Understand peak viewing times, preferred devices, and viewing patterns by cultures </li></ul><li dir="ltr">Support content acquisition with performance insights and forecasts </li><ul><li dir="ltr">Help acquisition team make data-driven decisions on content purchases </li><li dir="ltr">Predict potential performance of new content based on historical data </li></ul><li dir="ltr">Generate ROI analysis for content investments </li><ul><li dir="ltr">Calculate return on investment for different types of content </li><li dir="ltr">Compare ROI across cultures and genres </li></ul><li dir="ltr">Optimize content scheduling based on viewing patterns </li><ul><li dir="ltr">Recommend best release times for new content </li><li dir="ltr">Optimize content placement on platform based on viewing data </li></ul><li dir="ltr">Create content performance forecasting models </li><ul><li dir="ltr">Build models to predict content success </li><li dir="ltr">Develop viewership forecasts for new content releases </li></ul></ol>Our ideal candidate: Must have: ● 1-4 years of product analytics experience in a B2C context ● Proficiency with SQL, Excel, product analytics (Mix panel, Amplitude or similar) and Business Intelligence (Tableau or similar) tools ● Strong problem-solving skills and an insatiable curiosity to get behind the ‘why’of every problem statement ● Exceptional attention to detail and the ability to work both independently and collaboratively within a cross-functional team Should have: ● Ability to judge what metrics to measure for different problem statements ● Ability to design and run experiments independently ● Ability to write great analysis documents/notes to succinctly communicate your findings to a broad audience ● Experience designing event tracking schemas Nice to have: ● Experience in the OTT/entertainment industry <div dir="ltr"> </div><div> </div> </div>

Paid - Game Dev Bootcamp

Paid - Fullstack Game Development Bootcamp

Follow Mayank - career advice

Follow Mayank Grover for game development resources

Free | C# | Midnight Pizza Fight

Free | C++ | Lethos

Free | C++ | Pong

Paid - Game Programming Patterns

Paid - Game Programming with Programming Patterns

Follow Abhishek - tech content

Follow Abhishek Smith for game programming content

This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

Unity Event Functions - Clash Royale

Unity Component System

Unity NavMesh Agent

Game Dev Assessments

Develop and deploy high-performance ML models for data distribution, anomaly detection, and predictive analytics. Build scalable ML pipelines using Python, TensorFlow, PyTorch, and cloud-based platforms. Optimize data processing with large-scale datasets using Spark, Dask, or Ray. Integrate ML models into production systems using APIs, microservices, and containerized environments (Docker, Kubernetes).  Experiment with new approaches and improve model performance for accuracy, efficiency, and scalability. Requires 3+ years of experience in ML/DL/AI model development, strong Python skills (TensorFlow, PyTorch, Scikit-learn, NumPy), experience with big data frameworks (Spark, Dask, Kafka, or Ray), cloud expertise (AWS SageMaker, GCP Vertex AI, or Azure ML), and familiarity with SQL, NoSQL, and distributed data storage.

Senior Web Developer

<section aria-labelledby="job-description-title" class="styles--3vx-H" data-ui="job-description"><h2 id="job-description-title">Description</h2><div><h3>About Our Client</h3>Our client, a fast-growing data distribution strategy company, has recently secured $5M in funding to revolutionize AI-driven data infrastructure. They are building a global team to develop cutting-edge solutions for seamless, secure, and scalable data exchange.They are seeking a Machine Learning Engineer to help design, train, and deploy high-performance ML models that drive intelligent automation, predictive analytics, and data optimization. This is an opportunity to join a well-funded startup at the forefront of AI and data strategy.</div></section><section aria-labelledby="job-requirements-title" class="styles--3vx-H" data-ui="job-requirements"><h2 id="job-requirements-title">Requirements</h2><div><h3>What You’ll Do</h3><ul> <li> Develop &amp; Deploy ML Models – Design and optimize machine learning models for data distribution, anomaly detection, and predictive analytics.</li> <li> Build Scalable ML Pipelines – Implement end-to-end data processing workflows for real-time and batch inference using Python, TensorFlow, PyTorch, and cloud-based ML platforms.</li> <li> Optimize Data Processing – Work with large-scale datasets using Spark, Dask, or Ray to enhance data ingestion, transformation, and storage efficiency.</li> <li> Integrate ML into Production Systems – Deploy ML models into production using APIs, microservices, and containerized environments (Docker, Kubernetes).</li> <li> Experiment &amp; Innovate – Stay ahead of ML advancements, test new approaches, and improve model performance for accuracy, efficiency, and scalability.</li> </ul><h3>What Our Client is Looking For</h3><ul> <li> 3+ years of experience in machine learning, deep learning, or AI model development.</li> <li> Strong Python skills – Proficiency in TensorFlow, PyTorch, Scikit-learn, and NumPy.</li> <li>Experience with big data frameworks (Spark, Dask, Kafka, or Ray).</li> <li> Cloud expertise – Hands-on experience with AWS SageMaker, GCP Vertex AI, or Azure ML.</li> <li> Database &amp; Data Processing – Familiarity with SQL, NoSQL, and distributed data storage (Snowflake, BigQuery, MongoDB, or Redis).</li> <li> MLOps &amp; Deployment – Experience with Docker, Kubernetes, and CI/CD pipelines for ML model deployment.</li> <li>Strong problem-solving and research skills – Ability to optimize ML models for real-world applications.</li> </ul></div></section><section aria-labelledby="job-benefits-title" class="styles--3vx-H" data-ui="job-benefits"><h2 id="job-benefits-title">Benefits</h2><div><h3>Why Join Our Client?</h3>✅ $5M in funding – Be part of a well-funded, high-growth AI startup. ✅ Cutting-Edge ML Work – Build AI-driven data infrastructure shaping the future of data distribution strategy. ✅ Top-Tier Compensation – Competitive salaries in the top 5% to 1% market range. ✅ Fully Remote &amp; Global Team – Work with elite engineers from around the world. ✅ High-Performance Culture – No micromanagement, no bureaucracy—just results-driven innovation.📩 Apply Now – Send your resume, GitHub, and any ML projects you’ve worked on.</div></section>