2370 Unity Jobs - Page 20

Senior Engineer, Field Service At Dell Technologies, we take pride in providing our customers with a quality of service that more than matches the quality of our products. Our Field Service team is integral to making sure the service to our customers is seamless, responsive and focused. Taking our technical skills to customer sites, we’re responsible for everything from installation, configuration and integration, through to maintenance, troubleshooting and repair. Customers see us as a trusted liaison who can understand their precise needs on a host of admin and technical matters. We also work closely with our designers, solution managers and sales specialists to provide solutions Join us to do the best work of your career and make a profound social impact as a Senior Engineer on our Field Service Team in Gurgaon/Mumbai What You’ll Achieve Responsible for on-site installation, configuration, implementation, integration, maintenance, troubleshooting and repair of company and multi-vendor systems solutions, which may include hardware, software and networking products as well as operating systems. Serves as company liaison with customer on administrative and technical matters. Interprets customers’ needs and clarifies if the responsibility for problem resolution falls to sales personnel, customer support reps or engineers. You will: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors Devises solutions based on limited information and precedent and adapts existing approaches to resolve issues Uses evaluation, judgment, and interpretation to select right course of action Work is done independently and is reviewed at critical points Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements 5 -7 years of relevant experience. Field Working experience of at least 2-3 years as customer engineer / Field Engineer providing break-fix support. Working knowledge of DELL Technologies storage products which includes PowerMAX, VMax, Unity, Isilon, ECS, DD etc. Industry certification from Dell EMC, Linux, Windows, VMware or Networking Desirable Requirements Bachelor’s Degree Relevant Dell EMC product certification at Professional Specialist Level. Who We Are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 31July 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID: R267549Job Function: Product Services

You will be joining VSQUARE Meditec, a health-tech startup dedicated to revolutionizing eye care with innovative ophthalmic solutions. Your role as a Game Developer Intern (Unity) will involve contributing to the development of a therapeutic game suite used in vision therapy. This will include working on gameplay mechanics, UI design, animation, and core logic within a healthcare-focused, agile environment. Responsibilities: - Develop and enhance 2D/3D gameplay, UI/UX, and animations using Unity. - Write and maintain clean, modular C# scripts. - Debug and optimize performance across platforms. - Assist in integrating lightweight Python tools or scripts. - Participate in game design discussions, iteration cycles, and testing. Requirements: - Working knowledge of Unity and C# scripting. - Interest in building purpose-driven game applications. - Ability to work independently in a fast-paced startup environment. - Strong debugging and problem-solving skills. Bonus points for: - Familiarity with Python or WebGL/mobile deployment. - Experience with version control tools like Git. Internship Benefits: - Certificate and Letter of Recommendation upon successful completion. - Real-world product development experience in the health-tech space. - Ownership of features with end-to-end exposure. - Work directly on a product with clinical impact. Why Join VSQUARE This internship provides the opportunity to work on a game that not only entertains but also helps people improve their vision through engaging digital therapy. Join our purpose-driven product team at the intersection of healthcare and technology to make a difference in the field of vision care.,

Training students for Graphic, 3D Animation, visual effects . Should be able to teach students 3D Animation Softwares Should be well versed with Photoshop, aftereffects, 3Ds Max, Autodesk Maya, Blender, Cinema 4D, V-Ray, Mudbox, Unity, Unreal , Arnold, Lumion and Sketchup Should be able to support students to create projects using different visual effects techniques, and 3D Animation movie Hands on experience of image editing tools. Strong knowledge/ experience of 3D production pipeline process. Job Type: Full-time Pay: ₹27,696.50 - ₹40,008.04 per month Benefits: Paid time off Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Required) Education: Diploma (Preferred) Experience: Teaching: 1 year (Preferred) Making lesson Plans: 1 year (Preferred) total work: 1 year (Required) Language: English (Preferred) Work Location: In person

This is a full-time hybrid role for an Animator - 3ds Max at Doorto360.com. As an Animator, you will be responsible for tasks such as motion capture, rigging, 3D animation, and using software like 3ds Max, Lumion, Blender, etc to create visually appealing animations. While the role is primarily located in Kochi, there is flexibility for some remote work. To excel in this role, you should have skills in Motion Capture, Rigging, and 3D Animation. Experience in Animation and working with 3dsMax (v-ray/corona/vantage) is crucial. Proficiency in Blender, UE, Unity is an added advantage. Strong creative and artistic abilities are important for this role. You should have at least 2 years of experience in the industry. Ability to collaborate and communicate effectively, attention to detail, and time management skills are essential. Knowledge of visual effects and storytelling techniques will be beneficial. Doorto360.com offers competitive packages and perks for this position. A Bachelor's degree in Animation, Graphic Design, or a related field is required. Location: Kochi Apply now for this exciting opportunity to showcase your animation skills and contribute to visually stunning projects at Doorto360.com.,

This is a full-time role for a Visualizer with skills in Animation- 3ds Max at Doorto360.com. As a Visualizer, you will be responsible for tasks such as motion capture, rigging, 3D animation, and using software like 3ds Max, Lumion, and Blender to create visually appealing animations. While the primary location for this role is in Kochi, there is flexibility for some remote work. Qualifications required for this role include proficiency in Motion Capture, Rigging, and 3D Animation skills, experience in Animation and working with 3dsMax (v-ray/corona/vantage), proficiency in Blender, UE, Unity (which is an added advantage), proficiency in Lighting techniques, strong creative and artistic abilities, at least 2+ years of experience in the industry, ability to collaborate and communicate effectively, attention to detail and time management skills, knowledge of visual effects, and storytelling techniques. A Bachelor's degree in Animation, Graphic Design, or related field is also preferred. The role offers competitive packages and perks. If you are passionate about Animation, have the required skills and qualifications, and are looking to work in a dynamic environment, this role could be a great fit for you.,

You are a skilled and experienced mobile app developer proficient in Unity, and you will be responsible for building a cross-platform application for iOS and Android. The app will include interactive elements, ensure smooth performance across various devices, and have a user-friendly interface. Your key responsibilities will include developing and deploying a mobile application using Unity for both iOS and Android platforms, optimizing performance, ensuring compatibility across different devices, integrating third-party APIs and services, collaborating with designers and backend developers, and conducting testing and debugging to deliver a seamless user experience. To excel in this role, you should have a strong proficiency in Unity and C# scripting, experience in cross-platform mobile development, familiarity with iOS and Android SDKs, knowledge of UI/UX principles for mobile apps, and experience with Firebase, REST APIs, or other backend services would be beneficial. Additionally, you should be able to work independently, meet deadlines, and possess good communication and problem-solving skills. Having a portfolio of previously developed Unity mobile apps and experience with AR/VR features would be advantageous but not mandatory. This is a remote position or based in Noida, and you will have the opportunity to work with a dynamic team in a fast-paced environment.,

Work Schedule Standard (Mon-Fri) Environmental Conditions Office About Company: Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, increasing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our innovative laboratory technologies and services make it easier for customers. Position Summary: Handle Chromatography and Mass Spectrometry Division (CMD) and Laboratory Solutions Instruments (LSI) spares activities. Prepare spares quotes based on requests from internal and external customers, including Field Service Engineers (FSEs). Handle trunk stock for the FSEs for the CMC/AMC/Extended Warranty orders and manage trunk stock consumption for all FSEs. Prepare Free of Charge (FOC) orders for warranty, extended warranty, and Time & Material (T&M) orders. Validate and process customer purchase orders within a specified response time Follow up on advances, manage credit blocks, process return orders in case of virtual invoices, and coordinate with Supply Chain Management (SCM) for smooth invoicing. Collaborate with the warehouse to close return orders. Follow up with customers for overdue payments related to pending orders. Ensure advance payments from customers for spare orders. Coordinate with the finance department to release credit blocks. Ensure all spare part prices are maintained in SAP and master data is updated regularly. Manage customer issues, work closely with the Field Service team and cross-functional teams to meet or exceed customer expectations. Work closely with the tech support, field service, and supply chain team to improve planning, spare parts availability in India, reduce downtime, and improve the revenue cycle for service. Maintain and publish key service metrics and drive improvements in coordination with Field Service teams. Drive continuous process improvement in processes and systems through Practical Process Improvement (PPI). Education & Experience Levels: BE/BTech/Diploma/Any Graduate with additional knowledge of SAP/CRM/Software applications from a similar field or function. Minimum 3 to 4 years of service order management experience. Proficient in MS Office (especially Excel), SAP, and Outlook. Strong analytical and problem-solving skills. Effective interpersonal, oral, and written communication skills with a proven capability to make a significant contribution to the business. Team player with a solution-oriented approach and attitude.

Line of Service Advisory Industry/Sector FS X-Sector Specialism Risk Management Level Director Job Description & Summary At PwC, our people in forensic services focus on identifying and preventing fraudulent activities, conducting investigations, and maintaining compliance with regulatory requirements. Individuals in this field play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices. In fraud, investigations and regulatory enforcement at PwC, you will focus on identifying and preventing fraudulent activities, conducting investigations, and confirming compliance with regulatory requirements. You will play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities : · Experience in Third Party Risk Management (TPRM), Due Diligence, Anti-Bribery engagements , Financial assessments · Experience of working across industries including ITES, Pharma, Consumer, Technology, Manufacturing, e-Commerce and Insurance · Experience of working across global clients based in US, UK, Australia, France, Germany amongst others. · Should have designing, implementing and operating large scale and complex TPRM programs for multiple clients, · Understanding on the regulatory requirements across risk areas like Sanctions, FCPA, Bribery & Corruption, Human Rights, Modern Slavery, Conflict Minerals, ESG, Financial for India and Global countries/ regions like US, UK, Australia, Europe. · Experience of implementing and working on TPRM tools and databases including Process Unity, Archer , Ariba , One Trust, Lexis Nexis, Dow Jones, Bit Sight · Experience of working on client engagements across the vendor lifecycle from onboarding to termination. Mandatory skill sets: Third party risk Preferred skill sets: Third party risk Years of experience required: 12 + Education qualification: Any Grad Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Third Party Risk Management Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Compliance Oversight, Compliance Risk Assessment, Corporate Governance, Creativity, Cybersecurity, Data Analytics, Debt Restructuring, Embracing Change, Emotional Regulation, Empathy, Evidence Gathering, Financial Crime Compliance, Financial Crime Investigation, Financial Crime Prevention, Financial Record Keeping, Financial Transactions, Forensic Accounting, Forensic Investigation, Fraud Detection {+ 24 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Job Summary We are looking for an experienced Azure Databricks Architect who has a strong background in designing and implementing end-to-end data solutions on Azure Cloud. The ideal candidate should have expertise in Databricks, Azure Data Factory, Azure DevOps, Power BI, Unity Catalog, and data governance, cataloging, and modelling. The Azure Databricks Architect will work closely with our data engineering, data science, and business stakeholders to design and implement scalable, secure, and efficient data architectures that meet our business requirements. Key Responsibilities Design and implement scalable, secure, and efficient data architectures on Azure Cloud using Databricks, Azure Data Factory, and other related technologies. Lead the development of end-to-end data solutions on Azure Cloud, including data ingestion, processing, storage, and visualization. Collaborate with data engineering, data science, and business stakeholders to identify business requirements and design data architectures that meet those requirements. Develop and maintain data governance, cataloging, and modelling frameworks to ensure data quality, security, and compliance. Implement data security and access controls using Azure Active Directory, Unity Catalog, and other related technologies. Develop and maintain data pipelines using Azure Data Factory, Databricks, and other related technologies. Develop and maintain data visualizations using Power BI, Databricks, and other related technologies. Collaborate with DevOps engineers to develop and maintain CI/CD pipelines using Azure DevOps, Databricks, and other related technologies. Stay up-to-date with the latest Azure Cloud technologies and trends, and apply that knowledge to improve our data architectures and solutions. Requirements 5-6 years of experience in designing and implementing data architectures on Azure Cloud using Databricks, Azure Data Factory, and other related technologies. Strong experience in data governance, cataloging, and modelling, including data quality, security, and compliance. Experience in developing and maintaining data pipelines using Azure Data Factory, Databricks, and other related technologies. Experience in developing and maintaining data visualizations using Power BI or Tableau. Experience in collaborating with DevOps engineers to develop and maintain CI/CD pipelines using Azure DevOps, Databricks, and other related technologies. Strong understanding of Azure Cloud security, including Azure Active Directory, Unity Catalog, and other related technologies. Strong understanding of data architecture principles, including scalability, security, and efficiency. Bachelor's degree in Computer Science, Information Technology, or a related field. Key Technical Expertise On Python Pyspark SPARK SQL

You will be responsible for designing and executing comprehensive test plans, test cases, and test scripts for AR/VR applications and 3D simulations. This includes performing functional, regression, performance, and usability testing across various platforms such as PC, mobile, HMDs, and more. Your role will involve identifying, documenting, and tracking bugs utilizing tools like Jira, Bugzilla, or similar software. Collaboration with developers, 3D artists, designers, and project managers is crucial to ensure the quality of applications. Validation of 3D interactions, animations, spatial accuracy, and immersive UX/UI behavior will be part of your responsibilities. Additionally, you will conduct compatibility and hardware testing on devices like Oculus/Meta Quest, HTC Vive, HoloLens, and mobile AR platforms. Providing clear and actionable feedback on technical issues and user experience problems is essential. Furthermore, you will assist in creating and maintaining automated test scripts and QA pipelines when applicable. Participation in sprint planning, reviews, and daily standups is necessary to remain aligned with project goals. An ability to learn and adapt to game engines like Unity for profiling, debugging, and testing frameworks is expected. To qualify for this role, you should have at least 3 years of QA experience in software or interactive application testing. Hands-on experience in testing AR/VR applications or 3D simulations is required. Strong analytical and problem-solving skills with a keen attention to detail are essential. Familiarity with testing practices for spatial computing and immersive environments is preferred. An understanding of 3D content and behavior, including interactions, collisions, and physics, is beneficial. Experience with bug tracking and test case management tools such as Jira and TestRail would be advantageous.,

As a Unity Developer Intern at AugRay, you will be part of an innovative XR development team, contributing to the creation of cutting-edge XR applications. This internship provides you with a unique opportunity to work on immersive technology projects, explore AI-driven features, and delve into the automation of development processes. If you are enthusiastic about developing interactive 3D experiences and intrigued by the potential of AI in XR technology, we are eager to connect with you. Your responsibilities will include collaborating with product managers, designers, and senior developers to build impactful XR applications using Unity. You will be involved in all stages of the XR development cycle, from prototyping to testing and optimization. Additionally, you will create interactive 3D features and interfaces using C# in Unity, while also exploring and implementing AI-powered tools to enhance productivity and creativity. Your contributions will extend to optimizing Unity development workflows, participating in code reviews, and staying abreast of the latest trends in Unity development and XR technologies. To excel in this role, you should be pursuing or have recently completed a degree in Computer Science, Game Development, Information Technology, or a related field. A strong portfolio showcasing your Unity projects and proficiency in Unity 3D/2D and C# are essential. Familiarity with VR frameworks is advantageous, and a keen interest in AI-powered development tools and XR workflow automation is highly valued. Strong communication skills, teamwork, and problem-solving abilities are key attributes, along with a genuine passion for Unity development and XR technology. In return, we offer you hands-on experience with advanced XR and AI-driven development tools in a collaborative setting, mentorship from seasoned Unity and XR professionals, and the opportunity to contribute significantly to next-generation products and internal processes. You will gain exposure to real-world XR industry projects and workflows, shaping your career in this rapidly evolving field. If you are excited about the prospect of being at the forefront of XR innovation and eager to learn and grow in a dynamic environment, we encourage you to share your CV with us at apsanam@augray.com.,

As a Technical Intern Solutions at our company, you will thrive at the intersection of creativity and code. This role is ideal for you if you are passionate about prototyping new ideas, experimenting with cutting-edge technology, and building immersive XR solutions. Your main responsibilities will include developing Proof of Concept (POC) solutions based on client needs and upcoming technologies. You will design and build rapid prototypes, create full-stack applications using React.js for the frontend and Node.js for the backend, and develop AR/VR experiences using Unity for platforms like Meta Quest and Apple Vision Pro. You will also be involved in quickly iterating on ideas to test feasibility and gather user feedback. In addition to POC development, you will collaborate with the delivery team to provide technical insights during development cycles and support the transition of POCs into scalable production-ready solutions when necessary. The mandatory technical skills required for this role include proficiency in React.js for frontend development, Node.js (Express preferred) for backend development, experience with REST APIs and real-time data integration, and hands-on experience in developing AR/VR content using Unity. Preferred skills that will be beneficial for this role include C++ or Blueprint scripting in Unreal Engine, familiarity with XR development for devices like Meta Quest and Apple Vision Pro, understanding of AI/ML concepts such as LLMs and computer vision using Python, 3D Web development using Babylon.js or Three.js, and experience with cloud/backend technologies like Firebase, AWS, or similar. We are looking for a proactive and fast learner who has a passion for new technologies, is comfortable navigating ambiguity, and can work with minimal documentation. You should be able to occasionally interact with clients or stakeholders to understand their needs and demonstrate ideas effectively. If you are ready to be part of a team that prototypes the future of immersive technology, apply now and join us in shaping what's next.,

Job descriptions may display in multiple languages based on your language selection. What We Offer At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain. Job Responsibilities Job Title: Power Electronics Engineer Job Description As an experienced Power Electronics Design Engineer, you will be involved in the power electronics design & development of the traction inverter for electric vehicles. Major Responsibilities Power electronics hardware design & development. Understanding and selection of HW components like SiC/GaN power modules, gate drivers ICs, sensors, filters etc. Motor Control strategy (V/F, FOC etc.,) and PWM switching profile for Inverters. Power module performance analysis like junction temperature calculation, efficiency etc. for drive profile Hands on Simulation/Tools e.g., Matlab Simscape, PSIM, PLECS, LTSpice etc. Know how on the latest technological development of hardware. Experience in using HV test equipment like Oscilloscopes, Power meters, electronic loads etc. Hands on experience in working with High voltage lab setup. Hands on experience in creating schematics in Altium or similar software. Good to have knowledge of PCB design reviews. Support selection of the single system components and their integration into overall inverter Hardware Manages communication and alignment with all affected stakeholders. Education Masters in Power Electronics or equivalent from reputed university/institution Work Experience 3 to 10 years of experience in power electronics circuit design or relevant job experience Skills And Competencies Knowledge on automotive EMI/EMC testing standards Experience in the automotive sector is desirable. Very good written and spoken English skills. Awareness, Unity, Empowerment At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. Worker Type Regular / Permanent Group Magna Powertrain

3D Animator Intern – Join Our Creative Team! Are you passionate about breathing life into characters and storytelling through animation? We’re looking for a 3D Animator Intern to join our dynamic team and help us create engaging and visually compelling content. What You’ll Do: • Collaborate with artists, designers, and developers to create high-quality 3D animations. • Animate characters, objects, and environments for games, videos, or interactive media. • Assist in rigging and skinning of characters as needed. • Participate in brainstorming sessions and contribute creative ideas. • Take feedback and iterate animations to meet artistic and technical goals. What We’re Looking For: • Currently pursuing a degree or recent graduate in Animation, Game Design, Fine Arts, or related field. • Proficiency in animation software Blender. • Basic knowledge of rigging and character animation principles. • Strong attention to detail and a keen eye for motion, timing, and weight. • A portfolio or reel showcasing animation work (student projects welcome!). • Eagerness to learn, adapt, and grow in a creative environment. Bonus Points For: • Experience with Unity or Unreal Engine. • Interest in storytelling, cinematics, or visual effects. • Knowledge of scripting or tool development (Python/MEL) is a plus. What You’ll Gain: • Hands-on experience in real-world projects. • Mentorship from experienced animators and industry professionals. • Opportunity to expand your portfolio and skillset. • A collaborative and supportive work culture. Ready to Animate Your Career? Apply now with your resume and animation reel! careers@dunixab.com #3DAnimation #AnimatorInternship #GameDev #MotionDesign #CreativeInternship #JoinUs

Description THIS IS A ON-SITE ONLY (NON-REMOTE) POSITION AND DEMANDS FLUENT ENGLISH. Side is looking for a passionate and creative Game Designer to join our dynamic team. The ideal candidate will have a strong grasp of game design principles, with the ability to craft engaging gameplay experiences. You will collaborate with artists, developers, and other designers to create unique and immersive game experiences. Key Responsibilities Conceptualize and design game mechanics, systems, and user experiences. Create detailed design documents outlining gameplay features and mechanics. Collaborate with artists and engineers to implement and iterate on game features. Participate in playtesting sessions and gather feedback to refine gameplay. Analyze and balance game systems for optimal player engagement and enjoyment. Contribute to the overall vision of the game, ensuring consistency and quality across all elements. Stay informed about industry trends and best practices in game design. Requirements Bachelor’s degree in Game Design, Computer Science, or a related field. A minimum of 2+ years of experience in Game Design is required. Experience in game design, with a solid portfolio showcasing your work. Strong understanding of game mechanics, player experience, and level design. Proficiency in game design tools and software (e.g., Unity, Unreal Engine, etc.). Excellent problem-solving abilities and creativity. Good communication and collaboration skills to work effectively in a team environment. Passion for gaming and an understanding of current market trends and player preferences. Benefits What we offer: The opportunity to join our growing business at an exciting time. Dynamic and entrepreneurial culture. Who We Are Side is a global games services company, providing technical and creative services to many of the largest developers and studios around the world. Founded in Japan in 1994, PTW has grown to become a global force in the gaming industry, with over 40 studios in 16 countries worldwide and offices across North America, Europe, South America, and Asia. Our industry-leading services include art production, game development, quality assurance, player support, community management, localization, localization QA, audio production, and data collection. For more information, visit www.side.inc

🎮 Unity Developer Internship – Vanara Games Do you love building games with Unity? Looking for hands-on experience working with a professional game studio? Here’s your opportunity to launch your career as a Unity Developer Intern at Vanara Games! This unpaid remote internship will help you gain real-world experience, build your portfolio, and contribute to games that reach thousands of players. 🏢 About Vanara Games Vanara Games is a game development studio focused on creating hypercasual, casual, puzzle, and arcade games for mobile platforms. We also offer services in Animation, VFX, App Development, and AI Solutions. We believe in learning by doing, and this internship is designed to help aspiring Unity developers gain practical experience while working on exciting game projects. 💡 What You’ll Do (Your Role) As a Unity Developer Intern, you will: ✅ Develop gameplay features and mechanics using Unity and C# ✅ Work with prefabs, animations, particles, UI, and game physics ✅ Optimize performance for mobile platforms ✅ Integrate sounds, visual effects, and animations into gameplay ✅ Collaborate with game designers, artists, and other developers ✅ Test, debug, and fix bugs across multiple devices and screen sizes ✅ Stay updated with Unity tools, asset pipeline, and mobile game development practices 🔍 What We’re Looking For 🎮 Passion for Unity and mobile game development 🧠 Basic knowledge of C# programming and the Unity engine 🧩 Understanding of 2D/3D game development, scenes, prefabs, and components 📁 Experience with any Unity-based project (college/personal/game jam) is a plus 🤝 Team player with strong debugging and problem-solving skills 🚀 Eagerness to learn, improve, and grow in the Unity ecosystem 📌 Internship Details Duration: 6 Months Type: Unpaid Internship Location: Remote Flexibility: Ideal for students & freshers – manage your own schedule Full-Time Opportunity: Outstanding interns will be offered a paid full-time role post internship 🌟 Why Join Vanara Games? 🔥 Work on Real Games – No dummy projects. You’ll contribute to live builds. 🎓 Learn from Experts – Collaborate with experienced Unity devs 🧭 Portfolio Boost – Add shipped games and systems to your resume 📂 Industry Insights – Understand the mobile game development pipeline 💼 Job Opportunity – Turn your internship into a full-time job with us Ready to build awesome games with Unity? Apply now and kickstart your journey with Vanara Games! 🐒⚙️🎮 Email hrv@vanaragames.com Industry Mobile Gaming Apps Employment Type Internship

Company Description Unity Small Finance Bank is a New Age Bank that leverages best-in-class technology to deliver safe, convenient, and simple-to-use banking services. The bank aims to provide innovative solutions to meet the diverse financial needs of its customers. Unity Small Finance Bank is committed to ensuring superior customer service and operational excellence. The bank is focused on building strong, lasting relationships with its customers while providing secure and efficient banking experiences. Role Description This is a full-time on-site role for a Relationship Officer located in Vadodara. The Relationship Officer will be responsible for managing and developing relationships with customers, providing excellent customer service, and identifying and pursuing sales opportunities. Day-to-day tasks include conducting financial assessments, offering suitable banking products, maintaining customer records, and addressing customer inquiries and concerns. The Relationship Officer will also collaborate with other bank departments to ensure a seamless customer experience. Qualifications Business Relationship Management and Sales skills Finance and Communication skills Customer Service skills Strong interpersonal and organizational skills Ability to work on-site in Vadodara Previous experience in the banking or financial services industry is beneficial Bachelor's degree in Finance, Business, or a related field preferred

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!