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Job Description As a consulting business, customer relationships are the heart of growing our business. We are ambassadors at the customer site both to create the right relationship and trust from the customers and to deliver high quality projects, services and advice. Our skills and capabilities are Consulting’s most important asset. Position Description We are seeking aspirational graduates interested in a career in Consulting to join our niche Banking Domain and Practice. The position will support Senior Consultants Project Managers and teams of talented, professional business and technology in the delivery of business focused solutions for our clients using Oracle applications, tools and technology. Utilizing sound product skills and experience, the successful applicant will initially work on specific project tasks to achieve successful project outcomes and client confidence and abilities. Longer term you will grow, with the help of extensive training and experience of the team around you, into a team lead and eventually project managers or Subject Matter experts in Business domain or Solution Architecture with full accountability and responsibility of the delivered solution for your own projects. Key Responsibilities Develop skills and competence on our products in terms of functionality, design and architecture. Develop extensions or customization around our products in context of customer asks, be it UI/UX or Business functionality, Interfaces and Integration or Reports and visualizations. Assist in the testing and deployment of the product and the customization and developments. Prepare documentation - program specifications, unit test plans, test cases, technical documentation, release notes and status reports. Responsibilities Your Skills & Experience You must be a recent graduate or postgraduate with 3+ years or more of field experience. Good Knowledge in Oracle SQL, PL/SQL, Java/J2EE, SOAP and REST based Webservices. Exposure to Containerization, Microservices and Cloud native technologies Knowledge of Java Script, HTML, Angular, React, Knockout Knowledge of Junit, JMeter, Eclipse, GIT, Jira, Ant, Maven, Gradle, Unix Shell scripting Exposure to Application servers – WebLogic, Tomcat, JBoss Exposure to middleware concepts – JMS, MQ, OSB Exposure to Security concepts – PKI, SSO, SAML Good Knowledge of Config, Design & Dev. Sound knowledge on SDLC - Waterfall and Agile Models Experience in Design / Code reviews Experience in Product Implementation and Support. Usage of tools for screen mock-up, UI prototyping tools. Strong analytical and communication skills. Experience in FLEXCUBE or other core-banking systems from providers like – TEMENOS, FINASTRA, TCS Bancs, FIS, INTELLECT Design, in similar role is a significant value add. Degree educated in a field relevant to Oracle’s business. Strong communication skills both written and verbal. Demonstrate accuracy and attention to detail. Domain appreciation, Business acumen and analytical skills Ability to engage with a customer at all levels. Ability to work independently when required, with a good team collaboration skill. A strong interest and aptitude for new trends in Information Technology incl. AI/ML/NLP/RPA Desired Skills: Experience in working in BFSI Domain and specifically Banking is important. Should have strong Oracle tech skills - PL/SQL, SQL, Java. Should have worked on end-to-end implementation of the solution from inception to go-live. Strong problem-solving skills and should have participated in supporting critical phases of projects. Diversity and Inclusion: An Oracle career can span industries, roles, Countries, and cultures, allowing you to flourish in new roles and innovate while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. To nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, and interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. Qualifications Career Level - IC1 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Who We Are: Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects. Role Summary: As a Senior Data Scientist, you’ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap. What You'll Do: Model Development and Innovation : Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application. Optimise model performance, scalability, and interpretability for production systems. MLOps & Deployment Contribute to the deployment of models into production environments using MLOps best practices. Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models. Data & Experimentation Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs. Technology and Tools : Work with large-scale datasets, ensuring data quality and scalability of solutions. Leverage cloud platforms like AWS, GCP for model training and deployment. Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex. Cross-functional Collaboration Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions. Who You Are: Education : Bachelors from Tier 1 premier institute in relevant field, or; Master’s or PhD in Computer Science, Data Science, Mathematics, or a related field. Experience : 4–6 years of hands-on experience in machine learning or data science roles. Proven expertise in machine learning, deep learning, NLP, and recommendation systems. Hands-on experience deploying ML models in production at scale. Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus. Technical Skills : Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Strong understanding of statistical methods, predictive modeling, and algorithm design. Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar). Soft Skills : Strong analytical and problem-solving mindset. Excellent communication skills to articulate data-driven insights. A passion for innovation and staying up-to-date with the latest trends in AI/ML. Why Join Us: Opportunity to work on cutting-edge AI/ML projects impacting millions of users. Be part of a collaborative, innovation-driven team in a fast-growing Martech company. Competitive compensation and growth opportunities in a fast-paced environment. We’d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)

Who we are : Money. A subject that’s always on our mind. We go through a rollercoaster of emotions when it comes to money. That’s why at Jupiter, our mission is to enable people to improve their relationship with money. We are a financial services platform that leverages technology to offer our customers seamless and user-friendly products related to banking, loans, and investments. So whether it’s a savings account, credit cards, investment and payments, it's all on Jupiter. We also help users cut through the banking jargons, offer smart insights based on spending and provide users with a range of new age features to enable and make sense of their finances. Our journey so far: Jupiter was founded in 2019 by Jitendra Gupta. Best known as Citrus Pay’s founder, Jiten found himself wondering why personal finance experiences were not customer-centric when everything else like food ordering and entertainment were. That’s how our journey began in 2019, with a simple, powerful idea : to create a modern, customer-centric experience that empowers individuals when it comes to their money. From our humble beginnings, we've strived relentlessly to make managing money easier. In 2021 when we launched we had a waitlist with over 100,000 people eager to experience the world of Jupiter - and within 10 months we crossed 1 million users. Today, we have 2.7 million + happy users on Jupiter. Our Insights feature today tells how much and where you’ve been spending automatically, even on your other savings accounts! Our Edge CSB Bank RuPay credit card is getting a lot of love for it’s head-turning transparent design, not to mention it being a rewarding experience. Our No-Penalty SIP and Daily SIP at Rs 10/- has helped scale our investments business and we have over 100,000 users investing on our platform to fulfill their money aspirations. We've embraced cutting-edge technology, harnessed the power of data analytics, and assembled a diverse team of creative thinkers and industry experts who share our vision for a more accessible, transparent, and inclusive financial ecosystem. We’re now looking for like-minded folks to join the crew. The Role We’re looking for a Senior Product Manager – Core Experience to lead the evolution of our most critical user surfaces – the home screen, in-app navigation, and lifecycle journeys. This role will focus on driving cross-product adoption, habit loops, and engagement, ensuring users not only discover value but keep coming back. If you’re passionate about solving high-impact problems, designing modular experiences, and building intelligent user flows that directly influence business metrics – this is for you. What you'll be responsible for Own the home screen and app navigation end-to-end, turning them into dynamic, personalized hubs that drive activation and adoption across Jupiter’s financial products. Lead the user lifecycle strategy, from onboarding to long-term retention, identifying moments that matter and stitching together the right nudges, surfaces, and value unlocks. Partner with data scientists to build ML-driven recommendation systems that surface next-best-actions, help users discover new products, and increase LTV. Define and track success through metrics like engagement, activation, retention, and product conversion rates. Collaborate with design, engineering, and other product teams to build modular, scalable flows that serve multiple business needs while maintaining UX excellence. Champion a problem-first mindset: align cross-functional teams on the biggest opportunities using data, research, and experimentation. Drive outcomes, not just features — you’re accountable for moving the needle, not shipping roadmaps. What we’re looking for 5–8 years of product management experience, ideally in consumer tech or growth-focused teams. Strong foundation in user journey mapping, funnel conversion analysis, and modular UX thinking. Experience building products that balance business goals with user habits and mental models. Ability to lead cross-functional squads, navigate ambiguity, and drive alignment across multiple stakeholders. Comfortable using data, experimentation, and machine learning signals to make decisions. Fintech experience is a plus, but not required — what matters is your ability to build and scale sticky consumer experiences. Nice to have Exposure to personal finance, commerce, or subscription-driven products. Background in user psychology, habit loops, or personalization. Why join us You’ll be joining a team that values craft, autonomy, and outcomes. We’re still early in our journey, and this is a rare opportunity to shape the core experience of a product that users engage with every day. You’ll work with seasoned operators, designers, and engineers who care deeply about building a meaningful financial platform.

POWER BI Location – Bangalore Experience – 5+ Years Lead the identification and delivery of automated reporting using modern data visualization techniques. Design and create interactive dashboards, reports, and visualizations using Power BI tools to deliver actionable insights to business users. Collaborate with stakeholders to understand their reporting requirements, translate them into technical specifications, and ensure timely delivery of high-quality BI/analytical solutions. Identify and resolve data quality issues and inconsistencies, working closely with data stakeholders to ensure data consistency and trustworthiness. Expert knowledge in Databricks, Azure SQL server, query authoring (SQL), as well as common data modelling, analytics, and visualization toolsets (Predominantly in Azure stack) Soft Skills: Ability to work independently, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment. Effectively prioritize and deliver a clear roadmap of deliverables. Agile methodology would be an advantatge Coach, mentor, and inspire a team of other Power BI developers. Communicate effectively with all stakeholders, including technical and non-technical audiences. Preferred Experience with Maximo data structure and asset management concepts. Knowledge of financial systems and cost modeling. Experience with AI/ML tools for predictive analytics. Familiarity with integration frameworks About Encora Encora is a global company that offers Software and Digital Engineering solutions, with more than 9000 Encorians around the world. Our technology practices include Cloud Services, Product Engineering & Development, Data Modernization & Engineering, Digital Experience, DevSecOps, Cybersecurity, Quality Engineering, Generative AI, among others. At Encora Inc. we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Minimum qualifications: Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. 3 years of experience with Front-End CAD. Experience writing production scripts such as Python or TCL. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science or a related field. Knowledge of Institute of Electrical and Electronics Engineers (IEEE) Unified Power Format (UPF) standards. Knowledge of Machine Learning (ML) based acceleration. Knowledge of Register-Transfer Level (RTL) connectivity, feedthroughs, re-partitioning, UPF, Local Enhanced Content (LEC). About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Develop methodologies for various front-end tasks. Collaborate with front-end teams to understand requirements and deliver scalable solutions. Co-ordinate across functional domains to support the development and deployment of Computer Aided Design (CAD) solutions. Drive electronic design automation (EDA) vendors to enhance their tools for delivering custom solutions for Google. Partner with EDA and verification teams to deliver new industry solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

About The Role Are you looking for an exciting opportunity in Solution Architecture ? Are you passionate about everything Azure Cloud ? Then join us as a Senior Cloud Architect Your Main Responsibilities Design and deliver Azure solution architecture for an application workload. Design disaster recovery and backup plans based on RTO, RPO and other non-functional requirements to deliver resilient solution on Public Cloud Assisting engineering teams delivering infrastructure architecture and designing cloud solutions. Build and maintain relationship with Application teams, understanding the context and assisting in achieving respective cloud transformation roadmap Engage with subject matter experts in Security, Enterprise Architecture and Governance teams to contribute and develop cloud technology roadmap and adherence to best practices. About You The following proven technical skills will be required: Expertise in designing app workload using Cloud Platform Services (SaaS, and PaaS). Expertise in technology selection based on Architecture decision records and other standards within the organization. Expertise in Azure AI Services (Foundry, ML OpenAI, Anomaly detection, Bot Services, LUIS) , AKS (Azure Kubernetes Service), App Services, DataBricks, ADF (Azure Data Factory), ASB (Azure Service Bus), EventHub, KV (Key Vault), SA (Storage Account), Container Registry, Azure Functions, Redis, LogicApps, Azure Firewall, VNET (Virtual Network), Private Endpoint, Service Endpoint, SQL Server, CosmosDB, MongoDB Experience in designing IaC using Terraform on Azure DevOps. Expertise in designing Azure disaster recovery and backup scenarios meeting NFRs. Azure Well-Architected framework or Cloud design patterns. Experience in one or more programming languages: .Net / C#, Java, Python or Ruby Experience in Azure landing zone design, platform automation design, DevSecOps tooling, network topology & connectivity, access management & privileged identity design, platform monitoring, security architecture, high availability architecture design. Experience in DevOps methodology (preferably DevSecOps), both technically and organisationally, including continuous deployment, delivery pipelines and test environments. Good stakeholder communication. Ability to work with Product Owner, Product Manager, Architects and engineering teams. At ease working in a transformational and complex environment at a fast-pace and getting things done. Proficiency in English is required. About Swiss Re Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords Reference Code: 133521

We are seeking a hands-on and forward-thinking Principal or Lead Engineer with deep expertise in Java-based backend development and a strong grasp of Generative AI technologies . You will lead the design, development, and deployment of Gen AI-based solutions, working across data, ML engineering, and software engineering teams to integrate AI capabilities into our core platforms and client-facing products. Responsibilities Lead end-to-end architecture and implementation of Generative AI solutions integrated with Java-based applications Evaluate, fine-tune, and deploy foundational and LLM models (e.g., GPT, LLaMA, Claude, Gemini) for use cases such as code generation, summarization, intelligent assistants, etc. Collaborate with engineers and practice leads to identify and scope high-impact Gen AI use cases Build solutions based on AI models with engineers. Mentor and guide junior engineers and set technical direction across AI initiatives Build scalable APIs and microservices in Java/Spring Boot that interact with AI models Optimize performance and cost of AI solutions in production using prompt engineering, retrieval-augmented generation (RAG), caching, and model selection Contribute to AI model experimentation and evaluation pipelines (OpenAI, Hugging Face, LangChain, etc.) Drive adoption of Gen AI best practices (e.g., guardrails, ethical AI, observability, and feedback loops) Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 10+ years of experience in Java/J2EE/Spring Boot and backend architecture 3+ years of experience working on ML/AI/Gen AI systems, including hands-on work with LLM APIs or open-source models Strong knowledge of modern Gen AI frameworks likeLangChain, LlamaIndex, andVector DBs (e.g., FAISS, Pinecone, Chroma) Experience integrating with LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face) or self-hosted models Working knowledge of Python for AI model orchestration and prototyping Solid understanding of data pipelines, REST APIs, containerization (Docker, Kubernetes), and CI/CD workflows Experience with AWS, GCP, or Azure AI/ML services Nice to have Familiarity with prompt engineering and fine-tuning LLMs using techniques like LoRA or PEFT Experience building RAG-based chatbots, copilots, or AI-powered developer tools Contributions to AI communities, research, or open-source Gen AI projects Strong communication and stakeholder management skills

About the Role: Grade Level (for internal use): 08 S&P Global Mobility The Role: Data Engineer The Team We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact We areseekinga motivated and talented Data Engineer to be a key player in building a robust data infrastructure and flows that supports our advanced forecasting models. Your initial focus will be to create a robust data factory to ensure smooth collection and refresh of actual data, a critical component that feeds our forecast. Additionally, you will be assisting in developing mathematical models and supporting the work of ML engineers and data scientists. Your work will significantly impact our ability to deliver timely and insightful forecasts to our clients. Whats in it for you: Opportunity to build foundational data infrastructure that directly impacts advanced forecasting models and client delivery. Gain exposure to and support the development of sophisticated mathematical models, Machine Learning, and Data Science applications. Contribute significantly to delivering timely and insightful forecasts, influencing client decisions in the automotive sector. Work in a collaborative environment that fosters continuous learning, mentorship, and professional growth in data engineering and related analytical fields. Responsibilities Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines for efficient data ingestion, processing, and storage, primarily focusing on creating a data factory for our core forecasting data. Data Quality and Integrity: Implement robust data quality checks and validation processes to ensure the accuracy and consistency of data used in our forecasting models. Mathematical Model Support: Collaborate with other data engineers to develop and refine mathematical logics and models that underpin our forecasting methodologies. ML and Data Science Support Provide data support to our Machine Learning Engineers and Data Scientists. Collaboration and Communication: Work closely with analysts, developers, and other stakeholders to understand data requirements and deliver effective solutions. Innovation and Improvement: Continuously explore and evaluate new technologies and methodologies to enhance our data infrastructure and forecasting capabilities. What Were Looking For: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Minimum of 1 - 2 years of experience in data engineering, with a proven track record of building and maintaining data pipelines. Strong proficiency in SQL and experience with relational and non-relational databases. Strong Python programming skills, with experience in data manipulation and processing libraries (e.g., Pandas, NumPy). Experience with mathematical modelling and supporting ML and data science teams. Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data services. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Experience in the automotive sector is a plus. Statement: S&P Global delivers essential intelligence that powers decision making. We provide the worlds leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, youll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand todays market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 203 - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group)

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 : 13.00 + years Salary : INR 7000000-9500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: C++, Kubernetes, Docker, Multithreading Netskope is Looking for: Principal Engineer (DLP) About The Role Please note, this team is hiring across multiple levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customer’s data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies including cutting edge algorithms and ML-based models while working with a talented and experienced team of software engineers in a dynamic and collaborative environment. What’s in it for you: We are looking for software engineers who are passionate about developing cutting-edge software in C++, Golang and Python. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection. What you will be doing: Developing software in C++, C, Golang, and Python. Architecting, designing and developing systems as part of the data security services offering. Using ML models and advanced data structures and algorithms to deliver solutions to challenging problems. Delivering solutions that prevent loss of sensitive or confidential data by performing deep content inspection of traffic. Developing highly scalable software solutions. Required skills and experience: 12+ years of industry experience building high-performance, scalable, and secure dataplane services. Programming mastery of C++ (Experience with Golang, Python, and C). Strong understanding of computer architecture such as multi-threading, CPU scheduling, and memory management. A solid understanding of algorithms and data structures to implement software solutions responsible for real-time inline data processing. Experience and knowledge of TCP, SSL, HTTP, and SMTP protocols and REST Services. Passion and hands-on experience developing data security solutions. Inspire out of the box thinking to solve challenging problems. Working knowledge of regular expression syntax and tools is a plus. Strong analytical and troubleshooting skills using debuggers like gdb and tools like Valgrind. Experience with Docker and Kubernetes. Experience with developing and deploying software to GCP, AWS, Azure. Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies. Proponent of TDD a big plus and a knowledge of various unit testing frameworks. Knowledge of and solid experience with Linux, Windows, and/or MacOS. Strong verbal and written communication skills. Able to communicate in an open, transparent and consistent manner with team and co-workers. Innovative and out-of-the box thinking to foster original ideas. Education: BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred 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!

Job Title: Data Scientist – Artificial Intelligence Experience: 5–8 Years Location: Hyderabad Job Summary We are seeking a talented and experienced Data Scientist – Artificial Intelligence to join our growing AI team in Hyderabad. The ideal candidate will have hands-on experience designing and developing intelligent contact center solutions using Amazon Connect , along with strong expertise in AWS services and data-driven automation. You will play a key role in building smart, scalable AI solutions that enhance customer engagement via voice and SMS channels. Key Responsibilities Design and develop Amazon Connect contact flows including voice and SMS integrations. Build conversational interfaces using Amazon Lex, integrate with Amazon Connect and other AWS services. Develop and deploy serverless applications using AWS Lambda, API Gateway, DynamoDB, S3, and Kinesis. Monitor and troubleshoot solutions using Amazon CloudWatch. Implement infrastructure as code using Terraform and manage access with AWS IAM. Collaborate with data engineers and ML engineers to integrate AI/ML models into customer engagement platforms. Analyze call center data to uncover patterns and insights for automation opportunities. Work in an Agile development environment and contribute to continuous integration and continuous deployment (CI/CD) pipelines. Required Skills & Qualifications 5–8 years of overall experience in Data Science / AI / Cloud Development. Strong experience with Amazon Connect including contact flow design, routing profiles, prompts, and integrations. Proficient in AWS services such as Lambda, Amazon Lex, Kinesis, S3, DynamoDB, API Gateway, and CloudWatch. Hands-on experience with Terraform for infrastructure automation. Strong programming skills in Python and experience building APIs. Solid understanding of machine learning concepts, NLP, and AI use cases in customer service. Familiarity with IAM policies and security best practices in AWS. Excellent communication skills and ability to work collaboratively in cross-functional teams. Good To Have Experience with CI/CD tools and DevOps practices. Knowledge of analytics tools for call center data like Amazon QuickSight or similar. Experience with multi-language support and regional routing in Amazon Connect.

Experience : 13.00 + years Salary : INR 7000000-9500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: C++, Kubernetes, Docker, Multithreading Netskope is Looking for: Principal Engineer (DLP) About The Role Please note, this team is hiring across multiple levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customer’s data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies including cutting edge algorithms and ML-based models while working with a talented and experienced team of software engineers in a dynamic and collaborative environment. What’s in it for you: We are looking for software engineers who are passionate about developing cutting-edge software in C++, Golang and Python. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection. What you will be doing: Developing software in C++, C, Golang, and Python. Architecting, designing and developing systems as part of the data security services offering. Using ML models and advanced data structures and algorithms to deliver solutions to challenging problems. Delivering solutions that prevent loss of sensitive or confidential data by performing deep content inspection of traffic. Developing highly scalable software solutions. Required skills and experience: 12+ years of industry experience building high-performance, scalable, and secure dataplane services. Programming mastery of C++ (Experience with Golang, Python, and C). Strong understanding of computer architecture such as multi-threading, CPU scheduling, and memory management. A solid understanding of algorithms and data structures to implement software solutions responsible for real-time inline data processing. Experience and knowledge of TCP, SSL, HTTP, and SMTP protocols and REST Services. Passion and hands-on experience developing data security solutions. Inspire out of the box thinking to solve challenging problems. Working knowledge of regular expression syntax and tools is a plus. Strong analytical and troubleshooting skills using debuggers like gdb and tools like Valgrind. Experience with Docker and Kubernetes. Experience with developing and deploying software to GCP, AWS, Azure. Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies. Proponent of TDD a big plus and a knowledge of various unit testing frameworks. Knowledge of and solid experience with Linux, Windows, and/or MacOS. Strong verbal and written communication skills. Able to communicate in an open, transparent and consistent manner with team and co-workers. Innovative and out-of-the box thinking to foster original ideas. Education: BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred 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 : 13.00 + years Salary : INR 7000000-9500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: C++, Kubernetes, Docker, Multithreading Netskope is Looking for: Principal Engineer (DLP) About The Role Please note, this team is hiring across multiple levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customer’s data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies including cutting edge algorithms and ML-based models while working with a talented and experienced team of software engineers in a dynamic and collaborative environment. What’s in it for you: We are looking for software engineers who are passionate about developing cutting-edge software in C++, Golang and Python. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection. What you will be doing: Developing software in C++, C, Golang, and Python. Architecting, designing and developing systems as part of the data security services offering. Using ML models and advanced data structures and algorithms to deliver solutions to challenging problems. Delivering solutions that prevent loss of sensitive or confidential data by performing deep content inspection of traffic. Developing highly scalable software solutions. Required skills and experience: 12+ years of industry experience building high-performance, scalable, and secure dataplane services. Programming mastery of C++ (Experience with Golang, Python, and C). Strong understanding of computer architecture such as multi-threading, CPU scheduling, and memory management. A solid understanding of algorithms and data structures to implement software solutions responsible for real-time inline data processing. Experience and knowledge of TCP, SSL, HTTP, and SMTP protocols and REST Services. Passion and hands-on experience developing data security solutions. Inspire out of the box thinking to solve challenging problems. Working knowledge of regular expression syntax and tools is a plus. Strong analytical and troubleshooting skills using debuggers like gdb and tools like Valgrind. Experience with Docker and Kubernetes. Experience with developing and deploying software to GCP, AWS, Azure. Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies. Proponent of TDD a big plus and a knowledge of various unit testing frameworks. Knowledge of and solid experience with Linux, Windows, and/or MacOS. Strong verbal and written communication skills. Able to communicate in an open, transparent and consistent manner with team and co-workers. Innovative and out-of-the box thinking to foster original ideas. Education: BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred 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!

Position :AI And Data Intern Requirements: Job Title: AI & Web Integration Intern Location: Kalyan Nagar, Bengaluru, Karnataka, India (On-site) Stipend: ?5,000 Per Month Internship Period: 3 Months About AI Masters World: AI Masters World is an innovative startup building a high-performance, 24/7 AI-powered server to provide advanced creative tools for film production, including script generation, music composition, image and video generation, and text-to-speech. We are looking for a driven intern to help integrate and optimize our cutting-edge AI models and connect them to our web platform. Internship Overview: This is a hands-on opportunity for a highly motivated individual to gain practical experience in deploying, optimizing, and integrating state-of-the-art AI models with a live web platform. You will work directly with our core team to bring complex AI functionalities to end-users, gaining valuable experience in a demanding and exciting field. Performance during the 3-month internship will be considered for long-term employment. Key Responsibilities: AI Model Deployment & Optimization: Download, manage, and optimize open-source Large Language Models (LLMs) and other AI models (e.g., Falcon, LLaMA 2, Stable Diffusion, MusicGen) on our high-performance server (AMD Threadripper, RTX A6000). Implement and fine-tune model loading techniques (e.g., 4-bit quantization, bitsandbytes) for efficient GPU (NVIDIA CUDA) utilization. Monitor AI model performance, VRAM usage, and troubleshoot loading or inference issues. Backend Integration: Develop and maintain Python-based API endpoints (using Flask/FastAPI) on the server to expose AI model functionalities to the web platform. Ensure secure and efficient communication between the web frontend and the AI backend. Frontend Web Integration & User Experience: Collaborate on integrating AI-powered features into the web platform using JavaScript (e.g., fetch API for backend communication). Assist in structuring and organizing web pages to provide a seamless and intuitive user experience for AI tool interaction (e.g., script generation interface, image generation controls). Contribute to basic UI/UX improvements for AI feature presentation. System Monitoring & Maintenance: Assist in setting up and monitoring server resources (CPU, GPU, RAM, storage, network) using command-line tools (nvidia-smi, htop) and potentially open-source monitoring solutions (Prometheus, Grafana). Document configurations and troubleshooting steps. Eligibility & Required Skills: Academic Background: College students pursuing a computer degree. Programming Languages: Strong proficiency in Python is mandatory. (Experience with Flask or FastAPI is a significant plus). Familiarity with JavaScript (ES6+), HTML, and CSS is essential. AI/ML Concepts: Basic understanding of Machine Learning and Deep Learning concepts. Familiarity with Large Language Models (LLMs) and generative AI models. Experience (even academic projects) with Hugging Face Transformers library is highly desirable. Understanding of GPU-accelerated computing (CUDA). System & Server Skills: Basic understanding of Linux command line (e.g., Ubuntu Server). Familiarity with network concepts (IP addresses, ports, basic HTTP requests). Understanding of basic server architecture (frontend/backend communication). Experience with Docker is a strong plus (for future deployment). Problem-Solving: Excellent analytical and problem-solving skills with a proactive attitude. Ability to debug technical issues in a complex environment. Soft Skills: Strong communication and collaboration skills. Ability to learn quickly and adapt to new technologies. Self-motivated and able to work independently as well as part of a team. Bonus Points (Highly Desired): Experience with specific AI models like LLaMA 2, Falcon, Stable Diffusion. Familiarity with bitsandbytes or other quantization techniques. Prior experience with deploying web applications or APIs is plus Personal projects involving AI models or web development. Job Type: Internship Contract length: 3 months Pay: ₹5,000.00 per month Work Location: On the road

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 : 13.00 + years Salary : INR 7000000-9500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: C++, Kubernetes, Docker, Multithreading Netskope is Looking for: Principal Engineer (DLP) About The Role Please note, this team is hiring across multiple levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customer’s data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies including cutting edge algorithms and ML-based models while working with a talented and experienced team of software engineers in a dynamic and collaborative environment. What’s in it for you: We are looking for software engineers who are passionate about developing cutting-edge software in C++, Golang and Python. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection. What you will be doing: Developing software in C++, C, Golang, and Python. Architecting, designing and developing systems as part of the data security services offering. Using ML models and advanced data structures and algorithms to deliver solutions to challenging problems. Delivering solutions that prevent loss of sensitive or confidential data by performing deep content inspection of traffic. Developing highly scalable software solutions. Required skills and experience: 12+ years of industry experience building high-performance, scalable, and secure dataplane services. Programming mastery of C++ (Experience with Golang, Python, and C). Strong understanding of computer architecture such as multi-threading, CPU scheduling, and memory management. A solid understanding of algorithms and data structures to implement software solutions responsible for real-time inline data processing. Experience and knowledge of TCP, SSL, HTTP, and SMTP protocols and REST Services. Passion and hands-on experience developing data security solutions. Inspire out of the box thinking to solve challenging problems. Working knowledge of regular expression syntax and tools is a plus. Strong analytical and troubleshooting skills using debuggers like gdb and tools like Valgrind. Experience with Docker and Kubernetes. Experience with developing and deploying software to GCP, AWS, Azure. Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies. Proponent of TDD a big plus and a knowledge of various unit testing frameworks. Knowledge of and solid experience with Linux, Windows, and/or MacOS. Strong verbal and written communication skills. Able to communicate in an open, transparent and consistent manner with team and co-workers. Innovative and out-of-the box thinking to foster original ideas. Education: BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred 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 : 13.00 + years Salary : INR 7000000-9500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: C++, Kubernetes, Docker, Multithreading Netskope is Looking for: Principal Engineer (DLP) About The Role Please note, this team is hiring across multiple levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customer’s data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies including cutting edge algorithms and ML-based models while working with a talented and experienced team of software engineers in a dynamic and collaborative environment. What’s in it for you: We are looking for software engineers who are passionate about developing cutting-edge software in C++, Golang and Python. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection. What you will be doing: Developing software in C++, C, Golang, and Python. Architecting, designing and developing systems as part of the data security services offering. Using ML models and advanced data structures and algorithms to deliver solutions to challenging problems. Delivering solutions that prevent loss of sensitive or confidential data by performing deep content inspection of traffic. Developing highly scalable software solutions. Required skills and experience: 12+ years of industry experience building high-performance, scalable, and secure dataplane services. Programming mastery of C++ (Experience with Golang, Python, and C). Strong understanding of computer architecture such as multi-threading, CPU scheduling, and memory management. A solid understanding of algorithms and data structures to implement software solutions responsible for real-time inline data processing. Experience and knowledge of TCP, SSL, HTTP, and SMTP protocols and REST Services. Passion and hands-on experience developing data security solutions. Inspire out of the box thinking to solve challenging problems. Working knowledge of regular expression syntax and tools is a plus. Strong analytical and troubleshooting skills using debuggers like gdb and tools like Valgrind. Experience with Docker and Kubernetes. Experience with developing and deploying software to GCP, AWS, Azure. Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies. Proponent of TDD a big plus and a knowledge of various unit testing frameworks. Knowledge of and solid experience with Linux, Windows, and/or MacOS. Strong verbal and written communication skills. Able to communicate in an open, transparent and consistent manner with team and co-workers. Innovative and out-of-the box thinking to foster original ideas. Education: BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred 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 : 13.00 + years Salary : INR 7000000-9500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: C++, Kubernetes, Docker, Multithreading Netskope is Looking for: Principal Engineer (DLP) About The Role Please note, this team is hiring across multiple levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customer’s data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies including cutting edge algorithms and ML-based models while working with a talented and experienced team of software engineers in a dynamic and collaborative environment. What’s in it for you: We are looking for software engineers who are passionate about developing cutting-edge software in C++, Golang and Python. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection. What you will be doing: Developing software in C++, C, Golang, and Python. Architecting, designing and developing systems as part of the data security services offering. Using ML models and advanced data structures and algorithms to deliver solutions to challenging problems. Delivering solutions that prevent loss of sensitive or confidential data by performing deep content inspection of traffic. Developing highly scalable software solutions. Required skills and experience: 12+ years of industry experience building high-performance, scalable, and secure dataplane services. Programming mastery of C++ (Experience with Golang, Python, and C). Strong understanding of computer architecture such as multi-threading, CPU scheduling, and memory management. A solid understanding of algorithms and data structures to implement software solutions responsible for real-time inline data processing. Experience and knowledge of TCP, SSL, HTTP, and SMTP protocols and REST Services. Passion and hands-on experience developing data security solutions. Inspire out of the box thinking to solve challenging problems. Working knowledge of regular expression syntax and tools is a plus. Strong analytical and troubleshooting skills using debuggers like gdb and tools like Valgrind. Experience with Docker and Kubernetes. Experience with developing and deploying software to GCP, AWS, Azure. Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies. Proponent of TDD a big plus and a knowledge of various unit testing frameworks. Knowledge of and solid experience with Linux, Windows, and/or MacOS. Strong verbal and written communication skills. Able to communicate in an open, transparent and consistent manner with team and co-workers. Innovative and out-of-the box thinking to foster original ideas. Education: BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred 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 : 13.00 + years Salary : INR 7000000-9500000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: C++, Kubernetes, Docker, Multithreading Netskope is Looking for: Principal Engineer (DLP) About The Role Please note, this team is hiring across multiple levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customer’s data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies including cutting edge algorithms and ML-based models while working with a talented and experienced team of software engineers in a dynamic and collaborative environment. What’s in it for you: We are looking for software engineers who are passionate about developing cutting-edge software in C++, Golang and Python. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection. What you will be doing: Developing software in C++, C, Golang, and Python. Architecting, designing and developing systems as part of the data security services offering. Using ML models and advanced data structures and algorithms to deliver solutions to challenging problems. Delivering solutions that prevent loss of sensitive or confidential data by performing deep content inspection of traffic. Developing highly scalable software solutions. Required skills and experience: 12+ years of industry experience building high-performance, scalable, and secure dataplane services. Programming mastery of C++ (Experience with Golang, Python, and C). Strong understanding of computer architecture such as multi-threading, CPU scheduling, and memory management. A solid understanding of algorithms and data structures to implement software solutions responsible for real-time inline data processing. Experience and knowledge of TCP, SSL, HTTP, and SMTP protocols and REST Services. Passion and hands-on experience developing data security solutions. Inspire out of the box thinking to solve challenging problems. Working knowledge of regular expression syntax and tools is a plus. Strong analytical and troubleshooting skills using debuggers like gdb and tools like Valgrind. Experience with Docker and Kubernetes. Experience with developing and deploying software to GCP, AWS, Azure. Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies. Proponent of TDD a big plus and a knowledge of various unit testing frameworks. Knowledge of and solid experience with Linux, Windows, and/or MacOS. Strong verbal and written communication skills. Able to communicate in an open, transparent and consistent manner with team and co-workers. Innovative and out-of-the box thinking to foster original ideas. Education: BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred 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!