Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext’s direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext ‘Timeline’, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. We’re looking for a Senior Data Analyst to join our data-driven team at an ad-tech company that thrives on turning complexity into clarity. Our analysts play a critical role in transforming raw, noisy data into accurate, actionable signals that drive real-time decision-making and long-term strategy. You’ll work closely with product, engineering, and business teams to uncover insights, shape KPIs, and guide performance optimization. Responsibilities: Analyze large-scale datasets from multiple sources to uncover actionable insights and drive business impact. Design, monitor, and maintain key performance indicators (KPIs) across ad delivery, bidding, and monetization systems. Partner with product, engineering, and operations teams to define metrics, run deep-dive analyses, and influence strategic decisions. Develop and maintain dashboards, automated reports, and data pipelines to ensure data accessibility and accuracy. Lead investigative analysis of anomalies or unexpected trends in campaign performance, traffic quality, or platform behavior. Requirements: BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / Mathematics / similar background. 3+ years of experience in Data Analysis and interpretation (Marketing/ Business/ Product). High proficiency in SQL. Experience with data visualization of large data sets using BI systems (Qlik Sense, Sisense, Tableau, Looker, etc.). Experience working with data warehouse/data lake tools like Athena / Redshift / Snowflake /BigQuery. Knowledge of Python - An advantage. Experience building ETL processes – An advantage. Fluent in English both written and spoken - Must Show more Show less

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext’s direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext ‘Timeline’, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As an Integration Manager you will be the main focal point in Appnext for client integrations including publishers, advertisers and other 3rd parties. The integration Manager provides day to day second line technical support to our clients requests, able to communicate effectively externally and internally and make sure everything is working smoothly as possible. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Responsible for leading mobile implementation projects with our customers, International top-notch companies, and app developers. Offer world-class support to our customers and account managers for new and existing projects. Handle requests from our clients for new features, bug fixes and manage its implementation and execution. Requirements : 3+ years of experience in mobile projects, integrations and project management Strong analytical and problem-solving skills Proven ability to read, debug, and understand mobile applications (HTML, SDK, JSON, Rest API calls, etc) - Must Knowledge in SQL queries - Must Basic knowledge of programming concepts. Work with internal/external customer teams to assess business and implementation risks, guide the technical integration process, assist with technical problem solving, and manage internal resources to resolve various customer issues. Excellent communication and multi-tasking skills. Passionate about customer service and support. Excellent troubleshooting skills, persistence to get to the bottom of complicated and inconsistent technical issues, and the ability to research problems that have never been encountered before. Fluent in English both written and spoken - Must Show more Show less

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext’s direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext ‘Timeline’, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As a Full Stack developer , you will design and implement end-to-end solutions by developing and maintaining complex React/Redux front-ends, building robust ASP.NET Core Web API endpoints with secure JWT authentication, optimizing client-server data exchange, managing MySQL database via procedures and Entity Framework Core, and collaborating on CI/CD pipelines in Azure DevOps or AWS. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Develop/maintain React frontend with complex state management Build robust C# Web API endpoints Implement secure authentication flows Optimize API-client data exchange Maintain SQL databases via EF Core Collaborate on CI/CD pipelines Requirements: +5 years of experience with C#/.NET Core +3 years of experience with React/Redux proficiency (hooks, context API) Experience with REST API development (ASP.NET Core Web API) Proficient with SQL/Entity Framework Core Experience with Styled-components/JSS JWT authentication implementation Complex form validation patterns Git flow/trunk-based development Azure DevOps/AWS experience Fluency in English - a must Show more Show less

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext’s direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext ‘Timeline’, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. You will play a key role in enhancing our Android SDK , collaborating closely with Product and Engineering teams, and using modern Android technologies to deliver seamless user experiences at scale. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Develop and maintain Appnext’s core Android SDK Work on device-level integrations used by leading mobile manufacturers and partners Solve complex engineering challenges involving background services, performance optimization, and UI/UX on embedded environments Influence design and architecture decisions within the Android domain Requirements: 4+ years of experience developing Android applications using Kotlin and modern Android technologies (e.g., Jetpack, Coroutines, MVVM) Solid understanding of Android background services, threading, and lifecycle Experience with REST APIs, JSON, and data persistence. Strong knowledge of object-oriented design and software architecture patterns Excellent coding skills and familiarity with unit/instrumentation testing A proactive team player with strong communication and collaboration abilities Experience in building and maintaining SDKs- Advantage Familiarity with WebView optimization and hybrid app integrations- Advantage BSc in Computer Science or equivalent hands-on experience- Advantage Fluent in English both written and spoken - Must Why Appnext? Work on technology embedded in millions of Android devices worldwide Join a collaborative, fast-paced, and impact-driven environment Enjoy a flexible work culture that values innovation and ownership Show more Show less

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext’s direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext ‘Timeline’, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As a Machine Learning Engineer , you will be in charge of building end-to-end machine learning pipelines that operate at a huge scale, from data investigation, ingestions and model training to deployment, monitoring, and continuous optimization. You will ensure that each pipeline delivers measurable impact through experimentation, high-throughput inference, and seamless integration with business-critical systems. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Build ML pipelines that train on real big data and perform on a massive scale. Handle a massive responsibility, Advertise on lucrative placement (Samsung appstore, Xiaomi phones, TrueCaller). Train models that will make billions of daily predictions and affect hundreds of millions users. Optimize and discover the best solution algorithm to data problems, from implementing exotic losses to efficient grid search. Validate and test everything. Every step should be measured and chosen via AB testing. Use of observability tools. Own your experiments and your pipelines. Be Frugal. Optimize the business solution at minimal cost. Advocate for AI. Be the voice of data science and machine learning, answering business needs. Build future products involving agentic AI and data science. Affect millions of users every instant and handle massive scale Requirements: MSc in CS/EE/STEM with at least 5 years of proven experience (or BSc with equivalent experience) as a Machine Learning Engineer: strong focus on MLOps, data analytics, software engineering, and applied data science- Must Hyper communicator: Ability to work with minimal supervision and maximal transparency. Must understand requirements rigorously, while frequently giving an efficient honest picture of his/hers work progress and results. Flawless verbal English- Must Strong problem-solving skills, drive projects from concept to production, working incrementally and smart. Ability to own features end-to-end, theory, implementation, and measurement. Articulate data-driven communication is also a must. Deep understanding of machine learning, including the internals of all important ML models and ML methodologies. Strong real experience in Python, and at least one other programming language (C#, C++, Java, Go…). Ability to write efficient, clear, and resilient production-grade code. Flawless in SQL. Strong background in probability and statistics. Experience with tools and ML models Experience with conducting A/B test. Experience with using cloud providers and services (AWS) and python frameworks: TensorFlow/PyTorch, Numpy, Pandas, SKLearn (Airflow, MLflow, Transformers, ONNX, Kafka are a plus). AI/LLMs assistance: Candidates have to hold all skills independently without using AI assist. With that candidates are expected to use AI effectively, safely and transparently. Preferred: Deep Knowledge in ML aspects including ML Theory, Optimization, Deep learning tinkering, RL, Uncertainty quantification, NLP, classical machine learning, performance measurement. Prompt engineering and Agentic workflows experience Web development skills Publication in leading machine learning conferences and/or medium blogs. Show more Show less

Designation: Manager Office Location: Mumbai/Bengaluru Position Description: Appnext is seeking a dynamic and results-driven sales leader to lead its strategic sales activities in India. In this role, your primary responsibility will be to own the revenue of a strategic project, educate the market, drive business growth by identifying and pursuing new partnership opportunities. Primary Responsibilities: Introduce & educate about Appnext OEM Agency Business and services to potential app developers Launch app developers' campaigns on leading Android stores in India Manage the entire sales cycle from initial reach-out to commercial agreements Own and oversee new partners' onboarding process and lead them to a successful launch Manage long-term trusted relationships, advise and consult your partners regularly Monitor partnership performance metrics and KPIs to evaluate the effectiveness of business development initiatives, together with the CSM team Provide feedback and insights from partners to enhance Appnext's products and services Required Skills: 3+ years’ experience in sales, business development, partnership management, or a similar role within the mobile app industry A clear understanding of the Indian AdTech Market and vast connections in the industry – a must Strong knowledge and network of the mobile app ecosystem, advertising technologies, and app monetization models Experience with OEMs (Oppo, Vivo, Xiaomi etc.) business sales- an asset Proven experience in owning a digital project revenue, from sales to retention You can be autonomous and independent in your role, yet also a team player Excellent verbal and written English skills, able to present complex data clearly and professionally Exceptional Negotiation skills Bachelor’s degree in business, Marketing, Communications or equivalent - an advantage About Affle : Affle is a global technology company with a proprietary consumer intelligence platform that delivers consumer recommendations and conversions through relevant Mobile Advertising. The platform aims to enhance returns on marketing investment through contextual mobile ads and also by reducing digital ad fraud. Affle powers unique and integrated consumer journeys for marketers to drive high ROI, measurable outcome-led advertising across global connected devices. Some of Affle's leading platforms include - Appnext, Jampp, MAAS, mDMP, mediasmart, mTraction Enterprise, RevX and Vizury. Affle (India) Limited successfully completed its IPO in India and now trades on the stock exchanges (BSE: 542752 & NSE: AFFLE). Affle Holdings is the Singapore based promoter for Affle (India) Limited, and its investors include Microsoft, Bennett Coleman & Company (BCCL) amongst others. For more information visit www.affle.com About Appnext: Appnext is the only platform to provide end-to-end discovery solutions from the initial device setup and personalization throughout daily mobile touchpoints, for a seamless user engagement experience from initial device setup to continuous engagement at any given moment. Appnext discovery platform powers 6.5 billion daily app recommendations globally. An average user interacts with Appnext device-level app recommendations +20 times a day throughout his daily mobile journey. For more information visit www.appnext.com

As a Machine Learning Engineer, you will be in charge of building end-to-end machine learning pipelines that operate at a huge scale, from data investigation, ingestions and model training to deployment, monitoring, and continuous optimization. You will ensure that each pipeline delivers measurable impact through experimentation, high-throughput inference, and seamless integration with business-critical systems. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Build ML pipelines that train on real big data and perform on a massive scale. Handle a massive responsibility, Advertise on lucrative placement (Samsung appstore, Xiaomi phones, Truecaller). Train models that will make billions of daily predictions and affect hundreds of millions users. Optimize and discover the best solution algorithm to data problems, from implementing exotic losses to efficient grid search. Validate and test everything. Every step should be measured and chosen via AB testing. Use of observability tools. Own your experiments and your pipelines. Be Frugal. Optimize the business solution at minimal cost. Advocate for ai. Be the voice of data science and machine learning answering business needs. Build future products involving agentic AI and data science. Affect million of users every instant and handle massive scale Requirements MSc in CS/EE/STEM with at least 5 years of proven experience (or BSc with equivalent experience) as a Machine Learning Engineer: strong focus on MLOps, data analytics, software engineering, and applied data science- Must Hyper communicator: Ability to work with minimal supervision and maximal transparency. Must understand requirements rigorously, while frequently giving an efficient honest picture of his/hers work progress and results. Flawless verbal English- Must Strong problem solving skills, drive projects from concept to production, working incrementally and smart. Ability to own features end to end, theory, implementation and measurement. Articulate data driven communication is also a must. Deep understanding of machine learning, including the internals of all important ML models and ML methodologies. Strong real experience in Python, and at least one another programming languages (C#, C++, Java, Go). Ability to write efficient, clear and resilient production grade code. Flawless in SQL. Strong background in probability and statistics. Experience with tools and ML models Experience with conducting A/B test. Experience with using cloud providers and services (AWS) and python frameworks: TensorFlow/PyTorch, Numpy, Pandas, SKLearn (Airflow, MLflow, Transformers, ONNX, Kafka are a plus). AI/LLMs assistance: Candidates have to hold all skills independently without using AI assist. With that candidates are expected to use AI effectively, safely and transparently. Preferred: Deep Knowledge in ML aspects including ML Theory, Optimization, Deep learning tinkering, RL, Uncertainty quantification, NLP, classical machine learning, performance measurement. Prompt engineering and Agentic workflows experience Web development skills Publication in leading machine learning conferences and/or medium blogs

As a Full Stack developer , you will design and implement end-to-end solutions by developing and maintaining complex React/Redux front-ends, building robust ASP.NET Core Web API endpoints with secure JWT authentication, optimizing client-server data exchange, managing MySQL database via procedures and Entity Framework Core, and collaborating on CI/CD pipelines in Azure DevOps or AWS. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Develop/maintain React frontend with complex state management Build robust C# Web API endpoints Implement secure authentication flows Optimize API-client data exchange Maintain SQL databases via EF Core Collaborate on CI/CD pipelines Requirements +5 years of experience with C#/.NET Core +3 years of experience with React/Redux proficiency (hooks, context API) Experience with REST API development (ASP.NET Core Web API) Proficient with SQL/Entity Framework Core Experience with Styled-components/JSS JWT authentication implementation Complex form validation patterns Git flow/trunk-based development Azure DevOps/AWS experience Fluency in English - a must

You will play a key role in enhancing our Android SDK , collaborating closely with Product and Engineering teams, and using modern Android technologies to deliver seamless user experiences at scale. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Develop and maintain Appnexts core Android SDK Work on device-level integrations used by leading mobile manufacturers and partners Solve complex engineering challenges involving background services, performance optimization, and UI/UX on embedded environments Influence design and architecture decisions within the Android domain Requirements 4+ years of experience developing Android applications using Kotlin and modern Android technologies (e.g., Jetpack, Coroutines, MVVM) Solid understanding of Android background services, threading, and lifecycle Experience with REST APIs, JSON, and data persistence. Strong knowledge of object-oriented design and software architecture patterns Excellent coding skills and familiarity with unit/instrumentation testing A proactive team player with strong communication and collaboration abilities Experience in building and maintaining SDKs- Advantage Familiarity with WebView optimization and hybrid app integrations- Advantage BSc in Computer Science or equivalent hands-on experience- Advantage Fluent in English both written and spoken - Must Why Appnext Work on technology embedded in millions of Android devices worldwide Join a collaborative, fast-paced, and impact-driven environment Enjoy a flexible work culture that values innovation and ownership

Were looking for a Senior Data Analyst to join our data-driven team at an ad-tech company that thrives on turning complexity into clarity. Our analysts play a critical role in transforming raw, noisy data into accurate, actionable signals that drive real-time decision-making and long-term strategy. Youll work closely with product, engineering, and business teams to uncover insights, shape KPIs, and guide performance optimization. Responsibilities: Analyze large-scale datasets from multiple sources to uncover actionable insights and drive business impact. Design, monitor, and maintain key performance indicators (KPIs) across ad delivery, bidding, and monetization systems. Partner with product, engineering, and operations teams to define metrics, run deep-dive analyses, and influence strategic decisions. Develop and maintain dashboards, automated reports, and data pipelines to ensure data accessibility and accuracy. Lead investigative analysis of anomalies or unexpected trends in campaign performance, traffic quality, or platform behavior. Requirements BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / Mathematics / similar background. 3+ years of experience in Data Analysis and interpretation (Marketing/ Business/ Product). High proficiency in SQL. Experience with data visualization of large data sets using BI systems (Qlik Sense, Sisense, Tableau, Looker, etc.). Experience working with data warehouse/data lake tools like Athena / Redshift / Snowflake /BigQuery. Knowledge of Python - An advantage. Experience building ETL processes An advantage. Fluent in English both written and spoken - Must

As an Integration Manager you will be the main focal point in Appnext for client integrations including publishers, advertisers and other 3rd parties. The integration Manager provides day to day second line technical support to our clients requests, able to communicate effectively externally and internally and make sure everything is working smoothly as possible. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Responsible for leading mobile implementation projects with our customers, International top-notch companies, and app developers. Offer world-class support to our customers and account managers for new and existing projects. Handle requests from our clients for new features, bug fixes and manage its implementation and execution. Requirements 3+ years of experience in mobile projects, integrations and project management Strong analytical and problem-solving skills Proven ability to read, debug, and understand mobile applications (HTML, SDK, JSON, Rest API calls, etc) - Must Knowledge in SQL queries - Must Basic knowledge of programming concepts. Work with internal/external customer teams to assess business and implementation risks, guide the technical integration process, assist with technical problem solving, and manage internal resources to resolve various customer issues. Excellent communication and multi-tasking skills. Passionate about customer service and support. Excellent troubleshooting skills, persistence to get to the bottom of complicated and inconsistent technical issues, and the ability to research problems that have never been encountered before. Fluent in English both written and spoken - Must

Appnext is looking for a Manager to lead strategic sales activities in India from the Bengaluru office. Your main focus will be to drive revenue for a strategic project, educate the market, and foster business growth through identifying and pursuing new partnership opportunities. Your responsibilities will include introducing and educating potential app developers about Appnext's OEM Agency Business, launching campaigns for app developers on leading Android stores in India, managing the entire sales cycle, overseeing onboarding processes for new partners, and maintaining long-term relationships with partners. You will also be required to monitor partnership performance metrics and provide feedback to enhance Appnext's products and services. To excel in this role, you should have at least 3 years of experience in sales, business development, or partnership management in the mobile app industry. A deep understanding of the Indian AdTech Market and strong connections within the industry are crucial. Knowledge of the mobile app ecosystem, advertising technologies, and app monetization models is essential. Experience with OEMs business sales, especially with companies like Oppo, Vivo, and Xiaomi, will be advantageous. The ideal candidate will have proven experience in managing digital project revenue, possess excellent negotiation skills, and be able to work both independently and as part of a team. Strong verbal and written English skills are necessary, along with a bachelor's degree in business, Marketing, Communications or related field. Appnext is a part of Affle, a global technology company that focuses on delivering consumer recommendations and conversions through mobile advertising. As a Manager at Appnext, you will play a key role in driving high ROI and measurable outcomes for marketers by leveraging Appnext's discovery platform, which powers billions of daily app recommendations worldwide. If you are a dynamic and results-driven individual with a passion for sales and partnership management in the mobile app industry, this is an exciting opportunity to lead strategic initiatives and drive business growth in India with Appnext. Visit www.appnext.com for more information.,

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext's direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext Timeline, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As a Machine Learning Engineer, you will be in charge of building end-to-end machine learning pipelines that operate at a huge scale, from data investigation, ingestions and model training to deployment, monitoring, and continuous optimization. You will ensure that each pipeline delivers measurable impact through experimentation, high-throughput inference, and seamless integration with business-critical systems. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Build ML pipelines that train on real big data and perform on a massive scale. Handle a massive responsibility, Advertise on lucrative placement (Samsung appstore, Xiaomi phones, TrueCaller). Train models that will make billions of daily predictions and affect hundreds of millions users. Optimize and discover the best solution algorithm to data problems, from implementing exotic losses to efficient grid search. Validate and test everything. Every step should be measured and chosen via AB testing. Use of observability tools. Own your experiments and your pipelines. Be Frugal. Optimize the business solution at minimal cost. Advocate for AI. Be the voice of data science and machine learning, answering business needs. Build future products involving agentic AI and data science. Affect millions of users every instant and handle massive scale Requirements: MSc in CS/EE/STEM with at least 5 years of proven experience (or BSc with equivalent experience) as a Machine Learning Engineer: strong focus on MLOps, data analytics, software engineering, and applied data science- Must Hyper communicator: Ability to work with minimal supervision and maximal transparency. Must understand requirements rigorously, while frequently giving an efficient honest picture of his/hers work progress and results. Flawless verbal English- Must Strong problem-solving skills, drive projects from concept to production, working incrementally and smart. Ability to own features end-to-end, theory, implementation, and measurement. Articulate data-driven communication is also a must. Deep understanding of machine learning, including the internals of all important ML models and ML methodologies. Strong real experience in Python, and at least one other programming language (C#, C++, Java, Go). Ability to write efficient, clear, and resilient production-grade code. Flawless in SQL. Strong background in probability and statistics. Experience with tools and ML models Experience with conducting A/B test. Experience with using cloud providers and services (AWS) and python frameworks: TensorFlow/PyTorch, Numpy, Pandas, SKLearn (Airflow, MLflow, Transformers, ONNX, Kafka are a plus). AI/LLMs assistance: Candidates have to hold all skills independently without using AI assist. With that candidates are expected to use AI effectively, safely and transparently. Preferred: Deep Knowledge in ML aspects including ML Theory, Optimization, Deep learning tinkering, RL, Uncertainty quantification, NLP, classical machine learning, performance measurement. Prompt engineering and Agentic workflows experience Web development skills Publication in leading machine learning conferences and/or medium blogs.,