- Analyze and review ads/videos that have been flagged for review of potentially sensitive content to ensure there are no violations of COPPA/CIPA policies. - General review of Movies/TV Shows episodical contents. - Data collection for Movies/TV Shows from various websites. - Review of Global Search Feed for Movies/Kids contents. By achieving all the above, you will be establishing the right customer experience and long-term strategy for increasing the traffic KPIs. Requirements: - Clear understanding of the kids audience segment and what videos/ads may be considered safe and not safe for them - Understanding of CIPA and COPPA compliance will be an added advantage - Outstanding American English listening, communication and comprehensive skills - Good vocabulary to understand the meaning of all words used in the videos/ads (to judge whether or not it is safe for kids viewing) - Good with various English accents, to be able to understand words pronounced differently - A fair understanding of the non-Kids segment of US audience and their preference - Basic understanding of new media, IPTV, Smart TV and mobile apps - Easily trainable with good grasping power and ability to scale up right after training - Ability to work on high volume tasks with tight deadlines, self-motivated and proactive - Result oriented and capable of multi-tasking - Someone, who is looking for a long time career relationship - Willingness to work on night shifts and weekends is a prerequisite. Perks and Benefits: Best in the Industry Important Links that you can look up are: http://futuretodayinc.com/ https://fawesome.tv/ https://happykids.tv/
Job Summary We are seeking a detail-oriented and analytical Junior Data Scientist join our team. The ideal candidate will play a crucial role in maintaining data integrity, performing data cleaning tasks, and supporting the generation of key data reports. This position offers an excellent opportunity for growth and skill development in the field of data analytics and management. Role & responsibilities Clean, validate, and prepare large datasets to ensure consistency and reliability Assist in the extraction, transformation and loading (ETL) of data across internal and external sources Support the maintenance of data pipelines and documentation Collaborate with cross-functional teams to understand data requirements and help ensure data availability and quality Write SQL queries for data validation, reporting, and troubleshooting purposes Use Python for data extraction, manipulation, analysis, visualizations and automation (Pandas, NumPy, Matplotlib/Seaborn, BeautifulSoup) Contribute to regular and ad-hoc reporting tasks using Excel and BI tools like Tableau or Looker Studio Work alongside senior analysts and data scientists to support ongoing projects, contributing to data preparation, analysis, and meaningful insights wherever possible Support the development and testing of basic machine learning models Preferred candidate profile Bachelors degree in engineering, Statistics, Mathematics, Computer Science, or related field. Proficient in Excel, including advanced functions like pivot tables, VLOOKUP/INDEX-MATCH, and data visualization Hands-on experience with SQL for writing complex queries Proficient in Python for data analysis; familiarity with libraries such as Pandas and NumPy Solid understanding of data cleaning techniques, validation processes, and foundational data warehousing concepts Strong analytical mindset with high attention to detail Ability to collaborate effectively with cross-functional teams and translate business needs into actionable data tasks Excellent communication skills to convey complex data insights to non-technical stakeholders. Candidates available to join immediately or within 45 days will be given preference
Role & responsibilities Work with large and complex data sets (both internal & external) to evaluate, recommend, and support the implementation of business strategies Build and maintain scalable ETL pipelines, data warehouses, and data lakes to enable efficient data access and processing Strong hands-on expertise in SQL for data extraction, transformation, and complex querying of structured data Experienced in Python with strong skills in data scraping, cleaning, manipulation, and analysis using libraries like Pandas, NumPy, Scikit-learn, and TensorFlow with at least 3-4 years of hands-on experience Experience in building and deploying machine learning models (regression and time series models preferred), with at least 23 years of hands-on experience Highly proficient in Excel for data mining and analysis, using advanced functions, formulas, charting, toolbars, VLOOKUP/HLOOKUP, INDEX-MATCH, conditional formatting, pivot tables, VBA & Macros, simulations, and solvers Devise and implement data-driven strategies and effectively communicate key insights to stakeholders for informed decision-making Build dashboards, support data needs, and provide analytics and customer insights. Preferred candidate profile Bachelors degree or higher in a quantitative field such as Engineering, Statistics, Mathematics, Computer Science, or related discipline Proven working experience as a Data Scientist or Data Analyst, with at least 4 years of experience in customer data analysis; prior experience in the OTT domain is a plus Proficient in tools and technologies like Python, SQL, Tableau, Looker Studio and similar BI platforms Proven experience in developing, training, and deploying machine learning models especially regression and time series — to solve real-world business problems Excellent communication skills and ability to translate high volume data dumps into meaningful reports & insights Result oriented approach and ability to recreate proven models in any given scenario We are seeking candidates who can join in 45days Max and the hiring is for senior & intermediary roles as well Perks and benefits Work from Home, Great Work Environment, Above Market Salary
What Youll Own As Backend Product Lead, you will be at the intersection of business logic, platform strategy, and backend system capabilities, managing products that fuel: Recommendation & Personalization Systems Universal Search Feeds (XML, MRSS, JSON) for content syndication CMS & Content Workflow Management AI & Automation Initiatives aligned with streaming workflows Reporting, Metadata Enrichment, and Internal APIs Key Responsibilities Define the vision, roadmap, and KPIs for backend-driven product features. Translate complex business needs into scalable, developer-friendly product requirements. Lead the development and launch of backend systems powering recommendation, search, CMS, and partner integrations. Collaborate with Engineering, Data, Editorial, and Distribution teams to ensure high performance and reliability. Drive API product design across internal and third-party use cases. Champion backend product initiatives that directly impact viewer engagement, content discovery, and operational efficiency . Leverage AI and automation to streamline content ingestion, metadata handling, and personalization. What You Bring 6+ years in product management, with 3+ focused on backend or platform products . Deep understanding of APIs, feeds (XML/MRSS/JSON), microservices , and cloud architecture. Experience working with OTT platforms, AVOD/FAST channel ecosystems . Experience working with recommendation engines, search systems, CMS , or similar infrastructure in content/media tech. Strong collaboration with tech leads, engineers, and cross-functional teams. Excellent problem-solving, prioritization, and stakeholder communication skills. Familiarity with AI/ML applications in media/streaming is a strong plus. Why Join Us Lead backend products at the core of our streaming experience. Be a part of transformative AI, personalization, and automation initiatives. Join a collaborative, fast-paced culture driving innovation in entertainment tech. Enjoy strong learning opportunities, career growth, and visible impact
We have an opportunity for an Internship, if performance is good can be converted to full-time too. Kindly go through and let me know if you can share a few good CVs for the same. Its permanent work from home opportunity Position Intern - Social Media Level Junior Req Skill Sets Eye for detail, dliligent, basic know-how of social platforms like Facebook, Instagram, Letterboxd, X, Reddit, etc. Experienced in writing content (Social Media Posts, threads) Well conversant in American English Understanding of Social Platform algorithms and content that works Any Education background mentioned in below list Bachelors in Mass Communication / Journalism Bachelor of Business Administration (BBA) - Marketing / Digital Marketing Bachelors in Advertising and Public Relations Bachelor’s in Communication Design / Visual Communication Bachelor’s in Multimedia and Animation Bachelor’s in Digital Media & Communication Bachelor’s in English / Literature / Creative Writing (for content-focused roles) Bachelor of Fine Arts (BFA) - Design / Media Arts Master’s in Digital Marketing / Social Media Marketing Master of Business Administration (MBA) - Marketing / Advertising / Digital Marketing Master’s in Mass Communication / Journalism Master’s in Advertising & Public Relations Master’s in Multimedia & Animation Master’s in Communication Design / Visual Communication Master’s in New Media Studies / Digital Media & Communication Master’s in Content Writing / Creative Writing
Role & responsibilities 3-5 years of experience in Android mobile applications development with in-depth understanding of Android Architecture, Framework, Android SDK, Core Java, Kotlin, Android Studio IDE, Android Debugger Hands-on experience in building mobile applications and mobility solutions native applications Minimum 3 years experience in building FireTV apps. 1+ years of commercial experience developing and delivering Flutter-based apps. Android tv experience will be an added advantage and will be given weightage on it Take ownership of end-to-end product quality, from developing to maintaining core app frameworks that help make our apps more efficient and error prone. You will influence how we build individual features and products, and bring in best practices and patterns that can be used for engineering lifecycle for Android You'll take ownership of our continued efforts to scale TV and Mobile app development, providing valuable insight on how we can refine our processes and tools to support additional contributors in our architecture and code Drive feature development for our well-renowned apps for Mobile and Tv Apps Strong knowledge of design patterns Experience with source control systems, specifically GIT and SVN Preferred candidate profile Having experience with OTT Apps Fire Tv or Android Tv Hands-on experience in building Mobile and TV native applications Expert in UI components controls like recycler view and custom UI components Easy to work with existing code base and enhance code quality and structure Expert in basic Android Architecture components and Jetpack Libraries Having experience with Player and VAST Ads integration Good working experience on Web Service Integration ( REST, JSON, XML) Experience in using analytics Google Analytics, Clevertap etc.
Job Title: Director / Head of Data Engineering OTT Streaming Platform Location: [City, Country / Remote] Department: Data & Analytics Reports to: Chief Technology Officer (CTO) / Chief Data Officer (CDO) Role Overview We are looking for an accomplished Director / Head of Data Engineering to lead our data engineering organization, shaping the architecture, strategy, and execution of data systems that drive the heart of our OTT streaming business. This leader will be responsible for building and optimizing a world-class, AI-powered data platform that processes billions of events dailyfrom user playback behavior and content metadata to ad performance and network delivery metrics. In this role, you will not only ensure data scalability, accuracy, and security but also champion the use of AI, machine learning, and automation to accelerate ingestion, processing, modeling, and analytics. Your leadership will influence critical areas including personalization algorithms, real-time ad targeting, audience insights, churn prediction, and operational efficiency for our AVOD, SVOD, and Linear FAST channels. Key Responsibilities 1. Data Strategy & Architecture Define and execute the long-term vision for enterprise-scale data infrastructure, ensuring it supports business growth, innovation, and monetization strategies. Architect and evolve a hybrid real-time and batch data platform capable of handling petabyte-scale workloads. Drive AI-first design principles in data processing, warehouse optimization, and metadata management. Evaluate and implement automation-first pipelines for hourly, daily, and event-driven data updates. 2. AI & Automation Leadership Lead the integration of AI/ML-based solutions for schema optimization, anomaly detection, metadata enrichment, automated ETL orchestration, and query performance tuning. Champion generative AI applications for automated documentation, pipeline debugging, and data quality reporting. Build predictive analytics capabilities into the platform to anticipate scaling needs, detect streaming anomalies, and optimize ad delivery in real time. Deploy AI-powered monitoring to proactively identify and resolve data issues before they impact business metrics. 3. Team Leadership & Development Lead, mentor, and scale a high-performing global data engineering team including managers, senior engineers, and data architects. Foster a culture of innovation, automation, and continuous learning . Collaborate closely with Data Science, Product, Ad Tech, and Engineering leadership to align priorities and deliver measurable outcomes. 4. Data Quality, Governance & Compliance Oversee data governance frameworks ensuring accuracy, completeness, lineage, and security . Ensure compliance with GDPR, CCPA, SOC 2 , and other relevant regulations. Integrate AI-enabled governance tools for policy enforcement, data cataloging, and automated classification of sensitive information. 5. Cross-Functional Business Impact Partner with content, marketing, ad sales, and operations to ensure that data insights directly drive revenue growth, engagement, and retention . Provide strategic input on personalization engines, ad targeting algorithms, and customer lifecycle analytics . Translate complex technical concepts into actionable business strategies for the executive team. Qualifications Required: Bachelors/Master’s degree in Computer Science, Data Engineering, or related field; PhD a plus. 12+ years in data engineering, with at least 5 years in leadership roles managing large-scale data platforms. Proven track record in OTT, media streaming, or other high-scale consumer technology environments. Expertise in cloud-based data platforms (AWS, GCP, Azure) and data warehousing technologies (Snowflake, BigQuery, Redshift, Databricks). Deep knowledge of distributed data processing frameworks (Apache Spark, Flink, Beam). Strong experience with real-time streaming data systems (Kafka, Kinesis, Pub/Sub). Hands-on success in applying AI/ML to data engineering , including automation, performance tuning, metadata enrichment, and anomaly detection. Exceptional ability to design and implement highly available, cost-optimized, and performance-focused data ecosystems. Preferred: Background in ad tech and monetization analytics for AVOD/FAST platforms. Experience integrating recommendation systems, A/B testing platforms, and audience segmentation pipelines . Familiarity with MLOps, feature store architectures, and model monitoring . Key Skills & Attributes Visionary leadership with hands-on technical credibility . Strategic thinking balanced with execution focus. Strong business acumen—able to link data engineering excellence with revenue, retention, and cost optimization. Passion for AI-driven transformation in data engineering. Excellent communication and storytelling skills for C-suite and technical audiences alike. Performance Metrics Reduction in data pipeline latency and operational overhead through automation. Measurable AI-driven efficiency gains in processing, storage, and analytics. Data platform uptime, cost optimization, and scalability benchmarks. Quality and timeliness of business insights delivered. Team engagement, retention, and innovation output.
Job Title: Senior Data Engineer OTT Streaming Platform Location: [ Remote] Key Responsibilities 1. Data Pipeline Development & Maintenance Design, implement, and maintain scalable ETL/ELT pipelines for ingesting, processing, and transforming structured, semi-structured, and unstructured data from multiple sources (playback events, ad servers, content catalogs, third-party APIs). Ensure real-time streaming data ingestion for analytics, personalization, and A/B testing using tools like Kafka, Kinesis, or Pub/Sub. Build batch and hourly refresh pipelines for operational reporting, audience insights, and decision support. Implement AI-driven data processing workflows to optimize transformation logic, resource usage, and anomaly detection. 2. Data Modeling & Warehousing Develop and maintain optimized data models for content performance, audience segmentation, churn prediction, and monetization analysis. Manage cloud-based data warehouses (Snowflake, BigQuery, Redshift, or Databricks) for high-volume analytics workloads. Utilize AI-based optimization for schema design, query acceleration, and automated indexing to enhance performance and reduce costs. Ensure schema design aligns with analytical and operational needs. 3. Data Quality, Governance & Security Implement data validation, monitoring, and alerting frameworks to ensure accuracy, consistency, and availability of datasets. Integrate AI-enabled data quality monitoring for proactive detection of inconsistencies, delays, or corruptions. Work with the Data Governance team to maintain compliance with GDPR, CCPA, and other privacy regulations . Enforce secure access controls for sensitive user and business data. 4. Collaboration & Business Impact Partner with Data Science and ML teams to prepare training datasets for recommendation algorithms, ad targeting, and personalization models. Collaborate with Product and Marketing teams to deliver audience insights and campaign performance metrics. Drive AI adoption across data engineering workflows to improve agility, scalability, and decision-making speed. Provide technical mentorship to junior engineers. Qualifications Required: Bachelors/Masters degree in Computer Science, Data Engineering, or related field. 6+ years of experience in data engineering roles, preferably in high-scale consumer tech, media, or OTT streaming environments. Strong programming skills in Python, Scala, or Java for data processing. Hands-on experience with distributed data frameworks (Apache Spark, Flink, Beam). Proven expertise with streaming data technologies (Kafka, Kinesis, Pub/Sub). Proficiency in SQL and performance optimization for large datasets. Experience with cloud platforms (AWS, GCP, Azure) and services like S3, EMR, Dataflow, Glue, etc. Strong understanding of data modeling (star/snowflake schemas) and warehousing best practices. Practical experience in applying AI/ML techniques for data pipeline optimization, automated schema evolution, query performance tuning, and anomaly detection. Preferred: Experience with OTT/Media streaming analytics (e.g., playback logs, CDN metrics, ad impression data). Familiarity with recommendation systems, A/B testing frameworks, and audience segmentation . Knowledge of ad tech pipelines for AVOD/FAST (VAST, SSAI, client-side tracking). Exposure to machine learning data pipelines and MLOps practices. Key Skills & Attributes Ability to work with petabyte-scale datasets with performance and cost-efficiency in mind. Strong analytical thinking with a business impact mindset. Excellent communication skills for cross-functional collaboration. Self-driven, proactive, and able to work in fast-paced environments. Demonstrated ability to blend traditional data engineering with AI-powered automation . Performance Metrics Data pipeline uptime and latency. Data accuracy and completeness. Query performance improvements. AI-enabled efficiency gains in data processing and warehouse management. Contribution to business KPIs (e.g., CLV, data warehouse, feature impact, A&B testing etc ).
- Analyze and review ads/videos that have been flagged for review of potentially sensitive content to ensure there are no violations of COPPA/CIPA policies. - General review of Movies/TV Shows episodical contents. - Data collection for Movies/TV Shows from various websites. - Review of Global Search Feed for Movies/Kids contents. By achieving all the above, you will be establishing the right customer experience and long-term strategy for increasing the traffic KPIs. Requirements: - Clear understanding of the kids audience segment and what videos/ads may be considered safe and not safe for them - Understanding of CIPA and COPPA compliance will be an added advantage - Outstanding American English listening, communication and comprehensive skills - Good vocabulary to understand the meaning of all words used in the videos/ads (to judge whether or not it is safe for kids viewing) - Good with various English accents, to be able to understand words pronounced differently - A fair understanding of the non-Kids segment of US audience and their preference - Basic understanding of new media, IPTV, Smart TV and mobile apps - Easily trainable with good grasping power and ability to scale up right after training - Ability to work on high volume tasks with tight deadlines, self-motivated and proactive - Result oriented and capable of multi-tasking - Someone, who is looking for a long time career relationship - Willingness to work on night shifts and weekends is a prerequisite. Perks and Benefits: Best in the Industry Important Links that you can look up are: http://futuretodayinc.com/ https://fawesome.tv/ https://happykids.tv/
Role & responsibilities As an AI Engineer , you will be at the forefront of building intelligent systems that power our video pipelinefrom content ingestion and encoding to automated quality checks and delivery at scale . Your work will shape how films, shows, and live content travel from partners across the world into the hands of our global audience. You will design and deploy AI-driven automation for: End-to-end video content encoding and ingestion . Seamless delivery integrations (Aspera, Media Shuttle, FTP, and more). Genre mapping and metadata automation to ensure discoverability. Video quality review systems powered by machine learning. Closed caption (CC) automation including multilingual generation. Audio-Video-CC mismatch detection to guarantee flawless playback. Every improvement you make will ripple across millions of users, elevating how they experience our platform. Preferred candidate profile Build AI models and automation pipelines for video encoding, ingestion, and quality assurance. Integrate with content delivery platforms (Aspera, Media Shuttle, FTP, etc.) for frictionless ingestion. Automate metadata classification and genre mapping to streamline content discoverability. Develop AI systems to generate, validate, and synchronize closed captions (including multilingual). Create intelligent tools for audio/video/CC alignment and mismatch detection. Partner with content, operations, and engineering teams to scale automation globally. Ensure systems are production-grade, reliable, and capable of handling thousands of titles monthly. What Youll Bring Strong background in AI/ML, computer vision, NLP, or multimedia systems . Proficiency in ML frameworks (TensorFlow, PyTorch) and programming languages (Python, C++/Java). Experience with video encoding workflows, file formats, and streaming standards such as FFmpeg, video codecs (H.264, H.265, AV1), packaging (HLS, DASH). Hands on experience on Automation & Data : Workflow orchestration and big data tools. Experience with QA & Content Integrity : Automated QC, perceptual video quality metrics (VMAF, SSIM). Knowledge of content delivery protocols (Aspera, Media Shuttle, FTP, S3, cloud transfers and more). Familiarity with large-scale distributed systems and cloud platforms (AWS, etc) A problem-solver’s mindset with the ability to design automation that scales globally. Bonus: experience in media tech, subtitle automation, or streaming pipelines. Collaboration Tools: Git, Jira, CI/CD pipelines. Why Join Us Impact at scale : Your innovations will power how millions worldwide discover, watch, and enjoy content. Innovation-first culture : Work on bleeding-edge AI applications at the intersection of media and technology. Global footprint : Collaborate with teams across continents, shaping the future of streaming. Ownership and growth : We believe in empowering engineers to build, own, and lead. Inspiration all around : Be part of a team where creativity meets engineering excellence.
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