23 Streaming Analytics Jobs

Job Responsibility: Content (Tamil & Malayalam Non-Film) Identify, scout, and onboard emerging and established artists in the non-film music space (Tamil & Malayalam) Conceptualize and commission original singles & albums. Collaborate with Composers, lyricists, Singers and Music producers to develop creative concepts. Manage end-to-end production: from song conceptualization, recording, Video Production and mixing/mastering to release. Coordinate with studios, music directors, video producers, and creative teams for timely project delivery. Ensure adherence to budgets, timelines, and quality standards. Work with marketing and digital teams to plan release strategies, PR campaigns, and artist...

As a Pre-Sales Solution Architect (Data & AI) at Google, your role will involve leading the technical discovery process to assess customer requirements and design scalable solutions utilizing a comprehensive suite of Data & AI services. You will work with services such as BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI/ML services like Gemini and Agent Builder. Key Responsibilities: - Architect and demonstrate solutions using generative AI, large language models (LLMs), AI agents, and agentic AI patterns to automate workflows, enhance decision-making, and create intelligent applications. - Develop and deliver compelling product demonstrations, proofs-of-concept (POCs)...

Job Description (Posting). Job TitleData and AI PreSales ArchitectAbout the RoleThe Data & AI Pre-Sales Solution Architect role is a highly specialized position that combines deep technical knowledge with strong client-facing communication skills. The primary objective is to drive sales by demonstrating how a company's data and AI products can solve a client's specific business problems.Responsibilities'Lead the technical discovery process, assess customer requirements, and design scalable solutions leveraging a comprehensive suite of Data & AI services, including BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI/ML services like Vertex AI, Gemini, and Agent Builder.Arc...

Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probabi...

Job Description The Sr Manufacturing Systems Engineer PI Data Historian is a technical leader responsible for lifecycle upgrades, maintenance, and optimization of PI Data Historian systems across Amgen's global manufacturing network. This role is part of a PI Center of Excellence (COE) at Amgen India (AIN), supporting manufacturing sites and enterprise PI infrastructure. The engineer will collaborate with the PI Platform Lead, site system owners and cross-functional teams to ensure reliable data collection, integration, and analytics for manufacturing operations, driving lifecycle upgrades, digital transformation and operational excellence. Key Responsibilities Lead lifecycle upgrades, migra...

Dear Jobseekers, We are now horing for Presales consultant fro Mumbai Location(WFO & F2F Interview) About the Role : Presales Consultant As a Senior Presales Consultant specializing in Databases and Cloud, you will play a pivotal role in bridging the gap between client technical needs and the organization's offerings. You will engage early in the sales cycle to design, demonstrate, and propose database and cloud-based solutions, influencing technical decisions and helping to drive revenue. You'll act both as a technical expert and trusted advisor to clients, working closely with internal teams (Sales, Engineering, Product, Delivery). Key Responsibilities Engage with sales teams and clients d...

Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probabi...

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and...

• Must have: Azure Databricks, Pysparks, SQL, Devops(CI/CD), Azure services(ADF, ADLS, Event Hub), Gen AI, Data modelling • Good to have: Agentic AI, Streaming Analytics

Role Overview: You are an experienced Azure Databricks + SQL Developer / Big Data Engineer responsible for designing, developing, and maintaining scalable data solutions on Azure. Your primary focus will be on building efficient ETL/ELT pipelines, optimizing SQL queries, and leveraging Databricks and other Azure services for advanced data processing, analytics, and data platform engineering. Your strong background in traditional SQL development and modern big data technologies on Azure will be crucial for this role. Key Responsibilities: - Develop, maintain, and optimize ETL/ELT pipelines using Azure Databricks (PySpark/Spark SQL). - Write and optimize complex SQL queries, stored procedures,...

You are looking for a Music Distribution & Publishing Manager position at Modern Digital, a fast-growing music distribution and artist management company in Punjab. As the Music Distribution & Publishing Manager, your role will involve leading digital music release operations, coordinating with global platforms like Spotify and Apple Music, managing publishing and royalty collection through agencies such as Songtrust, BMI, and IPRS. Key Responsibilities: - Distribute music to all major Digital Service Providers (DSPs) using distribution platforms. - Handle song metadata, ISRC codes, and copyright filings. - Manage publishing deals and collect global royalties. - Coordinate with artists for r...

As an experienced KDB+ Developer, you will be an integral part of the team, focusing on designing and developing high-performance KDB+/q solutions for market data storage and real-time analytics. Your responsibilities will include building and maintaining streaming analytics systems, optimizing existing KDB+ databases, and collaborating with various teams to effectively implement business requirements. Additionally, you will provide technical guidance, participate in system architecture discussions, and ensure the high availability and reliability of mission-critical data systems. Key Responsibilities: - Design and develop high-performance KDB+/q solutions for market data storage and real-ti...

Responsibilities : Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving s...

Responsibilities : Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. Additional Responsibilities: Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous in...

Job Description: We are seeking a highly motivated and experienced Senior Data Scientist with a proven track record of success in conducting in depth data analysis developing machine learning models and delivering actionable insights to drive business decisions The ideal candidate will have a deep understanding of statistics machine learning algorithms and data science best practices Key Responsibilities: Master s degree in Computer Science Statistics Mathematics or a related field 7 years of experience in data science and machine learning with a strong focus on model development and deployment Expert level knowledge of statistics including probability theory hypothesis testing and statistic...

Job Description: We are seeking a highly motivated and experienced Senior Data Scientist with a proven track record of success in conducting in depth data analysis developing machine learning models and delivering actionable insights to drive business decisions The ideal candidate will have a deep understanding of statistics machine learning algorithms and data science best practices Key Responsibilities: Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability Communicate data insights to stakeholders in a clear and concise manner using data visualization techniques and storytelling collaborate with data engineers software developers and bu...

As a Pre-Sales Solution Architect at Google specializing in Data & AI, your role will involve leading the technical discovery process to assess customer requirements and design scalable solutions using a suite of Data & AI services. This includes BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI/ML services like Vertex AI, Gemini, and Agent Builder. Key Responsibilities: - Architect and demonstrate solutions that leverage generative AI, large language models (LLMs), AI agents, and agentic AI patterns to automate workflows, enhance decision-making, and create intelligent applications. - Develop and deliver compelling product demonstrations, proofs-of-concept (POCs), and ...

You will be responsible for architecting and building the server and serverless backend infrastructures for an educational platform that provides personalized learning experiences. This involves designing scalable APIs, implementing complex business logic, and integrating with external systems such as gaming servers and educational content providers. Expertise in Azure serverless technologies and educational data management is essential for this role. Your key responsibilities will include: - Designing and implementing serverless APIs using Azure Functions and TypeScript - Deploying SSR-optimized web experiences using NextJS and TypeScript - Developing complex business logic for adaptive lea...

Join a team recognized for leadership, innovation, and diversity. You must have a Ph.D. or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field. Exposure to the Finance domain and use cases in a larger global enterprise setting is required. Additionally, you should have a minimum of 8 to 10 years of Data Science prototyping experience using machine learning techniques and algorithms such as k-means, k-NN, Naive Bayes, SVM, and Decision Trees, with proficiency in Python and/or R tool-stack. Moreover, a minimum of 8 to 10 years of Machine Learning experience of physical systems is expected. You should also possess a minimum of 4 to 6 years of experience wit...

STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are seeking a Senior AI Engineer / Data Engineer to join our engineering team and help build the future of AI-powered business solutions. In this role, you&aposll be developing intelligent systems that leverage advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your work will directly contribute to products that are reshaping how businesses operate-particularly in recruitment, data extraction, and intelligent decision-making. T...

We are seeking a Data Architect / Sr. Data and Pr. Data Architects to join our team. In this role, you will be involved in a combination of hands-on contribution, customer engagement, and technical team management. As a Data Architect, your responsibilities will include designing, architecting, deploying, and maintaining solutions on the MS Azure platform using various Cloud & Big Data Technologies. You will be managing the full life-cycle of Data Lake / Big Data solutions, starting from requirement gathering and analysis to platform selection, architecture design, and deployment. It will be your responsibility to implement scalable solutions on the Cloud and collaborate with a team of busin...

Lead the technical discovery process, assess customer requirements, and design scalable solutions leveraging a comprehensive suite of Data & AI services, including BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI/ML services like Vertex AI, Gemini, and Agent Builder. Architect and demonstrate solutions leveraging generative AI, large language models (LLMs), AI agents, and agentic AI patterns to automate workflows, enhance decision-making, and create intelligent applications. Develop and deliver compelling product demonstrations, proofs-of-concept (POCs), and technical workshops that showcase the value and capabilities of Google Cloud. Strong understanding of data wareh...

Job Description: We are seeking a highly motivated and experienced Senior Data Scientist with a proven track record of success in conducting in depth data analysis developing machine learning models and delivering actionable insights to drive business decisions The ideal candidate will have a deep understanding of statistics machine learning algorithms and data science best practices Key Responsibilities: Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability Communicate data insights to stakeholders in a clear and concise manner using data visualization techniques and storytelling collaborate with data engineers software developers and bu...