About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. This is full-time role. About the role: This is a full-time position responsible for leading, designing, building, and maintaining the infrastructure required for data integration, storage, processing, and analytics (BI, visualization and Advanced Analytics) using Microsoft Azure in the Media domain. We are seeking a Senior Data Engineer with hands-on Python, and Pyspark experience and proven abilities to support software development activities in an Agile software development lifecycle. We are seeking a well-rounded architect for a cloud based big data application using a variety of technologies. The ideal candidate will possess strong technical, analytical, and interpersonal skills. In addition, the candidate will collaborate with developers on the team to achieve architecture and design objectives as agreed with stakeholders. Qualification Experience Must have a full-time Bachelors degree in Computer Science or similar from a top tier school. 7+ years of experience with Azure DevOps, Azure Cloud Platform, or other hyperscalers. At least 7 years of experience as a data engineer with strong expertise in Azure, working on generation of big datasets using different data sources, in the Media industry. Proven experience delivering projects and products for Data and Analytics as a data engineer. Required skills/Competencies Hands-on 7 yrs experience Python and Pyspark, Jupyter Notebooks, Python. Familiarity with Databricks. Azure Databricks is a plus. Familiarity with data cleansing, transformation, and validation. Proven architecture skills on Big Data projects. Hands-on experience with a code versioning tool such as GitHub, Bitbucket, etc. Hands-on experience building pipelines in GitHub (or Azure Devops, Github, Jenkins, etc.) Hands-on 3yrs experience with Spark. Strong written and verbal communication skills. Self-motivated and ability to work well in a team. Responsibilities Meet with stakeholders to understand the big picture and asks. Recommend architecture aligned with the goals and objectives of the product/organization. Recommend standard ETL design patterns and best practice. Participate in the detail design and architectural discussions as well as customer requirements sessions to support the implementation of code and procedures for our big data product. Design and develop proof of concept/prototype to demonstrate architecture feasibility. Collaborate with developers on the team to meet product deliverables. Must have familiarity with data science algorithms/tech stack. Any one of the languages: SAS, SPSS code or R-code. Work independently and collaboratively on a multi-disciplined project team in an Agile development environment. Ability to identify and solve for code/design optimization. Learn and integrate with a variety of systems, APIs, and platforms. Interact with a multi-disciplined team to clarify, analyze, and assess requirements. Be actively involved in the design, development, and testing activities in big data applications.

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. This is a full-time role. Key Responsibilities Act as the primary technical liaison for customers, ensuring successful integration an implementation of the ArcSpan AMS Platform and audience tools suite. Lead technical onboarding and training for new customers, providing best practices for data ingestion, activation, and audience monetization. Partner with Customer Success teams to troubleshoot and resolve customer issues, ensuring a smooth post-sales experience. Collaborate with product and engineering teams to translate customer needs into actionable product improvements and feature requests. Work closely with external AdTech and MarTech partners including ad servers, SSPs, DSPs, DMPs, CDPs, clean rooms and other custom data and identity partners to support seamless data activation and audience targeting. Develop and document integration best practices, implementation guides, and technical playbooks for internal and external stakeholders. Stay up to date with industry trends in data privacy, identity resolution, AI/LLM solutions, and audience monetization to advise customers on best-in-class solutions. Required Skills and Qualifications 3+ years of experience in digital media, AdTech, or MarTech, with a strong focus on customer-facing technical roles. Hands-on experience integrating with advertising platforms such as Google Ad Manager, FreeWheel, The Trade Desk, Xandr, LiveRamp, or similar. Strong understanding of programmatic advertising, header bidding, data onboarding and audience segmentation. Technical expertise in APIs, SDKs, cloud-based data processing, and identity resolution. Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Ability to troubleshoot and diagnose technical issues related to integrations and data flows. Self-starter with a problem-solving mindset and a passion for helping customers succeed. Familiarity with Python, or SQL for troubleshooting and data analysis. JavaScript is a must have. Bonus Qualifications (Nice to have) Experience in Ad Operations or Revenue Operations at a publisher. Prior experience at a SaaS company or technology platform supporting enterprise customers Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. This is a Full-time Remote (work from home) contract position. About the Role A Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires creativity and extensive experience in data analysis, statistical modeling, machine learning, and data visualization. Role and Responsibilities Drive the development and implementation of cutting-edge data-driven solutions for consumer intelligence Partner with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to translate business needs into actionable AI solutions. Analyze business requirements and identify strategic opportunities for AI-driven improvements in processes, cost reduction, and revenue growth. Design and deploy sophisticated statistical models, machine learning algorithms, and predictive analytics models to address complex business problems. Effectively communicate complex technical insights and recommendations to non-technical stakeholders, ensuring clarity and understanding. Stay at the forefront of data science, machine learning, and AI advancements, and proactively integrate new technologies and techniques into solutions. Architect, develop, implement, and manage robust end-to-end machine learning pipelines, including model building, deployment, maintenance, and data quality assurance. Required Skills and Qualifications Bachelors, Masters, or advanced training in applied mathematics, engineering, computer science, or a similar related field. 4+ years experience in Data Scientist or Machine learning Strong programming skills in languages such as Python Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow Experience with Azure Cloud Services Hands-on experience using Relational Databases, such as Oracle, SQL Server, MySQL Familiarity with data cleansing, transformation, and validation. Experience with DevOps CI/CD tools and automation processes Ability to work independently and manage multiple projects simultaneously. Strong problem-solving skills and attention to detail. Excellent communication skills both written and verbal. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. This is a full-time role. About the role: We are looking for a Middleware Engineer with hands-on Java Python experience and proven analytical and problem-solving skills. The ideal candidate will be responsible for the configuration, deployment, and management of middleware systems to support enterprise applications. This role involves working closely with development, operations and infrastructure teams to ensure the seamless integration of applications and systems while optimizing performance and reliability. Roles and Responsibilities: Install, configure and maintain middleware technologies (experience with any of these: Websphere, Weblogic, Tomcat, JBoss, Kafka, RabbitMQ or similar). Ensure high availability, scalability and reliability of middleware systems. Design and implement solutions for system and application integration. Automate routine tasks, processes, legacy data fusion. Optimize middleware performance and recommend improvements. Design and development of middleware components. Design and implement API necessary for the integration and or data consumption. Work independently and collaboratively on a multi-disciplined project team in an Agile development environment. Be actively involved in the design, development and testing activities for Big data product. Provide feedback to development teams on code/architecture optimization. Required Skills and Qualifications: Hands-on experience developing Java, Spring, Python. Hands-on experience with the Spring Tool Suite to include Spring Boot, Spring Boot Oauth, Spring Security, Spring Data JPA, and Spring Batch Understanding Relational Databases, such as Oracle, SQL Server, MySQL, Postgres or similar. Fluency in Java/J2EE, JSP, Web Services. Must have experience with JAVA 8 or higher. Experience with JMS, Kafka, IBM MQ or similar. Experience using software project tracking tools such as Jira. Familiarity with Azure services. Proven experience with CI/CD. Proven experience with Jenkins, Ansible, Docker, Kubernetes. Proven experience with version control (Git hub, Bitbucket). Familiarity with Linux OS/concepts Strong written and verbal communication skills. Self-motivated and ability to work well in a team. Education Bachelor of Science degree from an accredited university Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

You will be involved with various data engineering aspects - data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will possess strong technical and interpersonal skills, along with certain ML skills. In addition, the candidate will collaborate across multi-functional teams to achieve product milestones as agreed with stakeholders. Roles and Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality and ensuring it via data cleaning Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Finding available datasets that could be used for training Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Work independently and collaboratively on a multi-disciplined project team in an Agile development environment. Be actively involved in the design, development and testing activities for Big data product. Provide feedback to development teams on code/architecture optimization. Required Skills and Experience: Hands-on experience developing Python, PySpark Experience with Spark is preferred Possess a strong foundation in statistics and utilize statistical methods to analyze data and derive meaningful insights Familiarity with Azure Databricks or similar Proficiency with a deep learning frameworks such as TensorFlow or PyTorch or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in visualizing and manipulating big datasets. Ability to select hardware to run an ML model with the required latency Familiarity with Azure services Proven experience with CI/CD Proven experience with version control ( Github, Bitbucket). Familiarity with Linux OS/concepts Strong written and verbal communication skills Self-motivated and ability to work well in a team Education Bachelor of Science degree from an accredited university