Fusemachines

Role Description This is a full-time, high-impact position for a Senior Data Engineer with expertise in Databricks, dbt, and Apache Airflow to support a critical CRM data architecture migration for a key client in the Life Sciences industry. - Join an urgent initiative to backfill key engineering capabilities and maintain momentum during an ongoing CRM system transition. - Migrate enterprise customer data from Veeva CRM to Salesforce Life Sciences Cloud, integrated with an underlying AWS S3 cloud environment and Databricks data warehouse. - Build out, configure, and redirect data ingestion pipelines out of Life Sciences Cloud into the data warehouse. - Implement dbt models and Airflow orchestrations to ensure complete data accuracy. Candidates must be able to operate strictly on US East Coast business hours (location is flexible across North America, LATAM, or remote with full Eastern Time overlap). Qualifications - 5+ years of hands-on data engineering experience with deep expertise in AWS, Databricks, dbt, and Apache Airflow. - Strong programming proficiency in Python/PySpark and Advanced SQL (complex joins, analytical window functions). - Hands-on expertise in Databricks platform architecture, Lakehouse implementation, Delta Lake, Unity Catalog, and cluster performance tuning. - Proven track record of architecting and executing migrations. - Demonstrated experience scaling platform performance. - Proven experience building scalable transformations pipelines using dbt for data transformation, testing, and documentation. - Solid background orchestrating complex workflow DAGs with Apache Airflow. - Experience working with AWS cloud infrastructure, specifically AWS S3 as an underlying data lake storage layer. - Hands-on experience developing integrations and data ingestion pipelines for CRM platforms, specifically Salesforce, Salesforce Life Sciences Cloud, and/or Veeva CRM. - Understanding of data structures, customer master data, and analytics workflows within the Life Sciences. - Deep understanding of SDLC/Agile and DevOps for CI/CD and artifact management. - Knowledge of AWS and Databricks security best practices and compliance standards. - Certifications Preferred: Databricks Certified Data Engineer Associate/Professional, Databricks Spark Developer, and major cloud certifications in AWS. Requirements - Ability to maintain 100% full working time overlap with US East Coast business hours (ET). - Flexible location (US, Canada, LATAM, or remote ET). Responsibilities - Architect, build, and deploy data integration pipelines connecting Salesforce Life Sciences Cloud to the client’s Databricks warehouse environment. - Execute pipeline modifications to transition legacy data feeds from Veeva CRM to Salesforce Life Sciences Cloud, updating warehouse models accordingly. - Write clean, modular dbt transformation models and organize end-to-end DAG execution using Apache Airflow. - Manage Delta tables and optimize Databricks clusters and AWS S3 storage for high performance and cost efficiency. - Implement data quality testing, schemas, and verification rules in dbt and Python to guarantee accurate data delivery. - Build and enforce proactive monitoring frameworks. - Work closely with project leads, solution architects, and technical stakeholders during US East Coast hours to ensure rapid iteration and goal completion. Equal Opportunity Employer Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Role Description We are seeking a Senior Software Engineer to build and operate high-performance backend services using Java. This role is ideal for an experienced backend engineer who understands distributed systems, testing, observability, and production reliability, with enough machine learning knowledge to integrate applications with models and feature stores. You will work on systems with demanding availability, latency, throughput, and service-level requirements. You will collaborate with software, machine learning, data, infrastructure, and product teams to deliver reliable production solutions. This is primarily a software engineering role. Deep machine learning research experience is not required. Responsibilities - Design, build, test, and maintain scalable backend services using Java. - Develop APIs, microservices, and event-driven components for high-volume production systems. - Apply established Java architecture patterns, coding standards, and engineering best practices. - Integrate backend applications with machine learning models, inference endpoints, and feature stores. - Design reliable model-calling workflows with appropriate timeouts, retries, validation, and fallback behavior. - Build highly available, low-latency services that meet defined SLAs and service-level objectives. - Monitor and optimize latency, throughput, availability, resource utilization, and error rates. - Implement resilience patterns such as caching, circuit breakers, rate limiting, and graceful degradation. - Develop unit, integration, contract, performance, and end-to-end tests. - Implement logging, metrics, dashboards, distributed tracing, and actionable alerts. - Use platforms such as Datadog or similar tools to monitor systems and investigate production issues. - Participate in incident response, root-cause analysis, and reliability improvements. - Use AI-assisted coding tools responsibly to support development, testing, documentation, and debugging. - Participate in architecture discussions, technical design reviews, and code reviews. - Communicate technical decisions, risks, dependencies, and tradeoffs clearly to technical and nontechnical stakeholders. - Promote strong software engineering practices across the team. Qualifications - Strong professional experience developing production applications with Java. - Experience designing backend services, APIs, microservices, or distributed systems. - Strong understanding of Java design patterns, object-oriented programming, and software architecture. - Experience building systems with demanding availability, scalability, throughput, or latency requirements. - Experience with automated testing and continuous integration and delivery practices. - Experience with relational or non-relational databases. - Experience implementing production logging, monitoring, metrics, tracing, and alerting. - Familiarity with Datadog, OpenTelemetry, Grafana, Prometheus, New Relic, or comparable platforms. - Understanding of SLAs, service-level indicators, service-level objectives, and production reliability. - Familiarity with cloud platforms, containers, and modern deployment environments. - Basic understanding of machine learning concepts and how applications interact with deployed models. - Strong troubleshooting, problem-solving, and production support skills. - Excellent written and verbal communication skills. Preferred Qualifications - Experience integrating applications with machine learning inference services or feature stores. - Experience with low-latency or real-time decisioning systems. - Experience with Kafka, message queues, streaming platforms, or event-driven architectures. - Experience with Kubernetes, Redis, distributed caching, or performance testing. - Familiarity with model versioning, feature freshness, prediction logging, and controlled model rollouts. - Experience in advertising technology, digital marketplaces, auction systems, recommendation systems, or personalization. - Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or Cursor. Company Description 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.

Role Description You will build and validate the models that define, expand, and score the audiences advertisers activate across TV, CTV, digital, social, and programmatic. Working across survey, purchase, and cross-platform media data, you turn messy multi-source signals into accurate, explainable, privacy-safe segments, and you help shape the product itself with ideas for new audience capabilities. You will partner closely with ML Engineers and the US product and analytics team. What you'll do - Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data. - Develop propensity and lookalike models that scale small seed audiences to addressable populations. - Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias. - Ideate on making the product better: propose new audiences, features, and methods, and prioritize them with the US team. - Own audience measurement analytics: reach, overlap, index strength, and incremental lift (A/B, matched control, causal inference). - Partner with ML Engineering to move models into reproducible, monitored production, under privacy-by-design principles. Qualifications - ~5+ years in applied data science, with models that reached production or client delivery. - Sound statistical modeling (survey stats, causal inference, experimental design, propensity/uplift). - Working knowledge of Databricks; comfortable in a Spark / Snowflake environment. - Strong Python (pandas, scikit-learn, statsmodels) and SQL against large databases. - Degree in a quantitative field (Statistics, Data Science, Economics, CS, Math, or similar). Requirements - Media / advertising background (strong plus). - Audience/identity or ad tech exposure (DSP/SSP, DMP/CDP, clean rooms, identity graphs). - Familiarity with privacy-preserving methods and GDPR/CCPA in data collaboration. Company Description Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Role Description Turn audience science into scalable production systems that help advertisers decide whom to reach. Working with terabyte-scale data, you'll build, score, refresh, and deliver audience segments to activation endpoints across DSPs, clean rooms, CTV, social, and programmatic partners. You bridge data science and platform engineering—converting prototypes into production-grade services and owning the pipelines, MLOps, and integrations behind them. As a senior team member, you'll set engineering standards, lead end-to-end system design, and mentor other engineers. Stack: Databricks, Spark, Snowflake, and Azure. Responsibilities - Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services. - Build and operate large-scale data/feature pipelines on Databricks + Spark, reading from and writing to Snowflake, producing versioned audience segments on schedule. - Own the full model lifecycle: MLflow tracking/registry, CI/CD (Azure DevOps or GitHub Actions), automated retraining, drift monitoring, and rollback. - Engineer the activation layer, governed delivery of segments and scores into DSPs/SSPs, DMP/CDP, clean rooms, and CTV/social/programmatic partners, including identity resolution and onboarding. - Ensure scalability, latency, cost-efficiency, and reproducibility across Azure (ADLS, Azure ML, AKS); support batch and near-real-time scoring. - Enforce privacy-by-design: data minimization, access controls, encryption, and clean-room-compatible patterns. Qualifications - 8–9 years hands-on ML engineering, shipping and operating production systems at scale. - Prior experience in media / advertising / audience activation. - Databricks (incl. MLflow and Spark), Snowflake, and production Azure (ADLS, Azure ML, Azure DevOps, AKS). - Expert Python and ML ecosystem; strong SQL at scale. - Strong applied statistics (sampling/weighting, forecasting, causal inference, or experimental design). - CS/engineering degree with strong quantitative foundations. Requirements - Agile practices, Docker/Kubernetes, advanced Databricks/Snowflake (Structured Streaming, tuning, Model Serving/Feature Store), orchestration (Databricks Workflows, Airflow, Dagster). - Ad tech/identity experience: DSP/SSP, DMP/CDP, clean rooms (LiveRamp, Snowflake), identity graphs, onboarding, delivery APIs. - AWS/GCP a plus. About you - Pragmatic and deeply hands-on about production trade-offs; a clear communicator with non-expert stakeholders; a proactive team player who mentors others. - Comfortable working the second half of the day to overlap with a US-based product team. - Fluent in an English-language business environment. Company Description Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Role Description This role is a remote contractual role. Our work time will be from 1-10 PM IST. - Administer and maintain Red Hat Enterprise Linux (RHEL) and Red Hat OpenShift Container Platform (OCP) across the cluster nodes. - Apply OS and platform patches, security updates, and OpenShift version upgrades in a controlled, low-downtime manner. - Manage node lifecycle operations (cordon/drain, reboot, replacement, scaling) within OpenShift. - Maintain and troubleshoot underlying Dell server hardware (PowerEdge or similar), including firmware updates (iDRAC), RAID/storage controllers, and network interfaces. - Coordinate with the colocation facility in Nebraska for remote hands support, power, cooling, and physical access needs. - Monitor hardware health (disk, memory, power supplies) and manage vendor support cases/warranty claims with Dell and IBM. - Manage OpenShift cluster components: control plane, etcd, networking (SDN/OVN), storage classes, and ingress/routing. - Administer container registries, projects/namespaces, RBAC, and resource quotas. - Monitor cluster health using OpenShift-native tooling (cluster monitoring stack, Prometheus/Grafana) and respond to alerts. - Support the IBM Watson deployment (IBM Cloud Pak for Data / "Fusion" stack) running on top of OpenShift, including operator health, storage-backed services, and application pods. - Work with IBM support and documentation to troubleshoot Watson/Fusion-specific issues, apply IBM-provided patches/fix packs, and manage license entitlements. - Coordinate planned maintenance windows and upgrades for the Watson/Fusion layer with minimal service disruption. - Manage persistent storage backing the cluster (e.g., ODF/Ceph, NFS, or SAN-attached storage, depending on the environment). - Implement and test backup/disaster recovery procedures for cluster configuration, etcd, and application data. - Maintain network configuration for the private data center environment, including VLANs, firewalls, and load balancers as applicable. - Apply security hardening in line with Red Hat and IBM best practices; manage certificates, secrets, and access controls. - Maintain audit logs and support compliance/security review processes as required by the organization. - Set up and maintain monitoring/alerting for cluster and application health. - Diagnose and resolve incidents, performing root cause analysis and driving remediation. - Document cluster architecture, runbooks, and standard operating procedures (this is especially important given the current environment is not well-documented internally). Qualifications - 3+ years of hands-on experience administering Red Hat Enterprise Linux (RHEL) in production environments. - Solid working experience with Red Hat OpenShift Container Platform administration (cluster operations, oc/kubectl, operators, RBAC, networking). - Experience with bare-metal server hardware administration (Dell PowerEdge preferred), including iDRAC, firmware, and RAID management. - Familiarity with container and Kubernetes fundamentals (pods, deployments, persistent volumes, namespaces). - Experience working in or supporting a private/on-premises data center or colocation environment (as opposed to purely public cloud). - Understanding of enterprise storage concepts (SAN/NAS, Ceph/ODF, or similar) as used in OpenShift persistent storage. - Comfort with Linux networking (firewalls, VLANs, DNS, load balancing/ingress). - Strong troubleshooting and incident response skills, with the ability to work independently in an environment with limited existing documentation. - Good written communication skills for documentation and vendor coordination (Dell, IBM, Red Hat support). Requirements - Direct experience with IBM Cloud Pak for Data, IBM Watson, or IBM Fusion/Fusion HCI appliances. - Red Hat Certified Specialist in OpenShift Administration (RHCSA/RHCE + OpenShift certs). - Experience with Ansible for configuration management and automation. - Familiarity with IBM Storage Fusion / IBM Spectrum or similar hyper-converged infrastructure. - Experience managing vendor support relationships (Dell ProSupport, IBM Support, Red Hat subscriptions). - Prior experience in a regulated or high-availability environment where uptime and data locality (private, non-cloud hosting) are critical. Benefits - 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.

Role Description We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics). Qualifications - Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science - At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization - 5+ years of real-world data engineering development experience in Snowflake - Proficient in the application of DBT - Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams - Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse - Experience with data modeling and schema design - Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights - Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams - Demonstrated leadership experience with the ability to mentor and develop junior analysts - Experience with data governance, data quality, and data integrity efforts - Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis - Strong project management skills with the ability to manage multiple projects and priorities simultaneously Requirements - Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements - Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness - Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships, and insights - Data Visualization: Design, build and maintain visual representations of data through charts, graphs, and dashboards - Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner - Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data - Data Mining: Identifying patterns, trends, and correlations in large datasets - Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data - Identifying and implementing best practices for data visualization, reporting, and analysis - Collaborating with Teams: Working closely with cross-functional teams to understand their requirements and provide analytical support - Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools Benefits - Remote, Full-time position Company Description Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI.

Role Description As a Jr. Power BI Analyst, you will play a pivotal role in leveraging data to drive strategic decisions and enhance operational efficiency. You will be responsible for designing, developing, and maintaining PowerBI dashboards and reports that provide valuable insights to various stakeholders across the organization. Your work will directly contribute to optimizing business processes and improving customer experiences. This is a remote role on a contract basis. Qualifications - Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science. - At least 2 years of experience in data analytics, with a focus on business intelligence and data visualization. Requirements - Proven experience as a PowerBI analyst or similar role, with a strong portfolio showcasing impactful dashboards and reports. - Proficiency in SQL for data extraction, transformation, and manipulation. - Solid understanding of data modeling concepts and experience in designing efficient data models. - Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Experience with other BI tools (e.g., Tableau) is a plus. Roles and Responsibilities - Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights using SQL and PowerBI. - Develop visually appealing and interactive dashboards and reports to effectively communicate key performance indicators (KPIs), trends, and anomalies. - Optimize data models and queries to ensure efficient performance and scalability of PowerBI solutions. - Implement best practices for data visualization, ensuring clarity, consistency, and usability for end users. - Work closely with data engineers to integrate data from various sources and maintain data accuracy and integrity. - Provide training and support to end users to maximize adoption and utilization of PowerBI tools. - Stay updated on industry trends and advancements in data visualization and analytics technologies, recommending improvements and innovations as appropriate. - Collaborate with IT teams to ensure compliance with data security and governance policies. Benefits

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a highly experienced Senior Cloud and DevOps Engineer to lead our infrastructure automation, software configuration, and cloud deployments. In this role, you will be the primary expert driving our IBM Cloud architecture and integrating IBM watsonx solutions into our development lifecycle. - Lead the end-to-end configuration, installation, and management of DevOps software and toolchains. - Architect, provision, and optimize secure cloud configurations specifically within IBM Cloud environments. - Deploy, integrate, and maintain IBM watsonx platforms (such as watsonx.ai or watsonx.data) to support advanced data and AI initiatives. - Design and maintain robust CI/CD pipelines to automate software delivery and infrastructure updates. - Implement Infrastructure as Code (IaC) using tools like Terraform or Ansible to ensure scalable and repeatable cloud environments. - Manage containerized applications and orchestration using Kubernetes or Red Hat OpenShift. - Monitor system health, troubleshoot complex deployment issues, and ensure adherence to security and compliance standards. Qualifications - 6+ years of demonstrated experience in Cloud Computing and DevOps engineering. - 3+ years of recent, hands-on experience specifically with IBM Cloud architecture and IBM watsonx deployments. - Strong expertise in configuring and installing modern DevOps tools (e.g., Jenkins, GitLab CI, ArgoCD). - Deep knowledge of containerization technologies (Docker, Kubernetes, OpenShift). - Proficiency in scripting languages for automation (Python, Bash, or similar). - Strong problem-solving skills with a proactive approach to system reliability and performance optimization. Requirements - This help with the cloud infrastructure and deployment and watsonx configuration. Company Description Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Role Description We are looking for Technical Writers to author detailed, complex technical information regarding operation characteristics, diagnostics, and repair procedures. Writing at this level requires extensive investigation and may include hands-on product familiarity. The Technical Writer will work with engineering teams, but may also be required to develop information from other product teams. Serves as the contact with other functional areas, including product safety, legal, compliance, and engineering to ensure functional standards are incorporated and utilized appropriately. As the Technical Writer, you will have the following key attributes for the role: - Excellent writing, editing, and proofreading skills. - Demonstrated track record of creating process diagrams, tutorials, procedures, and knowledge-based content. - Self-starter with the ability to work independently and manage diverse priorities well. - Experience creating diagrams and infographics to communicate workflow processes and abstract topics more clearly. - Ability to analyze and synthesize complex processes. - A proactive and open-minded attitude for resolving problems and delivering results. - Experience in creating documentation for audiences with different levels of technical skill. - 2-5 years of experience working as a technical writer or in a related role. - Experience working in an agile software development environment. - Ability to recognize their own knowledge or experience limitations and reach out for guidance. - Great communication skills with the ability to articulate thoughts/ideas clearly, collaborate with team members in various roles. - Confident in leading meetings and presenting to teams. - Ability to understand complex systems, prioritize tasks, and escalate issues if needed. - Experience with source control systems and workflow tools: Git, JIRA/Confluence. - Understands foundational IT and cloud technologies. - Prior experience working within IT Development, SaaS, or web-based technology environment. Qualifications - 2-5 years of experience working as a technical writer or in a related role. - Experience working in an agile software development environment. - Experience with source control systems and workflow tools: Git, JIRA/Confluence. - Prior experience working within IT Development, SaaS, or web-based technology environment. Requirements - Excellent writing, editing, and proofreading skills. - Demonstrated track record of creating process diagrams, tutorials, procedures, and knowledge-based content. - Self-starter with the ability to work independently and manage diverse priorities well. - Experience creating diagrams and infographics to communicate workflow processes and abstract topics more clearly. - Ability to analyze and synthesize complex processes. - A proactive and open-minded attitude for resolving problems and delivering results. - Experience in creating documentation for audiences with different levels of technical skill. - Ability to recognize their own knowledge or experience limitations and reach out for guidance. - Great communication skills with the ability to articulate thoughts/ideas clearly, collaborate with team members in various roles. - Confident in leading meetings and presenting to teams. - Ability to understand complex systems, prioritize tasks, and escalate issues if needed. - Understands foundational IT and cloud technologies. Benefits - This is a remote full-time role where you'll be working as an independent contractor. Company Description Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Role Description We are looking for Technical Writers to author detailed, complex technical information regarding operation characteristics, diagnostics, and repair procedures. Writing at this level requires extensive investigation and may include hands-on product familiarity. The Technical writer will work with engineering teams, but may also be required to develop information from other product teams. Serves as the contact with other functional areas, including product safety, legal, compliance, and engineering to ensure functional standards are incorporated and utilized appropriately. As the Technical Writer, you will have the following key attributes for the role: - Excellent writing, editing, and proofreading skills. - Demonstrated track record of creating process diagrams, tutorials, procedures, and knowledge-based content. - Self-starter with the ability to work independently and manage diverse priorities well. - Experience creating diagrams and infographics to communicate workflow processes and abstract topics more clearly. - Ability to analyze and synthesize complex processes. - A proactive and open-minded attitude for resolving problems and delivering results. - Experience in creating documentation for audiences with different levels of technical skill. - 2-5 years of experience working as a technical writer or in a related role. - Experience working in an agile software development environment. - Ability to recognize their own knowledge or experience limitations and reach out for guidance. - Great communication skills with the ability to articulate thoughts/ideas clearly, collaborate with team members in various roles. - Confident in leading meetings and presenting to teams. - Ability to understand complex systems, prioritize tasks, and escalate issues if needed. - Experience with source control systems and workflow tools: Git, JIRA/Confluence. - Understands foundational IT and cloud technologies. - Prior experience working within IT Development, SaaS, or web-based technology environment. Qualifications - 2-5 years of experience working as a technical writer or in a related role. - Experience working in an agile software development environment. Requirements - Excellent writing, editing, and proofreading skills. - Demonstrated track record of creating process diagrams, tutorials, procedures, and knowledge-based content. - Self-starter with the ability to work independently and manage diverse priorities well. - Experience creating diagrams and infographics to communicate workflow processes and abstract topics more clearly. - Ability to analyze and synthesize complex processes. - A proactive and open-minded attitude for resolving problems and delivering results. - Experience in creating documentation for audiences with different levels of technical skill. - Ability to recognize their own knowledge or experience limitations and reach out for guidance. - Great communication skills with the ability to articulate thoughts/ideas clearly, collaborate with team members in various roles. - Confident in leading meetings and presenting to teams. - Ability to understand complex systems, prioritize tasks, and escalate issues if needed. - Experience with source control systems and workflow tools: Git, JIRA/Confluence. - Understands foundational IT and cloud technologies. - Prior experience working within IT Development, SaaS, or web-based technology environment. Company Description Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.