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Experience Level
Senior
Qualifications
Proven experience in a technical sales role, preferably in the cybersecurity or data protection domain. Strong understanding of data management, AI security solutions, and IT infrastructure. Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Demonstrated ability to work collaboratively in a fast-paced environment, managing multiple projects simultaneously. Bachelor's degree in Computer Science, Information Technology, or a related field is preferred.
About the job
Join Veeam Software as a Senior Sales Engineer specializing in Data & AI Security. In this pivotal role, you will be responsible for driving sales success through your technical expertise in our cutting-edge data security solutions. You will work closely with sales teams and customers to ensure they understand the value of our products, helping them to secure their data environments effectively.
About Veeam Software
Veeam Software is a leading provider of backup solutions that deliver Cloud Data Management. Our innovative products empower organizations to manage, protect, and recover their data seamlessly across multi-cloud environments. Join us and be part of a talented team that is dedicated to providing exceptional value to our clients.
tsmg seeks AI/ML Data Contributors based in Philadelphia, PA to help improve machine learning models across multiple projects. This position involves hands-on work with data labeling, reviewing content, and participating in user-based testing. What you will do Label data to support model training and evaluation Assess and review content for accuracy and rele…
tsmg seeks AI/ML Data Contributors to assist with a variety of projects based in Philadelphia, PA and throughout the United States. This role supports the development of machine learning models through practical tasks such as data labeling, content review, and user testing. Role overview Assignments differ in scope and format. Some projects are completed remotely, while others require in-person participation, including device or VR testing. Contributors may take part in several projects over time, providing exposure to different areas of artificial intelligence and machine learning. What you will do Work on flexible, project-based assignments, with both remote and on-site opportunities Label data, evaluate content, and participate in user-based testing as needed Gain experience in the AI/ML field by contributing to a range of tasks
Role overview tsmg is looking for AI/ML Data Contributors based in Philadelphia, PA to assist with a variety of machine learning initiatives. This position centers on strengthening AI models through practical tasks such as data labeling, content review, and user testing. What you will do Label data and review content to help improve the accuracy of machine learning systems Take part in user testing, which may involve evaluating devices or virtual reality experiences Work on a range of projects, with the flexibility to contribute remotely or on-site depending on project requirements Work structure Assignments vary in both scope and duration. This role is well-suited for those interested in flexible, task-based work and the opportunity to participate in multiple projects over time.
Role overview This flexible contract position with tsmg centers on supporting machine learning projects as an AI/ML Data Contributor in Philadelphia, PA. The work involves hands-on tasks that help improve the accuracy and performance of AI systems. What you will do Label data to train and refine machine learning models Evaluate content for quality and relevance Participate in user testing to assess AI outputs Project details Assignments are organized by task and may require a mix of remote and on-site participation. Some projects include testing with physical devices or in virtual reality environments. Contributors can take part in multiple projects over time, depending on personal availability and interest.
Full-time|On-site|Atlanta, GA | Kansas City, MO | Philadelphia, PA
Reply is seeking an AI/ML Engineer with deep experience in AWS. This position is available in Atlanta, GA, Kansas City, MO, and Philadelphia, PA. The team partners with clients to apply artificial intelligence and machine learning, aiming to strengthen their technology capabilities. What you will do Design and develop machine learning models tailored to real business challenges Deploy scalable solutions using AWS services Collaborate with colleagues from various teams to deliver project outcomes Ensure data integrity is maintained throughout each project phase Requirements Solid understanding of AI and machine learning concepts Proven experience with AWS and deploying machine learning solutions in the cloud Ability to work collaboratively and adapt to shifting project needs
Join Veeam Software as a Senior Sales Engineer specializing in Data & AI Security. In this pivotal role, you will be responsible for driving sales success through your technical expertise in our cutting-edge data security solutions. You will work closely with sales teams and customers to ensure they understand the value of our products, helping them to secure their data environments effectively.
Full-time|Remote|Netherlands, Remote; Spain, Remote; United Kingdom, Remote; United States, Atlanta; United States, Boston; United States, Charlotte; United States, Chicago; United States, Cincinnati; United States, Miami; United States, Milwaukee; United States, Minneapolis; United States, Philadelphia; United States, Raleigh; United States, St. Louis; United States, Tampa
About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.
Full-time|On-site|Philadelphia, Pennsylvania, United States
Why Join NebiusNebius is at the forefront of cloud computing, empowering the global AI economy. We provide the essential tools and resources our clients need to tackle real-world challenges and revolutionize industries without incurring massive infrastructure costs or the necessity to establish extensive in-house AI/ML teams. Our team members work at the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and innovative leaders and engineers in the industry.Our Work EnvironmentHeadquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a worldwide presence with R&D hubs across Europe, North America, and Israel. Our diverse team of over 1,400 professionals includes more than 400 highly skilled engineers with profound knowledge in hardware and software engineering, complemented by a dedicated in-house AI R&D team.The RoleAs the Data Center Manager, you will be responsible for the complete reliability, safety, capacity, and performance of one of our flagship U.S. locations. You will lead a high-performing, multidisciplinary operations team and closely collaborate with Design, Build, Network, Security, Capacity Planning, and Data Center organizations to ensure world-class availability and cost efficiency.Your Responsibilities Include:Overseeing daily data center operations in a 24/7 mission-critical setting.Managing and mentoring a team of 15–20 Data Center Technicians.Supervising installation, troubleshooting, and field change orders.Ensuring timely execution of tasks in line with KPIs and operational goals.Monitoring infrastructure performance, leading troubleshooting, incident response, and root cause analysis.Owning incident management, including resolutions and post-incident reviews.Planning and executing capacity expansion (rack, block, and site growth).Maintaining physical security, access controls, and compliance with standards.Collaborating across functions with Engineering, Build, Site Selection, and Operations.Managing vendors and contractors to deliver high-quality, cost-effective solutions.Driving continuous improvement in processes, efficiency, and reliability.Supporting hiring and team scaling initiatives.
Hippocratic AI develops generative AI systems for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, deliver over 99.9% accuracy in clinical interactions. The team includes physicians, hospital leaders, AI researchers, and engineers from leading institutions and technology companies. Hippocratic AI has secured $404M in funding, including a recent $126M Series C round led by Avenir Growth, and is valued at $3.5B. Investors include CapitalG, General Catalyst, a16z, Kleiner Perkins, and others in healthcare and technology. Role overview The Integration Engineer role centers on connecting healthcare data systems to Hippocratic AI’s clinical AI platform. This position involves working with Electronic Health Records (EHRs), APIs, and analytics pipelines to operationalize AI models at scale. The engineer will address healthcare interoperability, system architecture, and data engineering challenges. What you will do Design, develop, and maintain healthcare data integrations using Python, HL7 v2, FHIR, REST APIs, and SQL. Collaborate with delivery leads, product managers, and customer engineers to create and implement integration solutions based on current interoperability standards. Coordinate with offshore engineers to deliver high-quality integrations on schedule. Establish reusable integration patterns to improve performance and reliability across the platform. Requirements Experience with Python-based data transformation and interface development. Knowledge of healthcare interoperability standards such as HL7 v2, FHIR, and RESTful APIs. Ability to work with cross-functional and offshore teams. This position is based in Philadelphia, PA.
Full-time|On-site|Philadelphia, Pennsylvania, United States
Why Join NebiusNebius is at the forefront of revolutionizing cloud computing to empower the global AI economy. Our innovative solutions equip clients with the necessary tools to tackle real-world problems and transform industries, all while minimizing infrastructure costs and the reliance on large in-house AI/ML teams. Join our talented workforce, collaborating with some of the most experienced and pioneering leaders and engineers in AI cloud infrastructure.Our Global PresenceWith our headquarters in Amsterdam and a listing on Nasdaq, Nebius boasts a worldwide presence with R&D hubs in Europe, North America, and Israel. Our diverse team of over 1,400 employees includes more than 400 highly skilled engineers, proficient in both hardware and software engineering, along with a specialized in-house AI R&D team.The RoleNebius is constructing next-generation AI infrastructure at scale, and we are seeking a Field Technical Lead to oversee the on-site execution of new data center deployments. This role involves leading technical teams and contractors to ensure the delivery of high-quality projects on schedule.Travel Requirements: On-site presence at data centers during critical deployment phases may be required.Your Responsibilities Will Include:Leading the on-site deployment of GPU-based compute clusters, storage solutions, and high-speed networking at data centers.Assisting Project Managers in planning, coordinating, and tracking project delivery activities.Organizing and supervising contractors, vendors, and internal technical teams to facilitate smooth execution of deployment workstreams.Proactively identifying, troubleshooting, and resolving technical and operational challenges during deployments.Maintaining precise project documentation, including deployment plans, risk assessments, issue logs, and acceptance reports.Ensuring transparent communication with all stakeholders through regular status updates and escalation management.
Full-time|On-site|Philadelphia PA (Center City HQ)
About the RoleAt Insomnia Cookies, our goal is to enhance the digital journey through tailored personalization, insightful predictions, and dynamic decision-making.We are seeking a Senior Machine Learning & Data Science Lead who thrives in a hands-on environment, engaging with models, data, and production systems while working in close collaboration with our product, engineering, and marketing teams. This role combines applied data science with practical machine learning engineering to design, develop, and enhance AI-driven functionalities across our digital platforms and operations.Sweet Position Perks:• Enjoy a 4-day work week (yes, we take every Friday off!)• Comprehensive benefits including medical, dental, vision, and pet insurance• 401K plan with employer contribution match• 3 weeks of paid vacation plus 2 paid personal wellness days• A relaxed, fun office culture where you can be yourself• Free cookies, branded merchandise, and more!What You’ll Do• Partner with teams to design and implement machine learning models for personalization, recommendations, targeting, and operational enhancements.• Create predictive and forecasting solutions utilizing first-party data to bolster marketing, store operations, and inventory management.• Work on integrating models into production environments, collaborating with engineers to ensure scalability, reliability, and maintainability.• Contribute to experimentation initiatives by designing and analyzing A/B tests to assess impact.• Oversee ongoing model monitoring and improvement, ensuring quality, fairness, and explainability are prioritized.• Engage with various business units to uncover new opportunities where data science and machine learning can enhance customer experiences or operational efficiencies.What You Bring• 5+ years of experience in applied machine learning, data science, or quantitative product roles.• Proficiency with recommendation systems, predictive modeling, clustering, and time series forecasting.• Hands-on experience deploying models in production using Python, AWS/GCP, and APIs.• Strong SQL skills and experience handling large datasets.• Familiarity with A/B testing and statistical analysis for experimental design.• Excellent communication skills, capable of conveying technical concepts to both technical and non-technical audiences.• Bonus: Experience in eCommerce, quick service restaurants, or real-time customer engagement systems.Why This Role Rocks• Engage in high-impact projects that directly affect customers and operations.• Be part of the foundational development of our AI and machine learning capabilities.• Collaborate across teams on initiatives that shape digital experiences.• Join a vibrant culture that embraces experimentation and innovation.
Company OverviewTerry Soot Management Group (TSMG), established in 2017 in Europe, is a leading company specializing in field data collection. We focus on gathering data in scenarios where automation falls short. Our services include feature counting, photography, videography, audio recording, and meticulous area scanning to provide essential details for informed decision-making. Our dedicated teams are positioned throughout Europe and North America, eagerly embracing new challenges.Project ObjectiveThe primary aim of this project is to capture high-quality images of streets, key points of interest, and public spaces. Our collection will utilize vehicles equipped with 360-degree cameras that document the surroundings, storing the data for subsequent use in improving one of the world’s most popular online map services.Data collectors will follow designated routes through public streets and areas, with an emphasis on commercial districts and historical landmarks. Due to potential adverse weather conditions, some areas may require multiple visits to ensure optimal image quality. The project is anticipated to last at least three months and will encompass various city and state regions.The ideal candidate is someone who enjoys driving, possesses a strong familiarity with the local area and traffic patterns, and demonstrates a high level of responsibility and reliability.Work Schedule: The project requires availability Monday to Friday, for 8 hours per day, totaling 40 hours per week. Overtime is available for those who wish to work additional hours.
Join Speechify as a Software Engineer specializing in Data Infrastructure and Acquisition. In this role, you will be at the forefront of building innovative solutions to enhance data management and acquisition processes. Collaborate with a talented team to design, implement, and optimize data pipelines and storage solutions, ensuring high performance and accessibility.
At CapTech, our Data Engineering consultants empower clients to construct and sustain sophisticated data systems that integrate data from diverse sources to facilitate informed decision-making. We specialize in developing pipelines and preparing data for utilization by data scientists, analysts, and other data systems. Our passion lies in problem-solving and delivering innovative solutions tailored to our clients' needs. As Cloud Data Engineers, we leverage the cloud infrastructure of our clients to provide immediate value and ensure scalability for future growth. We thrive in a collaborative environment, offering numerous opportunities to learn from and share insights with fellow developers, architects, and clients.Your Impact and Responsibilities:Serve as a trusted advisor to customers, offering best practices, methodologies, and technologies for implementing robust data engineering solutions.Design, implement, and maintain modern data pipelines that deliver optimal solutions using appropriate cloud technologies.Collaborate with product owners and business subject matter experts (SMEs) to analyze customer requirements and deliver sustainable engineered solutions.Provide technical leadership and collaborate across teams to ensure alignment of technical solutions with customer needs.Stay abreast of the latest cloud technologies, patterns, and methodologies; effectively communicate results and ideas to key stakeholders.
Join Artech Information Systems LLC as an ETL Analyst, where you will play a key role in transforming raw data into actionable insights. You will be responsible for designing, developing, and maintaining ETL processes that ensure high-quality data flows throughout our organization. If you thrive in a fast-paced environment and have a passion for data, we want to hear from you!
Full-time|On-site|Philadelphia, Pennsylvania, United States
Why Choose a Career at NebiusNebius is at the forefront of a transformative era in cloud computing, dedicated to supporting the global AI economy. We empower our clients with innovative tools and resources to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and eliminating the need for extensive in-house AI/ML teams. Our team operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and forward-thinking leaders and engineers in the industry.Our Work EnvironmentHeadquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a global presence with R&D hubs in Europe, North America, and Israel. Our workforce of over 1400 includes more than 400 highly skilled engineers with deep expertise in both hardware and software engineering, supported by an in-house AI R&D team.The RoleThe Data Center Technician Manager is responsible for leading hands-on technical teams tasked with cabling, hardware installations, and the daily operations of our data center. This position requires a balance of leadership, technical proficiency, and operational excellence in a 24/7 mission-critical setting.
The city of Philadelphia is seeking a talented Data Warehouse Developer (DWD) to join our enterprise data warehouse (EDW) team under the Office of Innovation & Technology. In this pivotal role, you will collaborate with business stakeholders, data architects, and management professionals to support the data integration and delivery needs of the Department of Behavioral Health and Intellectual Disability Services (DBHIDS). You will play a crucial role in understanding data definitions, collection methods, publication processes, and the technologies that enhance data utility for consumers.Your responsibilities will include:Developing comprehensive data warehousing solutions aligned with the department’s Data Governance Framework Strategic Plan.Designing, implementing, and monitoring data integration programs to collect data from various sources and load it into our Kalido EDW.Publishing data from the EDW into various formats for reporting and analytics needs.Collaborating closely with the business intelligence unit to enhance reporting capabilities using the Qliksense platform.Working with data quality analysts to identify and resolve data integrity issues.Assisting in data analysis related to data quality concerns.Ensuring optimal EDW performance in collaboration with database administrators.Documenting data lineage and transformation processes.Maintaining metadata management capabilities.Recommending process improvements for better data management.Analyzing reporting requirements to determine data availability.
Full-time|On-site|Philadelphia, Pennsylvania, United States
About Us:At Perpay, a certified B Corp and one of Philadelphia’s most influential growth-stage startups, our mission is to enhance the financial stability of everyday Americans. Over the past decade, we've achieved a strong product-market fit and an efficient operating model across various offerings, establishing Perpay as the top financial partner for individuals with subprime credit.With over 500,000 customers utilizing more than $1 billion in spending power, we are at a crucial turning point. As we scale our operations, launch new products, and increase our impact, we seek passionate teammates ready to embark on this journey with us.We are proud to partner with industry leaders such as First Round Capital and L Catterton.Our impactful products include:Perpay Marketplace: A platform that merges interest-free payments with modern e-commerce, making ownership more affordable while promoting healthy repayment behaviors.Perpay+: A tool that uses Marketplace repayment history to help members track and improve their credit scores with all three major credit bureaus.Perpay Credit Card: A credit card offering enhanced access to the benefits of a World Mastercard, eliminating barriers like high security deposits and low approval rates.Our team thrives on in-person collaboration in our unique center-city Philadelphia office, designed to be a comfortable "home away from home". This space not only offers stunning river views but also promotes rapid product development, strong relationships, and career growth. The excitement from achieving significant milestones is palpable. While we primarily work in the office, we provide reasonable flexibility for personal needs, such as caring for sick children or handling urgent errands, and we organize official remote weeks around major holidays. If you are passionate about making a meaningful impact, fostering collaboration, and enjoying generous perks, Perpay is the ideal place for you in Philadelphia.About the Role:As a Senior Data Scientist at Perpay, you will play a key role in our business's daily success, driving both new and existing product initiatives with your analytical prowess and machine learning expertise. Additionally, you will help shape the future of our data science team by developing scalable processes and systems to support our rapid growth. This is a thrilling opportunity to positively influence Perpay’s mission and improve the lives of our customers. We seek an individual who is enthusiastic about all facets of data science, including machine learning, exploratory data analysis, and the effective communication of results for real-time deployments. This pivotal position is part of our data science team and reports to the Data Science Manager.
Internship|On-site|Philadelphia, Pennsylvania, United States
About Us:At Perpay, we are proud to be a certified B Corp and a leading growth-stage startup in Philadelphia, committed to enhancing the financial stability of everyday Americans. For over ten years, we have achieved a strong product-market fit with a profitable and efficient operating model across a diverse range of products, establishing Perpay as the top financial partner for consumers navigating subprime credit.With more than 500,000 customers leveraging over $1 billion in spending power, we are at an exciting juncture. We are expanding our operations, creating innovative offerings, and amplifying our positive impact. We invite enthusiastic team members to join us on this transformative journey.Our venture partners include First Round Capital and L Catterton.Our impactful product offerings include:Perpay Marketplace: Merging interest-free payments with modern e-commerce to lower ownership costs and encourage responsible repayment behavior.Perpay+: Utilizing Marketplace repayment history to assist members in monitoring and improving their credit scores with all three major credit bureaus.Perpay Credit Card: Enhancing access to the benefits of a World Mastercard by eliminating common obstacles like high security deposits and low approval rates.Our team thrives on collaboration in our inviting center-city Philadelphia office, which provides stunning river views and fosters rapid product development, strong relationships, and career growth. The atmosphere is invigorating as we celebrate significant achievements together. While we primarily work on-site, we offer sensible flexibility for personal matters, including caring for sick children or urgent errands, and coordinate remote work weeks around major holidays. If you are passionate about making a difference, teamwork, equity, and enjoying generous perks, Perpay is the ideal place for you in Philadelphia.About the Role:As a Data Engineering Intern at Perpay, your primary focus will be on learning and development. We value mentorship and offer students a unique opportunity to gain valuable experience before graduation. During the 10-12 weeks of our internship in the summer of 2026, you will build data pipelines, design tools and infrastructure for large-scale data analysis, and tackle significant data warehousing challenges. You will collaborate with stakeholders to develop and implement innovative data solutions and extract actionable insights from complex datasets to guide management recommendations. In addition to engaging in impactful projects, you will have the opportunity to network with various business leaders to enhance your personal and professional growth.
Join our dynamic team as a Data Integration Specialist focusing on iWAY Development and Business Process Management (BPM). You will play a crucial role in designing, implementing, and optimizing data integration processes to ensure seamless data flow and enhance business operations. Your expertise will be pivotal in leveraging our data assets effectively, driving strategic decisions, and improving overall efficiency.
