About truelogic at truelogic we are a leading provider of nearshore staff augmentation services headquartered in new york. for over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups t...
Company overview: leadsmarket is a forward-thinking tech company and an industry leader in lead generation for financial services. we operate a next-generation platform where buyers and sellers trade leads, calls, and clicks. our platform serves as a...
Join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collaboration: work closely...
Join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collaboration: work closely...
Junior youtube strategist when you apply, please make sure the subject line is: i actually read the instructions this position is completely remote and may start part-time or full-time depending on the right fit, with a path to full-time for the right candidate. job overview we are seeking a detail-oriented youtube production manager to join our fast-growing marketing agency that helps top-ranked real estate teams ($10m to $1b/yr+ in annual volume) build their personal media brands. your role is to oversee our video production ecosystem, ensuring flawless execution of 45-80 high-quality videos monthly (with a team of 3-5 people) while maintaining exceptional client satisfaction and channel growth. are you obsessed with youtube (or social media) success? someone who lives and breathes video optimization? do you have a talent for managing multiple brand voices and coordinating creative teams? are you equally comfortable diving into analytics and providing strategic direction? if so, we might be the perfect match. core responsibilities - lead entire video production workflow from raw footage to final publishing - coordinate resources across editing, thumbnail, and publishing teams - manage channel optimization and publishing schedules for multiple real estate clients - track and optimize team capacity and production efficiency - implement and refine production sops and best practices - monitor youtube analytics and adjust strategies for maximum channel growth - ensure consistent 48-72 hour turnaround times while maintaining quality standards - drive client succe...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Who you’ll work with at slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. we're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. we’re thrilled by the opportunity to build the future we want to see, with anyone willing to join us. slalom’s data architecture & engineering team is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. within data architecture & engineering we help customers build world-class products through effective use of: ·data engineering consisting of streaming / real-time data solutions, modern data platforms, and data systems within products (e.g.., database systems, graph databases, key-value stores, document databases and transactional systems) ·data visualization ·machine learning and artificial intelligence what you’ll do slalom’s data architecture & engineering team is comprised of passionate, flexible technologists who love to practice and hone their craft. as tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery working with some of the most forward-thinking organizations in data and analytics. as a senior principal for slalom, you will design and deliver innovative solutions on amazon web services, microsoft azure, and google cloud platform using core cloud data warehouse tools, ...
Join to apply for the ml ops engineer id38029 – $3,000 sign-on bonus role at agile engine 4 weeks ago be among the first 25 applicants join to apply for the ml ops engineer id38029 – $3,000 sign-on bonus role at agile engine join us and receive a $2,500 sign-on bonus! agile engine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; -...
Senior strategic asset manager - software join the team as twilio’s next senior strategic asset manager, software. about the job this position is needed to lead and optimize twilio’s software asset management program. as a senior strategic asset manager, you’ll develop and implement lifecycle strategies that ensure efficient procurement, deployment, tracking, and governance of software licenses and subscriptions. this role partners cross-functionally to drive cost efficiency, license compliance, and operational excellence—ensuring employees have timely access to the software tools they need, while minimizing risk and maximizing value across the software portfolio. responsibilities in this role, you’ll: develop and drive software asset management (sam) strategies and lifecycle processes, aligning with itilv4 practices and business objectives to ensure license compliance, cost optimization, and risk mitigation. maintain a centralized, accurate, and real-time inventory of all software assets—including licenses, entitlements, saas and iaas subscriptions—across it managed assets. lead regular software audits and internal reviews to validate compliance with licensing agreements, regulatory standards, and vendor terms, minimizing legal and financial exposure. collaborate cross-functionally with procurement, corporate applications, end user computing & operations, legal, and finance to manage software supply chain processes, contribute requirements to negotiation discussions, and ensure effective software sourcing and renewals. analyze license usage, entitlement data, a...
Who we are mas global is a leader in digital engineering services, specializing in custom software engineering, cloud modernization, and expanding our leadership in data and ai-driven solutions. with onshore and nearshore teams in the same time zones, we deliver innovative and efficient solutions that streamline digital outcomes for midsize and global brands like johnson controls, dell, jpmorgan chase, and bloomberg. headquartered in tampa, florida, with a nearshore office in medellín, colombia, and teams across the us and latam, mas has been recognized five times by inc. 5000 as one of the fastest-growing companies in the united states. as a 100% women-owned and founder-led company, we also have a foundation, mas future, dedicated to impacting women and latinos through tech education and job opportunities. at mas, a certified great place to work, we are shaping the future of digital engineering through innovation, collaborative partnerships, and purpose-driven impact. your role as head of data & ai at mas global, you will lead one of the company’s most strategic growth areas by shaping, scaling, and evolving our data, ai, and cloud practices. you’ll define high-impact, client-centric offerings that blend cutting-edge technology with real-world business value. this is a hands-on leadership role that bridges strategy, architecture, and execution, positioning mas global at the forefront of data-driven transformation. you’ll collaborate closely with sales, delivery, and executive leadership, while fostering a culture of innovation and mentoring the next generation of te...
Youtube manager when you apply, please make sure the subject line is: i actually read the instructions this position is completely remote and may start part-time or full-time depending on the right fit, with a path to full-time for the right candidate. job overview we are seeking a detail-oriented youtube production manager to join our fast-growing marketing agency that helps top-ranked real estate teams ($10m to $1b/yr+ in annual volume) build their personal media brands. your role is to oversee our video production ecosystem, ensuring flawless execution of 45-80 high-quality videos monthly (with a team of 3-5 people) while maintaining exceptional client satisfaction and channel growth. are you obsessed with youtube (or social media) success? someone who lives and breathes video optimization? do you have a talent for managing multiple brand voices and coordinating creative teams? are you equally comfortable diving into analytics and providing strategic direction? if so, we might be the perfect match. core responsibilities - lead entire video production workflow from raw footage to final publishing - coordinate resources across editing, thumbnail, and publishing teams - manage channel optimization and publishing schedules for multiple real estate clients - track and optimize team capacity and production efficiency - implement and refine production sops and best practices - monitor youtube analytics and adjust strategies for maximum channel growth - ensure consistent 48-72 hour turnaround times while maintaining quality standards - drive client success metrics...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collaboration: work closely...
Senior strategic asset manager - software join the team as twilio’s next senior strategic asset manager, software. about the job this position is needed to lead and optimize twilio’s software asset management program. as a senior strategic asset manager, you’ll develop and implement lifecycle strategies that ensure efficient procurement, deployment, tracking, and governance of software licenses and subscriptions. this role partners cross-functionally to drive cost efficiency, license compliance, and operational excellence—ensuring employees have timely access to the software tools they need, while minimizing risk and maximizing value across the software portfolio. responsibilities in this role, you’ll: develop and drive software asset management (sam) strategies and lifecycle processes, aligning with itilv4 practices and business objectives to ensure license compliance, cost optimization, and risk mitigation. maintain a centralized, accurate, and real-time inventory of all software assets—including licenses, entitlements, saas and iaas subscriptions—across it managed assets. lead regular software audits and internal reviews to validate compliance with licensing agreements, regulatory standards, and vendor terms, minimizing legal and financial exposure. collaborate cross-functionally with procurement, corporate applications, end user computing & operations, legal, and finance to manage software supply chain processes, contribute requirements to negotiation discussions, and ensure effective software sourcing and renewals. analyze license usage, entitlement data, a...
Locations mx - mexico city paseo de la reforma 180 time type full time posted on posted 6 days ago job requisition id 318878 about the role: grade level (for internal use): 09 about the role: grade level (for internal use): 09 s&p; global commodity insights the role: ml/genai engineer the team: s&p; global is looking for a motivated and goal-oriented ml/genai engineer to join our data science and modelling team. the ideal candidate will thrive in a dynamic work environment, collaborating with a wide range of stakeholders and functional teams. the impact: as an ml engineer / genai engineer at s&p; global, you will apply your advanced analytical and engineering skills to transform our vast datasets into tangible business value. you will be instrumental in the deployment of machine learning and generative ai solutions, collaborating on product development, and communicating your findings to drive business decisions and serve external clients. responsibilities: drive business decisions based on insights obtained from data. apply strong problem-solving skills with an emphasis on product development. select features, build, and optimize machine learning techniques to improve the accuracy of new products. analyze data for trends and patterns, understanding insights with an unbiased mindset. implement various analytical methodologies to help solve problems related to the energy industry. close collaboration with software developers and machine learning engineers in the implementation of analytical models into production or commercialization. develop and utilize al...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
Join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collaboration: work closely...
About earth daily earth daily is revolutionizing the way we understand and monitor our planet. through cutting-edge earth observation (eo) technology and geospatial analytics, we provide unparalleled insights for industries ranging from agriculture to mining, insurance, and government intelligence. our mission is to build the world’s most advanced change detection system to capture, analyze, and interpret global shifts in near real-time. purpose and accountability the marketing social media and content manager is responsible for developing and executing earth daily's social media strategy and digital content initiatives to enhance brand visibility, engage target audiences, and drive global reach. this role requires a strategic mindset and creativity to elevate earth daily's voice across key platforms including linked in, x (formerly twitter), instagram, you tube, and emerging channels. note: this is a remote position that can be based anywhere in canada or the us, or, if preferable, hybrid or full-time out of the vancouver-based head office. candidates must hold current eligibility to work in canada or the us to be considered for the role. key activities - social media strategy & management: lead the creation and implementation of a comprehensive social media strategy that reflects earth daily’s brand values and growth objectives. - content calendar development & implementation: design and manage a robust social media and content calendar to ensure consistent and strategic messaging. - blog content & editorial planning: collaborate with the communications team to prod...
Svitla systems inc. is looking for a business analyst for a full-time position (40 hours per week) in colombia. our client is a comprehensive billing, payments, and software solution suite for legal, accounting, and other professional services firms, including consulting, architecture, and engineering. their mission is to simplify complex processes by integrating technology and automation into workflows, enabling businesses to focus more on their core services. their platforms are designed to facilitate seamless invoicing, payment processing, and client management, helping companies increase revenue and improve client satisfaction. these robust, easy-to-use solutions enable firms to increase their billable time, get paid faster, automate invoicing and payments, integrate systems, go paperless, and more. the portfolio of products boasts on-premise software and cloud-based and mobile features available across devices and supported by award-winning customer service based in the united states. requirements: 3+ years of experience in analytics and systems development. experience writing user stories and acceptance criteria using the given-when-then format. proven analytical skills. experience in generating process documentation and reports. excellent communication skills, with an ability to translate data into actionable insights. nice to have: bachelor’s degree (or equivalent) in information technology or computer science. expertise in technical writing. proven ability to manage projects and user testing. extensive experience with data visualiz...
**our purpose** _mastercard powers economies and empowers people in 200+ countries and territories worldwide. together with our customers, we’re helping build a sustainable economy where everyone can prosper. we support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **title and summary** cybersecurity services business development , senior managing consultant overview mastercard has evolved into a comprehensive technology and services platform. by expanding into areas such as fraud prevention, loyalty, personalization, and data analytics, mastercard now supports banks, merchants, and governments in delivering smarter, more secure, and highly personalized customer experiences. and as digital commerce has grown, so have the security challenges. cyber threats now extend beyond individual transactions to entire digital ecosystems, requiring a broader approach to protection. recognizing this, mastercard strengthened its cybersecurity capabilities through strategic acquisitions, beginning with riskrecon in 2019 and more recently recorded future, a global leader in threat intelligence. these additions enable mastercard to offer advanced cyber risk assessment and real-time threat detection, helping clients safeguard their entire digital footprint—not just the payments themselves. about the role: the cybersecur...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collabora...
This range is provided by workana. your actual pay will be based on your skills and experience — talk with your recruiter to learn more. base pay range $2,500.00/yr. 3,000.00/yr about us at workana, we are building the leading remote work ecosystem i...
About teramind teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization. with our comprehensive suite of solutions, organizations gain unprecedented visibil...
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