Job Title | Location | Description | Last Seen & URL |
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Senior Full-Stack Developer / AI Expert (Global | Remote)
Growmodo |
Remote Philippines
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As a Senior Full Stack Developer / AI Expert at Growmodo you’ll lead complex front-end and back-end development projects across Webflow WordPress and Shopify while helping us expand into custom development plugin/API engineering mobile app development and software applications. This role is ideal for someone who’s not only deeply technical but also AI-savvy excited to integrate tools like GitHub Copilot ChatGPT and AI-assisted QA into their workflow—and help set new standards for speed quality and scalability. This is a remote contractor role offering a high level of autonomy influence and the chance to shape the future of how we deliver digital development at scale. Working Hours: Mondays - Fridays 6AM-3PM Central European Time 1PM-10PM Asia/Manila 11PM-8AM Central Standard Time Key Responsibilities Build high-performance websites using Webflow WordPress and Shopify. Lead the development of custom themes plugins and third-party integrations. Take ownership of complex front-end and back-end architecture decisions. Contribute to (and later lead) mobile app and software development projects as we grow. Utilize AI tools to streamline development testing and documentation workflows. Mentor mid-level developers and contribute to internal knowledge sharing. Write clean scalable secure code with strong documentation and testing practices. Collaborate with product managers designers and other engineers across time zones. What We're Looking For Must-Haves: 5+ years of professional full stack development experience. Deep expertise in JavaScript/TypeScript HTML5 CSS3 and responsive design. Strong hands-on experience with WordPress Shopify and Webflow. Advanced knowledge of custom development in Shopify (Liquid CLI) and WordPress (PHP plugin/API development). Practical knowledge of Next.js and modern web application architecture. Familiarity with RESTful APIs GraphQL version control (Git) and CI/CD workflows. Proven experience using AI tools to enhance code quality reduce time to delivery and automate repetitive tasks. Strong English communication skills and ability to lead in a remote-first environment. Strategic thinker with a growth mindset and passion for staying ahead of tech trends. Bonus Points: Experience developing and deploying mobile apps (React Native Flutter or similar). Previous work with headless CMS and JAMstack architectures. Knowledge of backend frameworks (Node.js Laravel etc.). Familiarity with cloud services (e.g. AWS Firebase) or DevOps practices. Agency or fast-paced startup experience. Job Types: Full-time Permanent Pay: Php190000.00 - Php248000.00 per month Benefits: Additional leave Company events Health insurance Opportunities for promotion Pay raise Work from home Work Location: Remote
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4 hour(s) ago
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Machine Learning Engineer, AI (FULLY REMOTE)
Lensa |
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"Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs but promotes jobs on LinkedIn on behalf of its direct clients recruitment ad agencies and marketing partners. Lensa partners with DirectEmployers to promote this job for Cisco. Clicking ""Apply Now"" or ""Read more"" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Machine Learning Engineer (MLE) Artificial Intelligence Join us as we pursue our disruptive new vision to make machine data accessible usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk we’re committed to our work customers having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey! Role As a Machine Learning Engineer in the Artificial Intelligence group you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams mentor junior team members and help drive the engineering roadmap of the area. Responsibilities The responsibilities of this role include: Development of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains. Collaborate closely with software engineers applied scientists and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML and ensure that these advancements are properly incorporated into our technology roadmap. Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps. Requirements Knowledge Skills and Abilities: Bachelor's or Master's degree in Computer Science Engineering or a related field with at least 3+ years of industry experience. Experience with containerization and orchestration tools (e.g. Docker Kubernetes). Experience with model deployment and serving into production environments Knowledge of version control systems especially Git. Knowledge of CI/CD principles and tools. Familiarity with cloud platforms (AWS GCP Azure) and serverless architecture. Experience with MLOps platforms such as MLflow or Kubeflow. Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams. Excellent problem-solving skills and the ability to troubleshoot complex issues. Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Annual Base Pay: $176600 - $225900 USD When available the salary range posted for this position reflects the projected hiring range for new hire full-time salaries in U.S. and/or Canada locations not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors including but not limited to skillset experience and relevant education certifications or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees have access to quality medical dental and vision insurance a 401(k) plan with a Cisco matching contribution short and long-term disability coverage basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year which includes one floating holiday (for non-exempt employees) plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy which does not place a defined limit on how much vacation time eligible employees may use but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community. Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary Which Is Split Between Quota And Non-quota Components. For Quota-based Incentive Pay Cisco Typically Pays As Follows 75% of incentive target for each 1% of revenue attainment up to 50% of quota 1.5% of incentive target for each 1% of attainment between 50% and 75% 1% of incentive target for each 1% of attainment between 75% and 100% and once performance exceeds 100% attainment incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. Splunk a Cisco company is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race color religion gender sexual orientation national origin genetic information age disability veteran status or any other legally protected basis. If you have questions about this posting please contact support@lensa.com"
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10 hour(s) ago
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Junior Full Stack AI Engineer (Remote)
Lensa |
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"Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs but promotes jobs on LinkedIn on behalf of its direct clients recruitment ad agencies and marketing partners. Lensa partners with DirectEmployers to promote this job for Mogo Finance Technology Inc.. Clicking ""Apply Now"" or ""Read more"" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Location: Remote (Canada) Team: Product & Engineering Type: Full-time Base Salary for the role: $60000 - $70000 CAD At Mogo we’re building the future of finance through bold innovation and AI-native platforms. This role is part of our Intelligent Investing team. Build the Future of Wealth - With Intention Intelligent Investing isn’t about layering AI onto fintech it’s about reimagining the entire system where every decision feature and line of code reflects clarity discipline and long-term thinking. This isn’t another trading app chasing dopamine. We’re building the opposite: A platform where restraint is a feature. Where AI isn’t a gimmick it’s the foundation. Where compounding meets conviction. Our mission is simple: Help a new generation build wealth through intelligence not impulse. Why This Role? We're Hiring a Small Group Of High-upside Junior Engineers To Help Us Build The Future Of Disciplined AI-native Investing. You’ll Be Working Directly With Senior Builders On A full-stack architecture designed for speed elegance and scale AI-native flows that reinforce behavior not engagement Advanced feature sets (including crypto and options) gated by process not hype You’ll Be Building Product At The Intersection Of Behavioral finance Responsible crypto innovation AI systems that think like investors not algorithms chasing clicks Who This Is For You write code with intention not just speed. You’re obsessed with clean design thoughtful UX and systems that don’t shout. You’re not looking to ship more features you’re looking to build something that lasts. You respect Buffett more than Reddit. You want to work at a company where AI is the engine not the garnish. What You’ll Work On Full-stack development across our investing platform AI-driven interfaces that embed discipline into user flows Back-end systems that are fast simple and scalable Tools that help real people make better long-term decisions What We’re Looking For 0–3 years of professional experience (or projects that show you're ready) Proficiency with modern JS frameworks (React Next.js) and API development Curiosity about AI/ML crypto infrastructure and behavioral systems Strong design instincts and a clean aesthetic Humility hunger and a high standard for your work What We Offer A rare chance to help build a high-integrity product from the ground up Senior mentorship and exposure to world-class investors and operators Small team zero politics big impact Full remote flexibility across Canada A portfolio you’ll be proud of for years Comprehensive Health and Wellness - Access medical dental and vision coverage plus a Health Spending Account Stock Options - Have a stake in the company's success through stock options Flex Vacation - Benefit from paid time off including vacation days holidays and personal days Wellbeing Programs - Access counselling services mental health support and additional wellness resources This is not just an engineering role. It’s a bet on your future and ours. If that sounds like the right kind of pressure step inside. Benefits Of Working With Us ALWAYS FULLY REMOTE WORK - Enjoy the flexibility of remote work supported by necessary resources Comprehensive Health and Wellness - Access medical dental and vision coverage plus a Health Spending Account Stock Options - Have a stake in the company's success through stock options Flex Vacation - Benefit from paid time off including vacation days holidays and personal days Wellbeing Programs - Access counselling services mental health support and additional wellness resources About Us We help make it easy for Canadians to achieve financial freedom while making a positive impact. We live in the most innovative and technologically advanced era yet so much struggle exists. Most of us are far from where we want to be financially. We all want a better future. A better world where reaching financial freedom is a question of when not if. One that's equitable so that all can prosper. One that's safe from the impact of climate change. Our money has the power to change the world. It’s up to us to do things differently. Apply today! Do you know anyone who would be a great fit for this role or other roles on our career page? Please share this job posting with them! Mogo is an inclusive place to spend your work life. We hire team members for their talent and diverse backgrounds. Bring your unique perspective to Mogo and help our customers achieve their best financial lives. Powered by JazzHR If you have questions about this posting please contact support@lensa.com"
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10 hour(s) ago
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Lead Generation Consultant (Fluent in Korean, AI Research knowledge, remote, high commission)
The Collecitve C Managment Partners |
Remote Malaysia
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Lead Generation Specialist (Fluent in Korean AI Research knowledge Remote high commission) Who we are: We are a decentralized consulting firm focused on providing digital transformation services for our clients. Our vision is to create the most efficient and effective working environment for digital nomads while making sure we deliver exceptional results for our clients. We are seeking a motivated and detail-oriented Part-time Lead Generation Specialist to join our dynamic team. The ideal candidate will possess strong research skills a background in IT computing or engineering and experience in utilizing AI tools for proposal preparation. This role is critical in identifying potential leads and supporting our sales and marketing efforts. Key Responsibilities: Conduct in-depth research to identify potential leads in the IT and engineering sectors. Utilize AI tools to analyze data and generate insights for targeted lead generation. Prepare compelling proposals and presentations based on research findings. Collaborate with sales and marketing teams to develop strategies for outreach. Maintain and update the lead database to ensure accuracy and relevance. Monitor industry trends and competitor activities to identify new opportunities. Qualifications: Bachelor’s degree in IT Engineering Business or a related field. Proven experience in lead generation or a similar role preferably in a technical environment. Strong research and analytical skills with the ability to interpret data effectively. Familiarity with AI tools and software for proposal generation and market analysis. Excellent written and verbal communication skills. Self-motivated with a strong attention to detail and organizational skills. What You Get: 100% Commission-Based Compensation – No Cap on Earnings Flexible remote work environment Opportunity to grow with a fast-moving results-driven sales team How to Apply: Interested candidates are encouraged to submit their resume. Job Type: Freelance Benefits: Flexible schedule Work from home Language: Korean (Required) Work Location: Remote
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12 hour(s) ago
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Junior Full Stack AI Engineer, (Remote)
Jobright.ai |
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Verified Job On Employer Career Site Job Summary: Lensa is a career site that helps job seekers find great jobs in the US and they are seeking a Junior Full Stack AI Engineer to join Mogo Finance Technology Inc. This role involves building a disciplined AI-native investing platform focusing on full-stack development and creating user interfaces that promote responsible financial decisions. Responsibilities: • Full-stack development across our investing platform • AI-driven interfaces that embed discipline into user flows • Back-end systems that are fast simple and scalable • Tools that help real people make better long-term decisions Qualifications: Required: • 0–3 years of professional experience (or projects that show you're ready) • Proficiency with modern JS frameworks (React Next.js) and API development • Curiosity about AI/ML crypto infrastructure and behavioral systems • Strong design instincts and a clean aesthetic • Humility hunger and a high standard for your work Company: Lensa is a job search engine that uses machine learning to match candidates to companies' skills goals personalities and needs. Founded in 2014 the company is headquartered in West Chester Pennsylvania USA with a team of 51-200 employees. The company is currently Growth Stage.
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20 hour(s) ago
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Fully Remote Sales Representative – Commission-Based | AI SaaS
Star Prove |
Remote United States
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Company Overview: Star Prove is a fast-growing AI-powered platform that helps local businesses enhance their online visibility reputation and customer engagement. We serve small to mid-sized businesses—especially in industries like healthcare dining beauty and home services—by using AI to improve reviews SEO and social presence. About the Role: We are looking for driven professional and persuasive sales representatives to join our remote team. This is a commission-based opportunity ideal for individuals who enjoy sales want flexible working hours and are motivated by results. You will receive pre-qualified leads a detailed sales pitch and ongoing training. Your job is to engage each lead by phone introduce them to Star Prove and book a demo or close the sale. Responsibilities: Call provided leads one by one (no cold sourcing required) Communicate our value proposition clearly and persuasively Book product walkthroughs or demo calls with prospects Log all outreach activity into provided CRM or spreadsheet Meet weekly conversion or outreach targets What We Provide: Warm leads list (businesses already identified as ideal clients) High-converting call script and pitch AI-powered product with proven market fit Sales support from the Star Prove team Weekly training and performance tips Compensation: This is a 100% commission role with uncapped earning potential. Average commission per sale: $50–$300 Top reps earn $600–$1500/week. Bonus structure for consistent closers Requirements: Clear professional communication skills Previous sales or customer service experience is a plus Comfortable using CRM spreadsheets and online tools Self-motivated and target-driven Reliable computer internet access cell phone and quiet call environment Work Schedule: Flexible: You choose your hours Remote: Work from anywhere No minimum hours but performance is reviewed weekly How to Apply: Apply directly here. After a brief review shortlisted candidates will be invited for a short intro call and test pitch. Let’s grow together! Eligibility: You must be able to work in the U.S. (Form I-9) legally. Applicants 16 or 17 need parental consent and must follow Texas youth-labor hour limits.” We celebrate diversity—applicants of all backgrounds are encouraged. Apply now! Show us your energy and we’ll show you how to succeed. No corporate red tape. Just real hustle real results and real rewards. Job Types: Full-time Part-time Pay: $100.00 - $300.00 per day Benefits: Flexible schedule Referral program People with a criminal record are encouraged to apply Work Location: Remote
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21 hour(s) ago
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AI Developer - Predictive Modeling (Independent Contractor, 100% Remote)
larvol |
India (Remote)
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Key Responsibilities: Design develop and deploy AI models for predictive analytics. Build and optimize machine learning models for tasks like classification forecasting and risk prediction. Preprocess and clean data to improve model accuracy and efficiency. Experiment with different feature engineering techniques to enhance predictions. Monitor model performance and fine-tune parameters to improve results. Qualifications: 1+ years of experience in AI development or machine learning. Proficiency in Python and experience with machine learning libraries such as TensorFlow PyTorch or scikit-learn. Familiarity with data preprocessing and feature engineering. Ability to work independently and in a team environment. Good problem-solving and analytical skills. Strong communication skills to explain AI concepts to non-technical stakeholders.
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22 hour(s) ago
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Cognitive Knowledge Engineer (AI, LLM, Remote)
ibusinessfunding |
Fort Lauderdale, Florida (Remote)
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About iBusiness Funding iBusiness Funding is a software and lender service provider specializing in small business lending. Our technology team and process enable us to support loans from $10000 to $25 million for our lending partners. Our technology solutions have been proven to quickly scale our clients’ portfolios without the need for additional overhead. Our flagship product LenderAI features end-to-end lending functionality from sales all the way through servicing To date we’ve processed over $11 billion in small business loans and handle more than 1000 business loan applications daily. Our team is driven by our core values of innovation integrity enjoyment and family. Join us and be part of a team that’s transforming the finance industry and empowering businesses to thrive! Position Description We are seeking an experienced expert Cognitive Knowledge Engineer to design implement and scale state-of-the-art AI systems that combine large language models (LLMs) advanced retrieval techniques cognitive memory architectures including knowledge representation and data fusion. In this role you will orchestrate robust data pipelines architect scalable training data solutions and build the foundational knowledge bases that power next-generation AI agents. You will collaborate with cross-functional teams to ensure our systems efficiently retrieve contextualize and generate accurate information for diverse business applications. Major Areas of Responsibility Architect implement and optimize retrieval-augmented generation (RAG) workflows by integrating local LLMs (e.g. Llama) with retrieval mechanisms (vector search Elasticsearch FAISS Weaviate). Design build and maintain scalable data pipelines for ingesting transforming indexing and retrieving structured and unstructured data from diverse sources. Design build and scale addressable services and tools specifications that can be leveraged by LLMs and Agents to orchestrate workflows. Orchestrate and scale training data operations including data curation versioning and lineage tracking for large-scale LLM training and fine-tuning. Develop and maintain ontologies knowledge graphs and semantic data models to structure and integrate domain-specific knowledge for improved retrieval and reasoning. Implement and optimize knowledge retrieval strategies (dense/sparse retrieval ranking algorithms) to maximize system accuracy and relevance. Aggregate disparate knowledge bases and heterogeneous data into a fused approach for access to relevant contextual information. Design cognitive memory systems for AI agents enabling persistent knowledge retention and contextual awareness across interactions. Collaborate with AI researchers data scientists and engineers to align knowledge architecture with business objectives and ensure data quality. Evaluate and integrate new technologies and research advancements in LLMs RAG information retrieval and knowledge representation. Maintain clear and comprehensive documentation of models pipelines and workflows. Required Knowledge Skills and Abilities Bachelor’s or Master’s degree in Computer Science Data Science Machine Learning or a related field. Proven experience designing and scaling data pipelines and training data workflows for LLMs or similar AI systems. Strong background in information retrieval systems vector search technologies and RAG frameworks (e.g. FAISS Pinecone Elasticsearch Milvus). Proficiency in programming (Python) and machine learning libraries (TensorFlow PyTorch). Experience with ontologies knowledge graphs and semantic technologies (RDF OWL SPARQL). Familiarity with distributed data processing and orchestration tools (e.g. Spark Airflow Kubeflow). Excellent analytical problem-solving and communication skills. Ability to work collaboratively in a cross-functional fast-paced environment. Nice To Haves Experience with LLM fine-tuning prompt engineering and RAG optimization. Familiarity with data-centric AI principles and training data quality assessment. Experience with cloud platforms and scalable storage solutions. Background in cognitive memory architectures or AI agent design. Conclusion: This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications skills efforts duties responsibilities or working conditions associated with the position. The company is an equal opportunity employer and will consider all applications without regard to race sex age color religion national origin veteran status disability genetic information or any other characteristic protected by law.
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1 day(s) ago
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Junior Full Stack AI Engineer (Remote)
Lensa |
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"Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs but promotes jobs on LinkedIn on behalf of its direct clients recruitment ad agencies and marketing partners. Lensa partners with DirectEmployers to promote this job for Mogo Finance Technology Inc.. Clicking ""Apply Now"" or ""Read more"" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Location: Remote (Canada) Team: Product & Engineering Type: Full-time Base Salary for the role: $60000 - $70000 CAD At Mogo we’re building the future of finance through bold innovation and AI-native platforms. This role is part of our Intelligent Investing team. Build the Future of Wealth - With Intention Intelligent Investing isn’t about layering AI onto fintech it’s about reimagining the entire system where every decision feature and line of code reflects clarity discipline and long-term thinking. This isn’t another trading app chasing dopamine. We’re building the opposite: A platform where restraint is a feature. Where AI isn’t a gimmick it’s the foundation. Where compounding meets conviction. Our mission is simple: Help a new generation build wealth through intelligence not impulse. Why This Role? We're Hiring a Small Group Of High-upside Junior Engineers To Help Us Build The Future Of Disciplined AI-native Investing. You’ll Be Working Directly With Senior Builders On A full-stack architecture designed for speed elegance and scale AI-native flows that reinforce behavior not engagement Advanced feature sets (including crypto and options) gated by process not hype You’ll Be Building Product At The Intersection Of Behavioral finance Responsible crypto innovation AI systems that think like investors not algorithms chasing clicks Who This Is For You write code with intention not just speed. You’re obsessed with clean design thoughtful UX and systems that don’t shout. You’re not looking to ship more features you’re looking to build something that lasts. You respect Buffett more than Reddit. You want to work at a company where AI is the engine not the garnish. What You’ll Work On Full-stack development across our investing platform AI-driven interfaces that embed discipline into user flows Back-end systems that are fast simple and scalable Tools that help real people make better long-term decisions What We’re Looking For 0–3 years of professional experience (or projects that show you're ready) Proficiency with modern JS frameworks (React Next.js) and API development Curiosity about AI/ML crypto infrastructure and behavioral systems Strong design instincts and a clean aesthetic Humility hunger and a high standard for your work What We Offer A rare chance to help build a high-integrity product from the ground up Senior mentorship and exposure to world-class investors and operators Small team zero politics big impact Full remote flexibility across Canada A portfolio you’ll be proud of for years Comprehensive Health and Wellness - Access medical dental and vision coverage plus a Health Spending Account Stock Options - Have a stake in the company's success through stock options Flex Vacation - Benefit from paid time off including vacation days holidays and personal days Wellbeing Programs - Access counselling services mental health support and additional wellness resources This is not just an engineering role. It’s a bet on your future and ours. If that sounds like the right kind of pressure step inside. Benefits Of Working With Us ALWAYS FULLY REMOTE WORK - Enjoy the flexibility of remote work supported by necessary resources Comprehensive Health and Wellness - Access medical dental and vision coverage plus a Health Spending Account Stock Options - Have a stake in the company's success through stock options Flex Vacation - Benefit from paid time off including vacation days holidays and personal days Wellbeing Programs - Access counselling services mental health support and additional wellness resources About Us We help make it easy for Canadians to achieve financial freedom while making a positive impact. We live in the most innovative and technologically advanced era yet so much struggle exists. Most of us are far from where we want to be financially. We all want a better future. A better world where reaching financial freedom is a question of when not if. One that's equitable so that all can prosper. One that's safe from the impact of climate change. Our money has the power to change the world. It’s up to us to do things differently. Apply today! Do you know anyone who would be a great fit for this role or other roles on our career page? Please share this job posting with them! Mogo is an inclusive place to spend your work life. We hire team members for their talent and diverse backgrounds. Bring your unique perspective to Mogo and help our customers achieve their best financial lives. Powered by JazzHR If you have questions about this posting please contact support@lensa.com"
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1 day(s) ago
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Data & AI Cloud Engineer—GCP (remote UK)
revolgy |
London, n a (Remote)
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As a Data & AI Cloud Engineer at Revolgy you will be a key contributor to the design development and deployment of data and AI solutions on Google Cloud Platform (GCP). You will leverage your expertise in data engineering AI and cloud technologies to help our customers transform their data into actionable insights. This is an excellent opportunity to deepen your technical skills work on diverse projects and grow your career within a dynamic and supportive team. Location 🌍 Remote position open to candidates in the UK. Contract Type 📃 This position is open to candidates seeking employment under a standard employment agreement or engagement as an independent contractor under a business-to-business (B2B) contractual arrangement About Revolgy ☁️ Revolgy is a leading multinational company providing digital transformation services through online collaboration tools and cloud infrastructure operating on Google Cloud Platform and Amazon Web Services. We are a premier partner of Google and Amazon. We serve over 2000 customers around the globe. What Will You Do? 🔧 Contribute to the design of data solutions and assist with their implementation on GCP. Develop and deploy AI/ML models using Vertex AI applying your knowledge of machine learning techniques. Build and optimise efficient data pipelines to ensure smooth data flow and processing. Implement data quality monitoring processes to maintain data accuracy and reliability. Help automate infrastructure and deployment tasks to improve efficiency and scalability. Troubleshoot technical issues related to data pipelines AI models and cloud infrastructure. Create clear and concise technical documentation for solutions and processes. What You Bring 🎯 Demonstrated experience with Google Cloud Platform (GCP) services including BigQuery BQ ML Dataflow and Vertex AI. Working knowledge of data engineering specifically building and maintaining data pipelines. You are proficient in programming languages such as Python. You are familiar with fundamentals of AI/ML concepts and tools such as Vertex AI. You understand data governance principles and best practices. You have strong problem-solving skills and the ability to analyze and resolve technical challenges. You possess excellent communication skills and can collaborate effectively within a team. You have knowledge of DevOps concepts including CI/CD and infrastructure as code. Why Join Revolgy? 🌎 Fully remote setup & flexible remote-first culture 🤲 Contribution to pension plan 🏖️ 5 weeks of paid vacation & sick days 🏠 Budget for work equipment and energy costs 📱 Mobile phone & mobile tariff contribution 💻 Company notebook👥 Growth & learning – access to continuous training certifications and career development opportunities.🔥 Challenging environment – work on complex high-impact cloud projects that push the boundaries of innovation. ✈️ Travel to partner events company gatherings and others. Equal Opportunity Employer 🌈 Diversity and equal opportunity are important to us. We are happy about the interest of all candidates and strive to provide feedback as quickly as possible.
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1 day(s) ago
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