Senior Machine Learning Engineer (MLOps & Computer Vision)

Join our innovative team at rehire as a Senior Machine Learning Engineer, specializing in MLOps and Computer Vision. In this role, you will leverage your expertise to build and optimize machine learning systems, ensuring seamless integration and deployment of models into production. You will collaborate with cross-functional teams to drive the development of cutting-edge solutions that enhance our operational efficiency and deliver value to our clients.

devpro is seeking a Senior or Principal Software Engineer with a focus on Python, Computer Vision, and Machine Learning. This is a remote position based in Buenos Aires, Argentina. Role overview This role centers on designing and building solutions that apply computer vision and machine learning techniques using Python. Collaboration with teams across disciplines is a core part of the work, ensuring products evolve to meet client needs. What you will do Develop and implement software solutions using Python, with a focus on computer vision and ML applications. Work closely with other teams to improve and extend product capabilities. Contribute technical expertise to deliver technology aligned with client requirements. Requirements Extensive experience with Python. Strong background in computer vision and machine learning. Ability to collaborate effectively with cross-functional teams.

Join qodea, a pioneering global technology group poised for the future, where you will engage with high-caliber professionals in high-stakes projects that shape your career. At qodea, you're not just tackling tasks; you're innovating solutions to problems that have yet to be solved.Our exclusive roster of talent includes some of the best minds in the industry, sought after by global leaders like Google, Snap, Diageo, PayPal, and Jaguar Land Rover when they face impossible deadlines or challenges that have stumped others.Leave behind routine consultancy and immerse yourself in an environment where technology, design, and human behavior converge to create impactful results swiftly. This is the kind of work that not only makes a difference but also leaves a lasting impression.

Xometry (NASDAQ: XMTR) is at the forefront of modern manufacturing, seamlessly connecting innovative thinkers with manufacturers who can transform their visions into reality. Our digital marketplace equips manufacturers with critical resources for growth while enabling Fortune 1000 companies to access global manufacturing capabilities effortlessly.We are on the lookout for a Senior Machine Learning Engineer to join our dynamic team. The ideal candidate will elevate our machine learning capabilities and play a pivotal role in an organization where AI is central to our business strategy. Join a small, highly skilled team that takes pride in ownership of their work and thrives on continuous learning and coding. Your contributions will significantly impact the Xometry platform.

Join Qodea, a global technology group poised for the future, where you can engage in high-stakes projects that define your career. As part of our extraordinary team, you won't just tackle projects; you'll address challenges without clear solutions.Our elite roster of talent is sought after by global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover, for those moments when deadlines seem insurmountable and when previous attempts have fallen short. You will deliver impactful solutions swiftly, operating at the confluence of technology, design, and human behavior.We are in search of individuals who exemplify:Innovation in overcoming complex challenges.Accountability for results.Unwavering integrity.Role OverviewAs a Senior Machine Learning Engineer at Qodea, you will work at the intersection of applied machine learning, large-scale data, and user-facing products. You will be responsible for designing, building, and deploying cutting-edge ML solutions that enhance user experiences while managing the entire ML lifecycle and ensuring seamless model integration in our production environments.Your Responsibilities:Utilize your expertise in statistical modeling and machine learning to conduct deep data analysis and feature selection.Deconstruct ML pipelines to enhance their robustness in real-world applications.Create and maintain data pipelines to prepare data for model training and evaluation.Design and implement A/B tests to assess model performance and its impact on business metrics.Establish and oversee model observability for tracking accuracy, bias, and drift.Collaborate with data engineers to ensure high-quality data ingestion for intelligent systems.Key Qualifications:Strong foundational knowledge of diverse ML algorithms and the ability to select the appropriate tool for each task.Hands-on experience with cloud-native ML services, preferably on GCP using Vertex AI.Proficiency in Python and its associated data science libraries.Experience with data storage technologies and their scalability characteristics.Excellent communication skills and the ability to thrive in ambiguous situations.Additional Skills:Experience with graph databases such as Neo4j.Familiarity with API development using REST or GraphQL.Experience deploying ML solutions in e-commerce or financial services.What We Expect:We are building a world-class delivery center in Buenos Aires and strive to attract the finest engineering talent in the region. We believe that the best work occurs through collaborative in-person engagement.

Xometry (NASDAQ: XMTR) is at the forefront of industrial innovation, bridging the gap between visionary thinkers and manufacturers capable of transforming ideas into reality. Our digital marketplace empowers manufacturers with essential resources for growth while enabling Fortune 1000 buyers to access global manufacturing capabilities seamlessly.We are currently seeking a Senior Data Scientist to join our dynamic Generative AI team. In this pivotal role, the successful applicant will be responsible for training and fine-tuning Visual Language Models (VLMs) aimed at advanced multimodal document comprehension. The ideal candidate will apply their deep expertise in machine learning and computer vision to enhance Xometry's proficiency in processing and extracting structured information from complex documents and images. This position is a 1-year contract.

ABOUT USSQUIRE is the premier business management platform tailored for barbers and shop owners, empowering them to focus on their craft while effectively managing their businesses. Our mission is to simplify the complexities of business operations through innovative tools, resources, and support, enabling barbers at all experience levels to enhance customer engagement, streamline shop management, and boost revenue.Since our inception in 2015, SQUIRE has gained the trust of over 30,000 barbers across more than 5,000 shops in over a thousand cities worldwide. From efficient booking systems to insightful earning dashboards, SQUIRE helps shop owners harmonize their artistic endeavors with their business aspirations. Join us in helping barbers unlock their full potential as both artists and entrepreneurs.For further information, visit us at getsquire.com or download the SQUIRE app from the App Store or Google Play.

At Qodea, we are a pioneering global technology group, designed for the challenges of tomorrow. We provide exceptional professionals the opportunity to engage in high-stakes projects that can define their careers. Joining us means you will not only tackle complex projects, but also solve problems that have yet to be addressed.Our elite team is sought after by global leaders like Google, Snap, Diageo, PayPal, and Jaguar Land Rover when the stakes are high and deadlines seem unattainable. We are not your typical consultancy; instead, we operate at the intersection of technology, design, and human behavior to deliver rapid, impactful results. This is work that makes a difference, and it’s something you’ll be proud to discuss with your peers.We seek individuals who embody:Innovation in addressing the most challenging issues.Accountability for every outcome.Integrity in all actions.Role OverviewWe are in search of a visionary engineer to spearhead our machine learning engineering function. You will oversee the complete lifecycle of machine learning models that drive key product features, from selection and prototyping to large-scale production deployment. This role demands a combination of profound mathematical expertise and top-tier engineering skills to tackle complex business challenges through intelligent systems.As a Principal Machine Learning Engineer at Qodea, you will:Lead the selection, design, and prototyping of ML models for recommendation and predictive analytics.Architect robust ML lifecycles utilizing Directed Acyclic Graphs (DAGs) and automated pipelines to ensure production resilience.Establish strategies for model observability, tuning, and optimization to guarantee sustained post-deployment accuracy.Collaborate with product managers to diagnose problems and deliver effective AI-driven solutions.Mentor team members and remain abreast of advancements in generative AI and large language models (LLMs).Facilitate the integration of ML models into backend processes, ensuring low latency and high availability.What Sets You Apart:Extensive experience in designing and deploying production-grade machine learning systems at scale.Proficient programming skills in Python, with substantial experience in libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.Proven track record in natural language processing, semantic search, or recommendation engines.Demonstrated ability to lead cross-functional teams and shape technical roadmaps.In-depth knowledge of large-scale data processing technologies like Apache Beam, Spark, or Flink.Preferred Qualifications:Experience in fine-tuning and deploying large language models in a production environment.Familiarity with vector databases and technologies such as Elasticsearch.Advanced degree in Computer Science, Statistics, or a related quantitative field.

Intuition Machines is at the forefront of leveraging AI/ML technology to develop cutting-edge enterprise security solutions, including our renowned hCaptcha security suite. With a global team dedicated to making a difference, we are committed to building systems that support hundreds of millions of users worldwide. Our operational philosophy emphasizes minimal overhead, agile teams, and swift iterations.As a Senior Backend Engineer, your primary focus will be on enhancing our core production code, which may involve working with distributed systems and optimizing machine learning pathways. You'll play a crucial role in refining our evolving systems, improving threat models, and advancing our CI/CD practices.Key Responsibilities:Design, develop, and sustain secure, scalable backend services and algorithms.Implement DevSecOps methodologies, including security protocols, monitoring, metrics, and automated alerts.Create clean, well-documented, production-ready code with comprehensive test coverage.Enhance engineering practices through code reviews, automation testing, and on-call support.Transform complex requirements into actionable sprint tasks while providing mentorship to team members.Qualifications:A minimum of 5 years of relevant experience in a similar engineering role.Proficiency in backend development using Python and at least one of the following: Golang, Rust, or C++.Experience with Kubernetes, metrics-driven deployments, containerization, and microservices architecture.Familiarity with monitoring and tracing solutions.Expertise in key-value stores and SQL databases, with a focus on performance optimization.Experience with high-traffic, low-latency distributed systems, including queue-first architecture and sharding.Strong architectural skills, encompassing requirement gathering, problem-solving, and recommendations.Preferred Qualifications:Desire to learn and work with various technologies such as Python, Golang, Redis, PostgreSQL, Kafka, RabbitMQ, Clickhouse, Kubernetes, Helm, AWS, Azure, and JavaScript.Understanding of security frameworks, attack vectors, botnets, OLAP at scale, and online/active learning systems.Interest or experience in AI/ML and blockchain technologies.What We Offer:A fully remote position with flexible working hours.An inspiring global team of professionals.Modern development and deployment workflows: ship early, ship often.High impact: significant user base, satisfied customers, rapid growth, and cutting-edge R&D.A flat organizational structure allowing direct interaction with customer teams.We are dedicated to promoting equality of opportunity and fostering an inclusive environment for all team members.Join us in revolutionizing cybersecurity, user privacy, and machine learning!

Xometry (NASDAQ: XMTR) is at the forefront of transforming industries by bridging innovative thinkers with manufacturers capable of realizing their visions. Our digital marketplace equips manufacturers with essential resources for growth while simplifying access for buyers from Fortune 1000 companies to leverage global manufacturing capabilities.Xometry is actively seeking a Machine Learning Engineer II passionate about enhancing machine learning capabilities and deploying models at scale. In this pivotal role, you will design, implement, and maintain resilient statistical and machine learning models, collaborating closely with data scientists to convert research and experimentation into dependable, high-impact systems. You will utilize your data intuition and engineering expertise to boost model performance, reliability, and visibility, while developing predictive models that assist in pricing, cost estimation, and sourcing recommendations.Key Responsibilities:Design, develop, and optimize machine learning models to enhance Xometry's platform and operational efficiency.Analyze extensive datasets to uncover significant patterns and insights.Collaborate with cross-functional teams to integrate machine learning models into production systems.Adopt and implement best practices in model evaluation, performance tuning, and deployment.Drive technical direction by identifying opportunities to refine modeling techniques, improve data quality, and enhance system architecture.Ensure machine learning solutions are explainable, maintainable, and aligned with business objectives.Facilitate the transition from research to production, ensuring models perform effectively in real-world scenarios as they do in theoretical frameworks.Gain exposure to the latest machine learning frameworks and tools utilized within the manufacturing sector.

At AlixPartners, we tackle the most intricate and critical challenges by swiftly transitioning from analysis to action when it truly matters, generating value that leaves a lasting impact on businesses, their employees, and the communities they serve. We prioritize understanding, respecting, and honoring the needs of our employees, clients, and communities, actively fostering an inclusive environment. We firmly believe in the value that diversity adds to our experiences and are dedicated to the continuous improvement of our initiatives, policies, and practices. We hold ourselves accountable by creating a space for authenticity, growth, and equity for everyone. AlixPartners has adopted a hybrid work model to enhance flexibility and support our employees' work-life integration. Our hybrid approach combines both in-person (at client sites or AlixPartners offices) and remote working arrangements. Travel is a component of this role, although the frequency will vary depending on client needs, team dynamics, and individual circumstances.What You Will DoAre you excited about a future that surpasses your expectations? At AlixPartners, your enthusiasm can shape your career. We collaborate in smaller, senior teams that provide deep industry and functional expertise to our clients. You will work closely with owners, boards, and CEOs to tackle the issues at the forefront of their agendas—often making headlines.As part of our practice, you will assist financially stable, under-performing, and distressed companies in navigating various urgent, high-impact scenarios. Our elite professionals are recognized authorities in their fields, utilizing their skills and experiences to deliver measurable improvements for our clients.The AI & Machine Learning Consultant is a full-time position located in Buenos Aires, with key responsibilities including:Model Development: Develop and enhance models for pricing, forecasting future trends, and scoring metrics.Data Collection and Exploration: Gather and analyze data to extract insights that empower companies to make informed decisions.Utilization of Generative AI: Leverage generative AI technologies to automate processes typically performed by analysts.Dashboard Creation: Design dashboards for decision-making, offering a visual representation of data.Reporting: Produce reports that highlight findings to boost business revenue and guide strategic decisions.We welcome applications from candidates at various seniority levels, so apply to learn more!

At Intuition Machines, we harness the power of AI and machine learning to develop cutting-edge enterprise security solutions. Our innovative research impacts systems that serve hundreds of millions of users globally, supported by a diverse team working remotely across various locations. You may recognize us for our flagship product, the hCaptcha security suite. Our operational philosophy emphasizes minimal overhead, small, agile teams, and rapid product iterations.As a Senior Frontend Engineer, you will play a pivotal role in collaborating with team members, product owners, and key stakeholders to conceptualize, develop, and implement solutions that align with predefined requirements. You will oversee project deliverables, timelines, and stakeholder expectations, ensuring a seamless user experience through high-quality code that adheres to best practices in security and reliability. Staying abreast of market trends and innovations will be crucial in creating an appealing, consistent, and highly functional user interface.Key Responsibilities:Design, develop, and maintain secure, robust, scalable, and high-performance frontend web and mobile applications.Produce well-structured, maintainable, and thoroughly tested code that meets our high standards, suitable for open-source contribution.Enhance our global codebase through collaborative efforts including brainstorming sessions, code reviews, and unit testing.Translate complex customer requirements into actionable code for sprint pipelines, while providing mentorship and support to team members.Desired Qualifications:A minimum of 4 years of relevant experience in frontend development.In-depth knowledge of JavaScript, especially with frameworks such as React, for building intricate solutions.Demonstrated expertise in solution architecture and engineering, including requirements gathering and problem-solving skills.Strong communication and presentation skills, with experience mentoring and supporting peers from diverse backgrounds.Preferred Skills:Experience with WebGL, WebWorkers, or other modern web APIs.Familiarity with containerization tools like Docker and Kubernetes.Understanding of online security frameworks and annotation interfaces.What We Offer:A fully remote working environment with flexible hours.An inspiring global team of talented professionals.Modern development workflows that prioritize frequent deliveries.The opportunity to make a significant impact with a broad user base and engaged customers.A flat organizational structure allowing direct interaction with customer teams.We are dedicated to promoting equality of opportunity and fostering an inclusive atmosphere for all our team members.Join us in revolutionizing the fields of cybersecurity and user privacy.

Join qodea, a pioneering global technology group that is shaping the future. We provide exceptional professionals with a platform for impactful work that defines careers. Here, you will tackle challenges that have yet to be solved, contributing to groundbreaking projects.Our exclusive team is sought after by industry leaders such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover for their most pressing and complex challenges, especially when deadlines are tight or solutions have previously eluded others.Say goodbye to conventional consultancy; at qodea, you will be at the intersection of technology, design, and human behavior, delivering quick, tangible results that leave a lasting impact.We seek individuals who exemplify:Innovative problem-solving abilities.Accountability for every outcome.Unwavering integrity.Role OverviewAs a Senior Data Science Engineer at qodea, you will play a crucial role in transforming analytical insights into production-ready models. Your focus will be on core data science and machine learning, particularly in recommendation systems and predictive analytics. You will collaborate within a cross-functional team to ensure our AI solutions are practical, scalable, and robust.Key Responsibilities:Conduct statistical modeling and apply both supervised and unsupervised learning algorithms.Preprocess, clean, and engineer features from large datasets to enhance model performance.Utilize graph structures for analytical insights and work with graph databases.Integrate large language models (LLMs) into applications for reasoning and data comprehension.Design and implement model validation and evaluation frameworks to ensure reliable predictions.Collaborate with MLOps and data engineers to transition models from research to production.Qualifications That Will Make You Stand Out:Proficient in Python for data analysis and machine learning using TensorFlow or PyTorch.Experience with model clustering and segmentation techniques.Strong analytical and critical thinking skills, employing an iterative approach to development.Familiarity with MLOps principles, including versioning and monitoring.Skilled in SQL for data extraction and manipulation.Additional Nice-to-Haves:Experience with data vectorization and emerging vector-based technologies.Knowledge of Google Cloud Platform (GCP) data and ML services.What We Expect From You:We are establishing a world-class delivery center in Buenos Aires and are looking for the region's top engineering talent. We believe that the best work arises from in-person collaboration. Therefore, we expect a genuine commitment to being present in the office one to two days a week, when not engaged in project work, to help cultivate our culture and engage in spontaneous problem-solving.

Are you ready to make a difference? Join our team! GoFundMe is the premier global platform for community-driven support, devoted to empowering individuals to assist one another. By connecting individuals and non-profits in a unified space, we make it simple and secure for people to seek help and support various causes—both for themselves and others. Since 2010, our community has successfully raised over $40 billion. We are seeking a talented Staff LLM Engineer to join our Applied Science organization. In this pivotal role, you will be responsible for designing, developing, and deploying cutting-edge services and applications utilizing advanced machine learning and AI techniques, including generative AI, personalization, recommender systems, search and retrieval systems, taxonomy, and classification systems. You will need to demonstrate strong end-to-end execution and possess a broad and deep expertise in machine learning, AI, and secure software development. This position is hybrid. Candidates must be based in Buenos Aires, Argentina. Your Responsibilities: Design and implement a variety of AI and ML applications and workflows, such as agents, batch inferencing processes, and real-time inferencing solutions. Contribute to the development of search and retrieval algorithms, recommender systems, and personalization algorithms. Lead research and development efforts for sophisticated machine learning models, as well as model training and evaluation pipelines. Enhance operational excellence by spearheading initiatives to streamline AI and machine learning workflows, establishing standardized procedures to ensure high-quality outcomes across our AI/ML projects and systems. Continuously monitor and assess emerging AI and machine learning research and technologies, integrating relevant advancements into our solutions. Collaborate effectively with technical and non-technical colleagues, including data scientists, software engineers, product managers, and business stakeholders, to ensure the successful execution of machine learning projects. Mentor and coach fellow engineers, fostering a culture of collaboration, scientific inquiry, continuous learning, and engineering excellence. Utilize a diverse range of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems.

Join SoftwareMind as a Platform AI Software Engineer where you will play a pivotal role in developing cutting-edge AI solutions. Collaborate with a dynamic team and engage in innovative projects that push the boundaries of technology.

At Intuition Machines, our security solutions are recognized and utilized by industry leaders across various sectors. One of our flagship products, the hCaptcha security suite, embodies our commitment to innovation and excellence. Our operational philosophy revolves around empowering small teams to achieve high agency and rapid iterations, with AI and Machine Learning driving our product offerings. Our globally distributed team is dedicated to building efficient systems that prioritize speed and reliability.As a Senior Backend Engineer within our Detection team, you will be vital in developing, supporting, and maintaining the essential tools and services of the hCaptcha application that focus on detecting and verifying user interactions. You will collaborate closely with Security and Machine Learning engineers to continuously enhance hCaptcha’s functionalities, utilizing programming languages like JavaScript and Go to tackle global user challenges.Your role will also encompass practicing DevSecOps, ensuring security implementations, monitoring, automation, and the management of production systems around your code. As a customer-centric organization, you will engage directly with both enterprise customers and startups, collaborating with our product, customer success, and sales teams.

Role Overview The Learning Principal at Delivery Hero leads the design and delivery of learning and development programs. Based in Buenos Aires, this role shapes how employees across the company build skills and grow in their careers. What You Will Do Design engaging learning experiences for a global workforce Work closely with teams from different departments to create training programs that address a range of employee needs Help ensure employees have the skills to succeed and adapt as the company evolves

Toloka AI seeks a Computer Science Specialist with advanced Python skills to support AI projects from Buenos Aires, Argentina. This remote position centers on developing and improving artificial intelligence systems and data processing solutions. Key responsibilities Contribute technical expertise to AI-focused projects Work with Python to build and refine data processing tools Collaborate with a team that values shared problem-solving and knowledge exchange Requirements Strong background in computer science Proficiency in Python programming Ability to work remotely with teams based in Buenos Aires

Join GoFundMe as a Senior Software Engineer, where you'll be at the forefront of empowering people to help others. In this pivotal role, you'll design and implement scalable software solutions that enhance user experiences on our platform. You'll collaborate with cross-functional teams, lead technical discussions, and contribute to our mission of social good.

Role Overview GoFundMe is hiring a Senior Data Engineer in Buenos Aires, Argentina. This role focuses on building and maintaining the data systems that power the company’s crowdfunding platform. The Senior Data Engineer will help design, implement, and support data pipelines and infrastructure that drive key decisions across the business. What You Will Do Shape and refine data architecture to meet evolving business needs Design, build, and maintain data pipelines for reliable data flow Support data-driven decision-making by ensuring data quality and accessibility This work directly supports GoFundMe’s mission to empower people through crowdfunding.