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Qualifications
Strong background in machine learning and artificial intelligence. Experience with generative models and large language models. Proficiency in Python and relevant machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with data preprocessing and analysis. Excellent problem-solving skills and ability to work in a team environment. Strong communication skills to convey complex technical information.
About the job
Join Silver as a Machine Learning Engineer focusing on Generative AI and Large Language Models (LLMs). In this role, you will leverage cutting-edge technologies to develop innovative AI solutions that drive our products and services forward. You will be part of a dynamic team dedicated to pushing the boundaries of AI capabilities.
Your expertise in machine learning will be crucial in creating algorithms that enhance our offerings and improve user experiences. You will collaborate with cross-functional teams to implement models and solutions that meet our business objectives.
About Silver
Silver is a forward-thinking company committed to innovation and excellence in the field of artificial intelligence. Our team is composed of talented professionals who are passionate about leveraging technology to create impactful solutions. We foster an inclusive and collaborative work environment where ideas can flourish.
Join our dynamic team at Alabama Solutions, where we are committed to harnessing the power of artificial intelligence, cloud technologies, and contemporary development practices to create innovative applications.We are on the lookout for a skilled Machine Learning & AI Engineer who will design and develop AI tools for real users utilizing the Google Cloud Pl…
Join Silver as a Machine Learning Engineer focusing on Generative AI and Large Language Models (LLMs). In this role, you will leverage cutting-edge technologies to develop innovative AI solutions that drive our products and services forward. You will be part of a dynamic team dedicated to pushing the boundaries of AI capabilities.Your expertise in machine learning will be crucial in creating algorithms that enhance our offerings and improve user experiences. You will collaborate with cross-functional teams to implement models and solutions that meet our business objectives.
Join our dynamic team as a Senior Machine Learning Engineer at trueml, where you will play a pivotal role in designing and implementing advanced machine learning algorithms. This remote position allows you to collaborate with experts across the globe while contributing to innovative projects that push the boundaries of technology.
Join Our Innovative Startup Focused on Data Products and Machine Learning Development! Mutt Data is an agile startup dedicated to developing groundbreaking systems utilizing the latest Big Data and Machine Learning technologies.We are in search of a Lead Machine Learning Engineer to elevate our capabilities and drive innovative solutions. If you're passionate about data and technology, we want to hear from you!
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 SunnyData, we are dedicated to empowering our clients by constructing highly scalable architectures, robust data engineering pipelines, and user-friendly data consumption layers. Our primary goal is to develop advanced machine learning and AI applications that fuel business growth and deliver remarkable outcomes. As a Senior Machine Learning Engineer, you will spearhead intricate data initiatives, create predictive models, and implement scalable machine learning solutions. You will collaborate closely with engineering, product, and analytics teams to generate actionable insights and impact essential business decisions.The Impact You Will HaveLead the design, development, and deployment of innovative machine learning models.Analyze large and complex datasets to derive valuable insights and construct predictive analytics pipelines.Partner with data engineers to design and optimize cloud-based data solutions.Transform business challenges into data-driven solutions utilizing statistical modeling and machine learning techniques.Automate data workflows and model deployment processes leveraging cloud services and CI/CD tools.Mentor junior data scientists and contribute to establishing best practices in model development and operationalization.Effectively communicate findings and strategic recommendations to stakeholders and executive leadership.What We Look ForA minimum of 5 years of experience in data science or machine learning roles.Proficient in Python (including libraries such as pandas, scikit-learn, PyTorch or TensorFlow) and SQL.Solid foundation in statistics, A/B testing, and machine learning algorithms.Hands-on experience in building and deploying models in production environments.Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).Exceptional communication and leadership abilities.Preferred QualificationsExperience with big data tools such as Spark and EMR.Knowledge of containerization technologies (Docker, ECS, EKS) and serverless architecture.EducationA Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.
Full-time|On-site|Buenos Aires, Buenos Aires, Argentina
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.
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.
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.
Full-time|Remote|Remote — Buenos Aires, Buenos Aires, Argentina
Intuition Machines leverages cutting-edge AI and machine learning technologies to develop robust enterprise security solutions. Our innovations impact systems utilized by hundreds of millions globally, supported by a diverse team spread across various locations. You might recognize our flagship product, the hCaptcha security suite. Our operational philosophy emphasizes low overhead costs, small team dynamics, and a commitment to rapid iteration.As the Director of Engineering, you will play a critical role in shaping our engineering efforts. You are expected to be a technical authority in one or more domains, including distributed systems, online security, and machine learning.Your key responsibilities will include building and leading capable teams, ensuring engineers are productive, and delivering solutions that meet customer requirements while adhering to high standards of code quality, security, and service availability.Key Responsibilities:Recruit, motivate, and manage highly skilled engineering teams dedicated to scaling online security and machine learning products.Act as an intermediary among product, engineering, customer, and sales teams to effectively translate complex business needs and technological solutions into functional products.Uphold high software quality and assurance standards while ensuring development speed, as availability is crucial to our success.Define, implement, and oversee automation and instrumentation strategies to enhance observability and facilitate automated troubleshooting.Collaborate with sales and product teams to develop go-to-market strategies for new offerings, supervise architectural design, enhance client acquisition capabilities, and optimize delivery processes.Establish effective hiring and onboarding practices.Qualifications:A minimum of 5 years of hands-on experience leading engineering teams of 20-60 members, with a solid foundation in security products and machine learning.Knowledge of high-availability and high-security development methodologies, proficient in Python, NodeJS, and Go or Rust.Proven success in DevOps and systems integration, employing agile development practices, meeting stringent SLAs, and utilizing test-driven design in large-scale internet-facing systems.Understanding of distributed systems design on orchestration platforms such as Kubernetes, including concepts like queue-first architectures and sharding.Excellent interpersonal skills with the ability to communicate effectively with both technical and non-technical stakeholders.Proven expertise in architecture and business/product need alignment, including requirement gathering, problem-solving, and devising optimal solutions based on needs, timelines, and resources.
Full-time|Remote|Remote — Buenos Aires, Buenos Aires, Argentina
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!
Join Our Innovative Data Products and Machine Learning Development Startup! Mutt Data is a forward-thinking startup dedicated to developing pioneering systems that leverage the latest advancements in Big Data and Machine Learning technologies.We are on the lookout for a Machine Learning Engineer to elevate our technical capabilities. If you are passionate about data and thrive in a dynamic environment, we would love to hear from you!
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.
Full-time|On-site|Buenos Aires, Buenos Aires, Argentina
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.
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.
Valtech is looking for a Senior Agentic AI Engineer to help advance digital experiences for major global brands. This fully remote role is based in Argentina. Role overview This position centers on developing digital solutions that push boundaries and improve customer experiences. The Senior Agentic AI Engineer will play a key part in shaping how industries use technology to engage users and deliver value. What you will do Design and implement AI-driven solutions that address real-world business challenges Collaborate with teams to create digital experiences that stand out in the market Contribute ideas and technical expertise to projects that aim to transform client industries Work culture Valtech emphasizes growth and learning, with a focus on collaboration and meaningful contributions. The company supports professional development and encourages team members to challenge existing approaches in pursuit of better outcomes.
Join our innovative team at frontcareers as a Senior Applied AI Engineer, where you will leverage cutting-edge artificial intelligence technologies to drive impactful solutions. This remote position allows you to collaborate with a diverse group of experts in the field of AI, contributing to projects that redefine industries.
Join anyone-ai as a Biology AI Training Specialist and immerse yourself in the innovative world of artificial intelligence applied to biology. In this fully remote role, you will collaborate with a diverse team to enhance AI models, ensuring they are well-trained and effective in biological applications.Your expertise will contribute to the development of cutting-edge AI solutions that can transform the field of biology. If you are passionate about AI and have a strong background in biology, we want to hear from you!
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.
Role Overview anyone-ai develops specialized STEM training data for advanced AI models. The team’s work strengthens model reasoning in technical fields and supports training and evaluation for leading AI labs. This fully remote position is open to candidates based in Argentina. The AI Training Specialist in Computer Science creates challenging, deterministic problems with clear, verifiable solutions. These problems help advance AI systems’ ability to reason and solve complex tasks. What You Will Do Design complex problems across areas such as algorithms, systems, theory, machine learning, or computational methods. Develop tasks that require both coding and deep reasoning, aimed at testing the limits of modern AI systems. Write thorough, validated solutions, including programmatic approaches when needed. Build multi-part challenges that reflect real-world technical and research processes. Ensure all problems are deterministic, rigorous, and reproducible. Communicate ideas and solutions clearly in English. Required Qualifications Bachelor’s, Master’s, or PhD in Computer Science or a closely related field. Experience in research or industry focused on computational problem-solving. Strong Python skills; knowledge of scientific or machine learning tools is a plus. Solid grasp of algorithms, computational complexity, numerical methods, and software workflows. Ability to create original, challenging problems that go beyond standard interview questions. Excellent written communication and attention to detail. Preferred Qualifications Background in machine learning, formal methods, distributed systems, optimization, or scientific computing. Experience with benchmarking, technical evaluations, or assessment design.
