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.

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.

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!

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.

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 Platform (GCP). The successful candidate will be well-versed in Google AI tools, including Vertex AI, Contact Center AI (CCAI), and Document AI (DocAI).Key Responsibilities:Design and implement AI tools on GCP that cater to real-world user needs.Leverage Google AI tools like Vertex AI, CCAI, and DocAI to develop and enhance AI models.Work collaboratively with cross-functional teams to gather user requirements and translate them into technical specifications.Conduct data preprocessing, feature engineering, and oversee model training and evaluation.Deploy, monitor, and maintain AI models in production settings.Develop clean, maintainable, and efficient code.Keep abreast of the latest trends and advancements in AI and machine learning technologies.

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.

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.

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.

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.

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.

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 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.

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.

At SunnyData, our mission is to empower our clients throughout their data journey, enabling them to drive their business success. We firmly believe that a strong foundational framework is essential for achieving exceptional data-driven outcomes, encompassing highly scalable architectures, resilient data engineering pipelines, straightforward data consumption layers, and precise Machine Learning (ML) and Artificial Intelligence (AI) applications. As a Senior Data Engineer, you will be pivotal in enhancing this customer journey. You will collaborate closely with internal teams and clients to conceptualize, construct, and implement data solutions that capture, analyze, transform, and leverage data to facilitate insights in AI, ML, and Business Intelligence.Your ImpactJoin a dedicated team committed to assisting new and existing clients with their data engineering requirements.Guide clients in making optimal technical decisions to achieve their objectives.Engage with multiple client accounts, tracking and reporting their progress effectively.Design, develop, and operationalize complex data solutions, resolving issues, applying transformations, and recommending data cleansing and quality improvement strategies.Evaluate data sources to assess their value and advocate for their inclusion in analytical workflows.Implement core data management practices encompassing data governance, data security, and data quality.Collaborate across teams to facilitate delivery and educate end users on data products and analytic environments.Conduct data and systems analysis, assessment, and resolution for defects and incidents of moderate complexity, addressing issues as needed.Test data movement, transformation code, and data components to ensure reliability.QualificationsA minimum of 5 years of relevant experience in data engineering and data product development.Proficient in one or more of the following:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, Hyperparameter Optimization)Data Warehousing tools (e.g., SQL, OLTP/OLAP/DSS)Strong comprehension of the complete data analytics workflow.Proven track record of domain expertise with the ability to understand technical concepts and apply them effectively.

About CookUnity:In a world where food has often sacrificed its essence for convenience, CookUnity emerged in 2018 as a revolutionary platform, reconnecting people to the authentic flavors crafted by talented chefs. Our mission is to deliver 50 million meals each year, bringing the finest culinary creations directly to homes across the country, ensuring every dish is fresh, ready-to-eat, and made with passion.But we’re not stopping there. CookUnity is evolving beyond meal delivery into a dynamic marketplace, dedicated to our singular mission: empowering chefs to nourish the world.If this mission resonates with you, we invite you to explore this exciting opportunity.About the Team:The Personalization Squad is at the forefront of our web application’s technical direction, focusing on enhancing customer recommendations through advanced machine learning models. This role is pivotal, influencing our customers’ weekly interactions with over 300 menu items, ensuring they have a seamless and enjoyable experience.The Role:As a Senior Full Stack Engineer, you will be integral to the Personalization Squad, reporting directly to the Engineering Manager. You will collaborate closely with a Product Manager and designer to shape product strategy, define objectives and key results (OKRs), and map out the development roadmap. Your role will also involve regular communication with senior management, providing updates on project status, risk assessments, and broader strategic initiatives.This position offers a unique opportunity to make a significant impact within our team and organization, utilizing your expertise to drive product growth and success.This is our current tech stack:Languages: Kotlin, JavaScript, TypeScript, PythonFrameworks: ReactJS, Redux, Apollo GraphQL, NestJS, NextJSInfrastructure: AWS, Kubernetes, Terraform, MySQL, PostgreSQL, Snowflake, Redis, DataDog, SegmentAgile Methodology