Machine Learning and Artificial Intelligence Engineer

ALTEN Mexico is hiring a Senior Data Scientist and Machine Learning Engineer for its remote team in Mexico City. As part of the ALTEN Group, the company draws on more than 30 years of experience in engineering and technology, serving clients across industries such as Automotive, Energy, Aeronautics, Banking & Insurance, Telecom & Multimedia, and Rail. Role overview This position centers on creating and deploying data-driven solutions. The Senior Data Scientist and Machine Learning Engineer will work closely with colleagues from various fields to tackle complex business challenges through advanced data science and machine learning methods. Collaboration Expect frequent interaction with multidisciplinary teams, combining technical expertise with business insight to deliver practical results for clients in several sectors.

Join Nagarro as a Senior Staff Engineer and Senior Data Scientist, where you will play a crucial role in leveraging data to drive innovation and transform business strategies. You will work alongside a team of talented engineers and data scientists, leading projects that utilize advanced analytics and machine learning techniques to deliver actionable insights.Your expertise will contribute to developing cutting-edge solutions that enhance our clients' performance and drive growth. Collaborate with cross-functional teams to identify opportunities for data-driven decision-making and help shape the future of our technological landscape.

About NeloNelo stands as a premier player in the consumer fintech and e-commerce sector in Mexico, boasting over $500 million in annualized GMV and exceeding $75 million in annual revenue. Our vision is to enhance the purchasing power of consumers throughout Latin America, achieving this through the development of a modern alternative to traditional credit cards.Having successfully secured more than $40 million in venture capital from notable investors such as Homebrew, Two Sigma Ventures, and Susa Ventures, Nelo also benefits from a substantial $100 million asset credit facility provided by Victory Park Capital.Our nimble team consists of seasoned professionals hailing from leading technology firms like Uber, Amazon, Rappi, and DiDi. We take pride in our speed, intellectual rigor, and operational efficiency.Nelo operates offices in both Mexico City and New York City.About the RoleWe are in search of a Senior Data Engineer to architect, construct, and manage the foundational data platform that underpins analytics, machine learning, and strategic decision-making at Nelo. This dynamic, hands-on role is ideal for an experienced engineer who thrives throughout the entire data lifecycle—from ingestion and transformation to ensuring reliability, scalability, and enabling machine learning.In this role, you will collaborate closely with teams across Analytics, Product, Engineering, Marketing, Risk, and Machine Learning to guarantee that our data infrastructure remains robust, scalable, and user-friendly as Nelo continues its growth trajectory.Key ResponsibilitiesOwn and enhance the data platform: Create, develop, and sustain scalable, dependable data pipelines and datasets that fuel analytics, reporting, and machine learning applications across the organization.Construct and manage ETL/ELT pipelines: Design production-quality pipelines that aggregate data from transactional systems, third-party providers, and event streams into our data warehouse and feature store.Empower analytics and business teams: Collaborate with Data Analytics and stakeholders to ensure that data is well-structured, documented, and accessible for self-service analysis.Facilitate machine learning workflows: Develop and maintain feature pipelines and feature stores that support model training, validation, and both online and offline inference.Guarantee data integrity and reliability: Implement data quality checks, monitoring, alerting, and SLAs to maintain trust in our data products.

Role Overview Nagarro is hiring a Senior Staff Engineer - Senior Data Scientist in Mexico City. This position focuses on using data to inform business decisions and improve strategies. The role involves advanced analytics and machine learning to address challenging problems and support data-driven initiatives.

About Arkham TechnologiesArkham Technologies is a pioneering Data & AI Platform that offers a comprehensive suite of robust tools aimed at unifying your data and applying advanced Machine Learning and Generative AI models to tackle your most intricate operational challenges. Our platform is trusted by industry leaders, including Circle K, Mexico Infrastructure Partners, and Televisa Editorial, to streamline data access, automate complex workflows, and enhance operational efficiency. By leveraging our platform and implementation services, clients benefit from significant time savings, cost reductions, and a solid foundation for sustainable Data and AI transformation.About the RoleWe are seeking a highly skilled Senior Data Engineer to take ownership of our high-performance Data Platform, built on the innovative Lakehouse architecture. In this pivotal role, you will engage with cutting-edge technologies such as Apache Spark, Trino, and Delta Lake, ensuring data governance and interoperability across various platforms. You will significantly influence our data infrastructure, managing the entire data lifecycle from ingestion through transformation to activation.

About Us At SimplePractice, we are committed to enhancing access to high-quality healthcare by providing health and wellness professionals with comprehensive tools designed for success in private practice. With over 250,000 providers relying on SimplePractice, our state-of-the-art software offers powerful solutions that streamline every aspect of practice management. From administrative tasks to clinical care, our suite of innovative tools works harmoniously to alleviate the administrative load, enabling solo and small group practitioners to flourish alongside their clients. Awarded the title of Best Practice Management Solution Provider by MedTech Breakthrough in 2024 and recognized in the Digital Health Awards in 2023, SimplePractice is dedicated to shaping the future of health technology. The Role Join our team focused on empowering clinicians through data-driven innovations. We merge advanced data science with practical engineering to create systems that enhance daily workflows, making them more efficient and insightful. If you thrive on solving complex challenges and transforming data into impactful results, you will find a dynamic and supportive environment here. As a Machine Learning Engineer specializing in Applied AI, you will play a crucial role in developing product features that enable clinicians to deliver effective and efficient patient care. Your responsibilities will include designing experiments, constructing robust models, fine-tuning prompts, implementing LLM evaluations, and guiding projects from conception to prototype and production in collaboration with product, engineering, and DevOps teams. Additionally, you will contribute significantly to the strategic planning of our ML platform. We foster a culture of mentorship, open dialogue, and exploration of AI’s potential in real-world healthcare applications. Whether you are optimizing a model, sharing insights with stakeholders, or brainstorming new product features, your contributions will have a direct and substantial impact. Responsibilities AI Prototyping and Development Create AI workflows, customize data pipelines, refine models, and design prompts to bring ideas to prototype. Collaborate with subject matter experts to establish evaluation criteria for AI workflows, ensuring quality, safety, and reliability of outputs. Partner with engineering teams to integrate AI workflows into production environments. Develop and configure AI performance monitoring systems with appropriate reporting and alert systems. Optimize and sustain AI workflows for performance, dependability, and long-term scalability. Research Begin with the Job-to-be-done framework, deeply exploring the domain to understand challenges from the user’s perspective.

At Jellyfish, we value the unique qualities of each individual as our greatest asset. Our commitment lies in empowering every team member to realize their full potential and bring their distinctive viewpoints to our collaborative workspace. We are proud to be an equal opportunity employer, firmly believing that a diverse and inclusive workforce fuels innovation and leads to superior solutions. All qualified candidates will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal attributes.Jellyfish is a pioneering global digital marketing agency, blending technology enthusiasts, creative thinkers, and data experts to empower our clients on their digital journeys. Our dedication to embracing diverse perspectives drives our innovative strategies that challenge conventional approaches, reinvent media activation, and craft compelling narratives for our clients and their audiences. Join us in shaping a future where business growth and personal fulfillment go hand in hand.Job OverviewAs a Senior Data Scientist in Jellyfish's Cloud and Martech practice, you will play a pivotal role in designing and delivering advanced measurement, modeling, and predictive analytics solutions that enhance client performance and guide strategic decision-making. Collaborating across various teams, you will convert complex data sets into actionable insights, develop scalable analytical frameworks, and employ cutting-edge data science techniques to tackle real marketing and customer experience challenges.

ALTEN México is seeking a skilled Mid-Level Data & Analytics Engineer with a focus on Machine Learning. The ideal candidate will possess expertise in standardizing models, preparing execution environments, versioning, and deploying solutions on Google Cloud Platform (GCP) while adhering to best practices in MLOps. Responsibilities include documenting, optimizing, and ensuring the portability and scalability of models within the cloud data ecosystem.Main ResponsibilitiesCollaborate on standardizing code structure, notebooks, and configuration management.Manage versioning of dependencies, models, and artifacts.Assist in preparing execution environments (Docker, requirements, configurations).Adapt models for GCP services (Vertex AI, Cloud Run).Create clear documentation on model execution, pipelines, and deployment procedures.Propose technical improvements based on prior experience.Design and implement machine learning pipelines tailored to the GCP ecosystem.Ensure scalability for varying data volumes or request loads.

Join Arkham as a Senior Software Engineer (Backend)About ArkhamArkham Technologies is at the forefront of the Data & AI revolution, offering a sophisticated platform designed to unify data and leverage advanced Machine Learning and Generative AI models to tackle the most intricate operational challenges faced by businesses today.Our platform is trusted by industry leaders such as Circle K, Mexico Infrastructure Partners, and Televisa Editorial to facilitate seamless access to valuable data and insights, automate complex processes, and enhance operational efficiency. Through our innovative platform and implementation services, we empower our clients to save time, reduce costs, and establish a robust foundation for enduring Data and AI transformation.About the RoleWe are seeking a Senior Software Engineer with a strong backend emphasis to join our team and contribute to the design and construction of core platform services that drive Arkham’s AI Operating System. This position is perfect for engineers who thrive on challenges associated with high-performance systems, enjoy tackling complex distributed problems, and are adept at creating scalable microservices architectures that support swift and secure data and AI workflows.As a pivotal member of our team, you will be responsible for designing systems that manage substantial data processing, facilitate real-time event-driven communication, and support mission-critical AI and analytics operations for our clients. This role offers a hands-on, high-impact opportunity that combines technical expertise with product-oriented thinking.

Join ALTEN Mexico as a Mid-Level Python Developer! We are seeking a skilled Data Scientist with a solid background in developing models using Python. The ideal candidate will be adept at technical documentation, data validation, and standardizing models for deployment in production environments. You will work closely with Machine Learning Engineering and MLOps teams to prepare and ensure model reproducibility across different settings.Main ResponsibilitiesIdentify, document, and map model inputs (sources, formats, frequency) and expected outputs.Document feature construction processes.Record technical dependencies (libraries, versions, configurations).Assist in standardizing and documenting technical aspects of models for production deployment.Collaborate with ML/MLOps engineers to prepare models for deployment in GCP.Apply data validation methodologies and consistency testing.Identify, analyze, and document result discrepancies and trace root causes.Propose technical adjustments to ensure reproducibility and consistency across environments.Create clear and reusable documentation for model maintenance.

jobgether is hiring a Senior Data Engineer based in Mexico. This position focuses on designing and implementing data solutions that support business goals and improve how the company uses information. Role overview The Senior Data Engineer will work closely with colleagues from different teams to understand data needs, build reliable data pipelines, and maintain high data quality across multiple platforms. The work involves analyzing requirements, optimizing workflows, and supporting the development of advanced analytics. What you will do Design and implement data architectures that meet business and technical requirements Develop and maintain efficient data pipelines Collaborate with cross-functional teams to gather and clarify data needs Monitor and improve data quality across systems Contribute to projects that advance the company’s use of analytics Requirements Experience in data engineering and architecture Ability to build and optimize data workflows Strong analytical and problem-solving skills Comfort working with teams across different functions

Wizeline creates AI-driven digital products and platforms for clients in a range of industries. Teams here partner closely with clients, using data and artificial intelligence to accelerate product launches and support business transformation. The company emphasizes growth, collaboration, and tangible impact. People who bring fresh ideas and a drive to innovate tend to thrive. Role overview The Data Scientist - Experimentation & Causal Inference position centers on applying data science skills in an environment that values AI and measurable outcomes. This role focuses on experimentation and understanding causal relationships, supporting projects where data and analytics inform decision-making. What you will do Work on projects that use experimentation and causal inference to drive business results Apply data science methods in collaboration with multidisciplinary teams Contribute to AI-focused solutions for clients Who thrives here People who enjoy working with data, value collaboration, and want to see their work make a measurable difference will find this role rewarding. An interest in AI and a focus on practical results are important in this setting.

About SimplePractice SimplePractice is headquartered in Los Angeles, California, with team members based throughout the United States, the Dominican Republic, Mexico City, and Ukraine. The company’s mission centers on improving access to quality healthcare. SimplePractice supports wellness and healthcare professionals by providing essential tools for success in private practice. More than 250,000 professionals use SimplePractice’s software to manage their businesses. The platform streamlines administrative and clinical workflows, helping solo practitioners and small groups reduce paperwork and focus on client care. SimplePractice has received recognition from MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and was honored by the Digital Health Awards in 2023. Our Culture Culture guides every aspect of work at SimplePractice, from serving clients to pursuing the company’s mission. Five core values shape daily interactions and decisions: Think big Take simplicity seriously Come as you are Act with humility Build on trust Responsibility and innovation are encouraged throughout the organization.

At Jellyfish, we celebrate the individuality of our team members as our most valuable asset. Our mission is to empower every employee to unlock their full potential, contributing unique viewpoints within our collaborative culture. As an equal opportunity employer, we are dedicated to fostering a diverse and inclusive workforce that drives innovation and yields superior solutions. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics.Jellyfish is a pioneering global digital marketing agency, a vibrant blend of technology enthusiasts, creative visionaries, and data specialists dedicated to guiding our clients through their digital endeavors. Our commitment to diverse viewpoints informs our innovative approaches, allowing us to challenge norms, redefine media engagement, and craft compelling narratives for our global clientele. Join us in shaping a future where business growth and personal satisfaction coexist harmoniously.Job OverviewAs a Data Scientist reporting to the Director of Data Science for Investment Analytics, you'll play a pivotal role in our Investment Analytics practice. You'll be instrumental in enhancing Jellyfish's Paid Media data applications, enabling us to drive expertise, enhance, and transform client solutions and services.In this role, you will spearhead complex data science initiatives, produce insightful multi-capability presentations, and take charge of advanced measurement and testing methodologies for our clients. Join us in our quest to achieve data-driven excellence!Your key responsibilities will include:Conducting data analyses to uncover hidden trends and delivering insights with actionable recommendations.Promoting the application of data science methodologies such as Geo-based Incrementality, Experiments, Media Mix Models, Causal Impact Studies, and other statistically robust testing approaches. Ensure these methodologies enhance campaign performance for existing clients, yielding tangible improvements and insights.Developing and implementing predictive models to optimize media performance, enhance customer experiences, and drive revenue growth.Collaborating with platform partners to expand the arsenal of mathematical techniques for Incrementality Testing, Media Mix Modelling, and Data Clean Rooms using both open-source and proprietary code to deliver exceptional client offerings.

About SimplePractice SimplePractice builds software that helps clinicians manage their private practices. Headquartered in Los Angeles, the company supports a distributed team across the United States, Dominican Republic, Mexico City, and Ukraine. Over 250,000 providers use SimplePractice’s tools to simplify administrative work and focus on delivering care. The platform has earned recognition, including the 2024 MedTech Breakthrough award for Best Practice Management Solution Provider and a 2023 Digital Health Award. Our Culture SimplePractice’s culture shapes how the team works and serves customers. Five core values guide daily decisions and interactions: Think big Value simplicity Embrace authenticity Act with humility Build on trust Team members contribute to a collaborative, supportive environment. Working at SimplePractice means connecting with colleagues across borders and participating in onsite events in both the US and Mexico. Role Overview: Senior Data Engineer (Hybrid, Mexico City) The Senior Data Engineer will lead improvements to SimplePractice’s data stack, with a focus on pipelines and platform infrastructure. This role involves designing and building systems that support product intelligence, financial reporting, and self-service analytics. Work will directly influence clinicians in small and mid-sized practices by providing actionable insights that help them run their businesses more efficiently. Analyzing data trends will support better decisions around client engagement and operational effectiveness. Within SimplePractice, this position supports executive reporting, revenue forecasting, product analytics, and AI evaluation. Collaboration with Data Analytics, Machine Learning, Product, and Engineering teams is central to the work, ensuring data becomes a first-class product across the company.

Tiger Analytics is at the forefront of leveraging AI and analytics to tackle some of the most challenging issues faced by organizations worldwide. We deliver customized solutions driven by data and technology for numerous Fortune 100 companies. With offices in various locations across the US, UK, India, and Singapore, we also boast a significant remote workforce that operates globally.As leaders in AI and analytics consulting within the retail and consumer packaged goods (CPG) sectors, more than 40% of our revenue stems from this rapidly expanding field. To enhance our capabilities, we are expanding our talent pool in this area.We are currently seeking a Principal Data Scientist who combines exceptional analytical skills with extensive knowledge of data science methodologies and practical experience in applying algorithms to address real-world business challenges.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic team at NielsenIQ. As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining robust data pipelines that drive our analytics and reporting capabilities. You will work closely with data scientists, analysts, and other stakeholders to ensure high-quality data is readily available to support business decisions.Your expertise in data architecture and engineering will help us enhance our data processing capabilities and ensure scalability and performance of our data solutions.

Join Truelogic as a Senior Data Engineer and take your career to new heights! In this pivotal role, you will be responsible for designing, implementing, and maintaining robust data pipelines and architectures that support our cutting-edge technology initiatives. Your expertise will drive data-driven decision-making and enhance our business intelligence capabilities.We are seeking a talented professional who thrives in a fast-paced environment and is passionate about big data technologies. You will work closely with cross-functional teams to optimize data flow and ensure data accuracy across various platforms.

We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic team at Truelogic. As a leader in the Mobility-as-a-Service sector, you will play a pivotal role in designing and implementing data-driven solutions that enhance our services and drive business growth.Your expertise in data architecture, ETL processes, and analytics will be essential in ensuring the integrity, availability, and efficiency of our data systems. You'll collaborate with cross-functional teams to translate business requirements into technical specifications and deliver scalable data solutions.