Mid-Level Data Engineer at SunnyData | Mexico

At SunnyData, we are dedicated to empowering businesses by constructing highly scalable architectures and robust data engineering pipelines. Our focus is on simplifying data consumption and developing advanced ML and AI applications that yield exceptional business results. As a Senior Machine Learning Engineer, you will spearhead intricate data projects, devise predictive models, and implement scalable machine learning solutions. Collaborating with cross-functional teams, including engineering, product, and analytics, you will extract actionable insights that influence critical business strategies.Your ImpactLead the design, development, and deployment of innovative machine learning models.Utilize large, complex datasets to derive valuable insights and construct predictive analytics pipelines.Partner with data engineers to design and enhance cloud-based data solutions.Convert business challenges into data-driven solutions using statistical modeling and machine learning methodologies.Streamline data workflows and model deployment processes leveraging cloud services and CI/CD tools.Guide junior data scientists and contribute to the establishment of best practices in model development.Effectively communicate findings and strategic insights to stakeholders and executive leadership.Desired QualificationsOver 5 years of experience in data science or machine learning roles.Expertise in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.Solid foundation in statistics, A/B testing, and machine learning algorithms.Proven experience in building and deploying models in production environments.Knowledge of MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).Exceptional communication and leadership abilities.Preferred QualificationsExperience with big data tools (Spark, EMR).Familiarity with containerization (Docker, ECS, EKS) and serverless architecture.EducationBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.

At SunnyData, we are dedicated to guiding our clients on their data journey, enabling them to harness the power of data for their business success. We believe that a robust foundation is essential for achieving exceptional data-driven outcomes, which include highly scalable architectures, resilient data engineering pipelines, user-friendly data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. As a Senior Data Engineer, you will play an essential role in this transformative journey. You will collaborate directly with internal teams and clients to design, develop, and implement data solutions that capture, analyze, transform, and leverage data to facilitate insights in AI, ML, and Business Intelligence.The Impact You Will HaveContribute to a team focused on addressing the data engineering needs of both new and existing clients.Advise clients on optimal technical decisions to meet their objectives.Manage multiple client accounts, tracking and reporting on their progress effectively.Design, build, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data quality enhancements.Evaluate data sources to assess their value and recommend inclusion in analytical processes.Incorporate essential data management practices, including data governance, security, and quality.Collaborate within and across teams to support successful delivery and educate users on data products and analytics environments.Conduct data and system analysis to identify defects and resolve incidents of moderate complexity.Test data movement, transformation code, and data components rigorously.What We Look ForA minimum of 5 years of relevant experience in data engineering and data product development.Proficiency in one or more of the following technologies:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)A solid grasp of the complete data analytics workflow.A proven track record demonstrating domain expertise and the ability to comprehend technical requirements effectively.

Join SunnyData, a premier partner of Databricks, dedicated to delivering innovative solutions that empower our clients through scalable architecture, efficient data engineering pipelines, and cutting-edge machine learning and AI applications. As a Senior Fullstack Developer, you will be an integral part of a dynamic, cross-functional team, utilizing your expertise and creativity to develop sophisticated, scalable systems. Collaborate in a fast-paced environment, overcoming challenges while adhering to best engineering practices.Your Contributions Will Include:Developing outstanding products by leveraging teamwork, creativity, and a passion for solving complex problems.Promoting sustainable engineering methodologies, such as Test-Driven Development (TDD) and Continuous Integration/Continuous Deployment (CI/CD).Utilizing your solid technical foundations across a modern technology stack including Python, JavaScript/TypeScript, RESTful APIs, Angular, React, Svelte, Express, Docker, and Cloud platforms (AWS or Azure).Collaborating closely with UI/UX designers to transform innovative concepts into user-friendly and technically sound data solutions.

About SunnyData: At SunnyData, a prominent partner in Databricks technology, we are committed to enabling our clients with scalable architectures, efficient data engineering pipelines, and innovative applications in machine learning (ML) and artificial intelligence (AI). As a Solutions Architect, you will play a crucial role in ensuring customer success through both technical execution and pre-sales assistance.Your Impact:Customer Engagement: Act as a trusted advisor, helping clients navigate their data engineering and architecture needs, particularly with Databricks solutions. Your efforts will be evenly split between billable projects and pre-sales activities.Technical Leadership: Design, build, and implement data solutions that effectively capture, transform, and utilize data to bolster AI, ML, and business intelligence initiatives.Pre-Sales Support: Partner with sales teams to showcase technical solutions to potential clients, illustrating the value of SunnyData's offerings.Project Management: Oversee multiple customer accounts, ensuring timely delivery of solutions and effectively tracking progress to communicate outcomes.Solution Architecture: Develop data solutions while adhering to best practices in data governance, security, and quality assurance.Data Evaluation: Assess data sources for their potential value and recommend strategies for data inclusion to enhance analytical processes.Cross-Functional Leadership: Lead internal teams, providing guidance and mentorship to project teams, while educating end users on data products and analytic environments.Problem Solving: Conduct system analyses, identify and rectify data and system defects, and implement necessary corrections.Quality Assurance: Validate data movements, transformation code, and data components to ensure accuracy and reliability.

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.

As a Senior Business Analyst at Sunnydata, you will play a pivotal role in driving strategic initiatives and providing critical insights to propel our business forward. Your analytical skills will be put to the test as you work with cross-functional teams to identify opportunities for improvement and develop data-driven solutions that enhance operational efficiency.

Join our dynamic team at rehire as a Senior Machine Learning Engineer specializing in MLOps and Computer Vision. In this pivotal role, you will leverage your expertise in machine learning to develop and deploy innovative solutions that enhance our product offerings. You will work closely with cross-functional teams to design scalable ML systems and contribute to cutting-edge projects that impact our customers worldwide.

Join Our Innovative Team as a Machine Learning/AI Engineer!At Lingarogroup, we are at the forefront of technological advancement, seeking a passionate Machine Learning and Artificial Intelligence Engineer to help us shape the future of our projects. You will work closely with a talented team in the CC DS&AI department, driving cutting-edge AI solutions that enhance our product offerings.

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.

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.

Join Arrive Logistics as a Senior Machine Learning Operations Engineer and take the lead in optimizing our machine learning infrastructure. You will work closely with cross-functional teams to deploy and maintain machine learning models that drive our business success. This role requires a deep understanding of machine learning operations (MLOps), robust coding skills, and a passion for data-driven decision-making.

At EPAM NEORIS, we are a Digital Accelerator with 20 years of experience partnering with some of the largest companies worldwide. Our multicultural startup culture, comprised of over 4,000 professionals in 11 countries, fosters innovation and continuous learning to deliver high-value solutions for our clients.We are currently seeking a Senior Data Scientist - AI.Main Responsibilities:• Design and develop advanced Machine Learning and Deep Learning models.• Analyze large volumes of structured and unstructured data to generate valuable insights.• Implement data pipelines and deploy models on Azure.• Apply best practices of MLOps (CI/CD, versioning, monitoring).• Evaluate and optimize model performance using robust metrics.• Build executive dashboards to communicate results.• Translate technical solutions into business impact for stakeholders.• Collaborate with multidisciplinary teams using agile methodologies.

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.

ALTEN México is seeking a Senior Ariba Consultant (Certified) to join our dynamic team immediately for an exciting project. The ideal candidate will possess robust experience in implementing Ariba Strategic Sourcing (Sourcing, SLP, Contracts) and Ariba Network. This role requires strong technical skills for configuration and functional validation, as well as the ability to collaborate effectively within multidisciplinary teams in fast-paced environments.Main ResponsibilitiesDevelop functional designs, workbooks, and technical documentation.Configure and validate features of Ariba Strategic Sourcing (Sourcing, SLP, Contracts) and Ariba Network.Conduct testing and provide support during production releases.Document processes and ensure quality assurance in functional deliverables.Collaborate with internal IT and business teams to ensure proper implementation of solutions.

ALTEN Mexico is a proud subsidiary of the ALTEN Group, an internationally recognized leader in engineering and technology consulting.At ALTEN Mexico, we are at the forefront of engineering innovation, providing cutting-edge solutions for a diverse range of sectors, including Automotive, Energy, Aeronautics, Banking & Insurance, Telecom & Multimedia, and Rail. Our talented team of over 250 professionals is dedicated to excellence in project design development, testing, programming, implementation, and manufacturing.We are on the lookout for an Interiors Design and Release Engineer who will take charge of component and system level design, development, validation, timing, and production release specifically for the COCKPIT area.This role entails full ownership of the early validation process and functionality of components, ensuring that all system and vehicle level functional objectives are achieved. You will also conduct component and system level validation testing.The responsibilities also include overseeing the comprehensive release of components, which involves managing the Bill of Materials, creating CAD drawings, conducting validation testing at various levels, handling engineering change management, and developing Design Verification Plans. Further duties will consist of issuing engineering change notices, reviewing and approving FMEAs, DVP&Rs, supporting prototype builds, resolving issues, and providing launch production support.

Wizeline is a global technology solutions provider specializing in AI-driven digital products and platforms. The team works closely with clients to help them extract value from data and artificial intelligence, enabling organizations to adapt and move quickly. Growth, collaboration, and meaningful impact are central to the company’s culture. Role overview This Data Scientist - Machine Learning Engineering position is based in Ciudad de Mexico. The role focuses on building and maintaining machine learning infrastructure and deploying advanced models. Projects span a range of AI solutions, including forecasting engines, optimization, and natural language processing. The work takes place in a collaborative environment that values growth and teamwork. Main responsibilities Design and implement machine learning infrastructure, covering pipelines, model serving, monitoring, and governance. Lead the deployment of models for forecasting, optimization, and NLP applications. Develop CI/CD workflows using Azure Pipelines, MLflow, and Databricks. Set up model registry, versioning, lineage, and ensure audit compliance. Build monitoring systems to detect model drift and automate retraining processes. Mentor MLOps engineers and support integration across different platforms. Promote MLOps best practices, with a focus on containerization and observability. Requirements 5–8+ years of experience in ML Engineering, MLOps, or managing large-scale machine learning systems. Strong knowledge of Spark, Azure Databricks, MLflow, Kubernetes, and Docker. Experience deploying machine learning solutions at the enterprise level, with emphasis on audit and monitoring. Understanding of hybrid and multi-cloud infrastructure. Preferred qualifications Experience using AI tools for drafting, analysis, research, and process automation, with the ability to advise on AI adoption and workflow improvements. Leadership experience in ML platforms or DevOps teams. Work with feature stores and feature engineering; familiarity with AutoML and H2O is a plus. Benefits Work that creates real impact Support for ongoing professional development Flexible, collaborative workplace culture Opportunities for global growth

Join ALTEN Mexico as a Junior Java Developer and become an integral part of our team dedicated to engineering and technology solutions. You will engage in innovative projects across diverse industries, including Automotive, Energy, Aeronautics, Banking, Telecommunications, and more.In this role, you will be accountable for the development, integration, and modernization of software tools essential for validation and automation processes.The position necessitates a strong technical grasp of Java, backend architectures, integration with DLLs (JNI/JNA), validation flow automation, communication between heterogeneous tools, and connection with NI or dSPACE platforms. Additionally, you will ensure delivery quality by adhering to best development practices, testing, documentation, and traceability via GitHub and Rally.

Kiewit Mexico, a renowned subsidiary of one of North America's largest engineering and construction firms, specializes in delivering top-notch engineering, procurement, and construction management services. Our expertise spans various sectors, including energy, oil, gas, chemicals, terminals, marine works, and mining.As a Senior Structural Engineer, you will play a vital role in shaping our projects through innovative design and engineering solutions.

ALTEN Mexico is on the lookout for a talented Senior Frontend Web Developer specializing in React. The ideal candidate will possess extensive experience in crafting modern, efficient, secure, and maintainable web applications, translating product vision into engaging and user-friendly web experiences for clients in the financial sector.Main ResponsibilitiesDevelop web applications using React, ensuring performance, security, and maintainability.Convert requirements and designs into functional interfaces that enhance user experience.Deliver software adhering to quality standards and best practices.