Remote Software Engineer Salary in Mexico

As a seasoned Data Scientist and Machine Learning Engineer with extensive experience architecting and leading the development of end-to-end AI and analytics solutions, I specialize in translating complex business problems into practical, scalable products. Throughout my career, I have successfully led diverse teams, driving innovation and fostering collaboration to deliver impactful results across various industries, including automotive, retail, finance, and media. My expertise spans developing sophisticated predictive models, advanced analytics, and real-time data solutions using state-of-the-art technologies and platforms such as AWS, Azure, Databricks, and IBM WatsonX. I excel in deploying robust machine learning models leveraging libraries and frameworks like TensorFlow, PyTorch, Prophet, XGBoost, and PySpark to deliver accurate forecasts, effective anomaly detection systems, and actionable insights. I have a strong track record in designing comprehensive data architectures and managing data engineering workflows, from initial data ingestion through ETL processes, to visualization and deployment in production environments. My proficiency in cloud infrastructure, big data technologies, and agile methodologies ensures streamlined project execution and efficient operational management. Passionate about innovation and committed to ethical AI, I continuously strive to build data-driven solutions that not only meet business objectives but also align with best practices and responsible use of technology.

PythonData ScienceSQLMachine learningPandasPyTorchDatabricksPyspark mllibAzureTensorFlowPower BITensorFlow.jsLinuxOracleETLData Engineering

Wide experience on software development from around 22 years, using different stack platforms, and playing roles such as: Software Architect, Technical Lead, Senior Software Development Engineer and Cloud Engineer. Currently focused on developing / building Distributed Systems using Windows Azure as main platform to deploy apps as Cloud Native Apps, and technologies like .NET Core / .NET 8.0 / C# On my last job I worked with Big Data Applications & Event Driven Architecture using technologies like Spark, Kafka, Spring Boot, Scala, Java, Open Shift over IBM Cloud, Kubernetes, DB2, New Relic, INSTANA, log DNA, Prometheus. I've worked as well with web applications and microservices architecture with technologies from open source stack such as: Python, Docker, Django, Flask, Javascript (Angular 8, Backbone.js), HTML 5, MongoDB, PostgreSQL, Elasticsearch, Kibana, Linux, bash, nginx, Apache 2, SAML (SSO), AWS (S3, Lambda, EC2), Git, Bitbucket, Jira, Jenkins. Other main technologies: .NET platform, Windows Azure, Ajax, REST, C#, ASP .NET, JS, XML, Patterns Design, Software Architecture, UML. Methodologies: Agile / SCRUM, RUP. In my current role at Microsoft, I built a couple of microservices because I am doing different migrations to Azure Cloud. So I refactored a part of some legacy .NET apps into a Golang REST API for better performance. Those microservices are running now in Azure App Services. Oriented to work for results, teamwork, push, leadership, highly motivated with new challenges. Willing to travel.

Software Development.NETSQLMicroservicesDocker & KubernetesKubernetes OperatorApache KafkaPythonAWSKubernetesCloud computingRESTful APISoftware architectureScalaJiraDockerApache SparkDB2 SQLTechnical program managementMongoDBPostgreSQLElasticsearch

With over 8 years in software engineering, I’m currently a Technical Lead at Paystand, working with tech like Nest.js, Node.js, Angular, React, TypeScript, Elixir, AWS Lambdas, PostgreSQL, RXJS, and Jest among others. I lead teams, coordinate on key projects, and drive feature development, always aiming for solutions that balance innovation with reliability. I thrive in fast-paced environments and enjoy tackling complex problems with precision and agility.

Node.jsTypeScriptReactEngineering ManagementGoNext.jsMySQLAngularRedisJavaScriptApache KafkaPhoenixAWS LambdaPlaywrightSeleniumChaiOracle JETMongoDBPostgreSQLRabbitMQGraphQL