About
Machine Learning and MLOps Engineer with over 16 years of experience in IT (energy, finance, education).
Currently ML Engineer Manager at Xmartlabs, leading AI initiatives and mentoring global teams.
Additionally, I work as an Independent Consultant and Technical Expert, providing custom developments, cloud architecture consulting (AWS, Azure, GCP) and judicial expert assessments in AI and data analysis projects.
PhD in Data Science in progress, combining research and practical application.
AI Engineer & ML Engineer Manager.
ML Engineer Manager at Xmartlabs leading AI initiatives and mentoring global teams. Independent Consultant and Technical Expert providing custom AI solutions, cloud architecture consulting (AWS, Azure, GCP) and judicial expert assessments. PhD in Data Science in progress, combining research and practical application in Machine Learning and AI.
- Birthday: 03 Apr 1987
- Phone: +54 9 299 4182614
- City: Neuquen, Argentina
- Age: 38
- Degree: PhD in Data Science (in progress) - International MBA - Master of Big Data & BI - System Engineer
- Email: marcos.esteban.soto@gmail.com
Skills
Languages & Frameworks: Python, SQL, Terraform, Docker, Kubernetes, FastAPI
Cloud & MLOps: AWS (SageMaker, Lambda, ECS, CDK), Azure ML, GCP, GitLab CI/CD
Data Science & ML: TensorFlow, PyTorch, Scikit-Learn, NLP, LLM, RAG
Tools: Dataiku, Databricks, Power BI, Jira, Trello
Languages: Spanish (Native), English (Advanced)
Resume
Sumary
Marcos Soto
Machine Learning and MLOps Engineer with over 16 years of experience in IT (energy, finance, education). Currently ML Engineer Manager at Xmartlabs, leading AI initiatives and mentoring global teams. Independent Consultant and Technical Expert providing custom AI solutions, cloud architecture consulting and judicial expert assessments. PhD in Data Science in progress.
- Neuquen, Neuquen
- (+54) 9 299 4182614
- marcos.esteban.soto@gmail.com
Education
PhD in Data Science
2023 - Present
Universidad Loyola
Combining research and practical application in Machine Learning and Data Science
International MBA
2021
MCA Business & Postgraduate School
Master of Big Data & Business Intelligence
2019-2020
ENEB School of Business, Barcelona
Bachelor of Science in System Engineering
2013 - 2019
UnDef - Universidad de la Defensa Nacional, Cordoba, Argentina
Bachelor Associate in Network & Data Communication
2010 - 2012
IFES - Instituto de Formacion Superior, Neuquen, Argentina
Electronics Technician
2000 - 2005
EPET 14
Professional Experience
ML Engineer Manager
May 2025 - Present
Xmartlabs, Remote (US & Uruguay)
- Leading the ML Engineers team, designing strategic AI solutions and establishing technical excellence standards.
- Coordinating project integration with key clients, optimizing MLOps pipelines and promoting CI/CD best practices.
- Mentoring and continuous training: talks, workshops and technical hiring process.
AI Consultant & Computer Expert
November 2019 - Present
Professional Registration Superior Court of Justice, Neuquen, Argentina
- Forensic expert assessments: computer evidence analysis, data extraction for litigation.
- IT Consulting: on-premises and cloud architecture design (AWS, Azure, GCP), complex model consulting and cryptocurrency mining hardware.
- Technical reports and expert presentations development.
Lead Sr. ML Engineer | Data Expert I
January 2024 - May 2025
Qubika, Remote (US)
- Technical excellence assurance in Data & AI projects for clients like Bayview and Harvard Management Company.
- Conducting technical interviews and active participation in selection processes.
- MLEs mentoring and knowledge dissemination through internal workshops.
Sr. Machine Learning Engineer II
June 2023 - January 2024
Qubika, Remote (US)
- Design and implementation of end-to-end architectures for generative AI models and GPU optimization.
- Production deployments on AWS and Azure, focusing on performance and scalability.
Sr. Machine Learning Engineer
April 2022 - July 2023
Konfio, Remote (Mexico)
- Research and development of batch and real-time models.
- Creation of reusable templates to standardize ML production.
- Infrastructure management with Terraform and AWS.
Sr. Machine Learning Engineer
2021 - 2022
Prisma Medios de Pagos S.A., Buenos Aires, Argentina - Remote
- Implementation of ML models in AWS SageMaker.
- Integration with business areas for customized solutions.
Field Operations Engineer III
2013 - 2021
Weatherford International, Argentina, Bolivia, Brazil, Chile
- Technical leadership in flow measurement operations.
- Development of ML-assisted measurement models end-to-end for large volumes of field data.
Teaching Experience
Professor & Development Manager
April 2022 - August 2022
ITBA Escuela de Innovación, Neuquen, Argentina
- FullStack Developer training course, teaching HTML, CSS, JS, Python, SQL and Django.
- Design and execution of academic programs for technical training.
Research Contributions and Publications
Recent Publications
- Paper "Agentic Retrieval-Augmented Generation for Industrial Anomaly Detection" https://doi.org/10.5281/zenodo.15121938
- Paper "Smart Sampling Strategies for Wireless Industrial Data Acquisition" https://doi.org/10.48550/arXiv.2502.17454
- "Automation of field equipment for automatic well testing using a recurrent Neural Network." Thesis project with practical application in well testing automation.
- "Field Testing an Accurate, Non-nuclear, Inline Wet Gas Multiphase Meter" (ADIPEC 2019, SPE-197583-MS). Co-author of paper presented at international conference. https://doi.org/10.2118/197583-MS
- Currently developing research in Machine Learning and Data Science as part of PhD studies.
Featured Projects
- Automation of field equipment for automatic well testing using recurrent neural networks.
- Leadership in generative artificial intelligence projects in audio and LLM architectures in cloud environments.
- Implementation of a non-nuclear wet gas multiphase measurement system for the gas industry.
- AI-based assistants for different companies, including Harvard University's business division in the United States.
Acknowledgments and awards
- Paper "Agentic Retrieval-Augmented Generation for Industrial Anomaly Detection"
- Paper "Smart Sampling Strategies for Wireless Industrial Data Acquisition"
- Santander IE Online Learning Journey for Learners Scholarship
- Co-Author Paper Presented at ADIPEC 2019, Field Testing an Accurate, Non-nuclear, Inline Wet Gas Multiphase Meter. SPE-197583-MS
- GE Virtual Internship – Digital Technology Data Analytics Program.
- Quantium Virtual Internship – Data Analytics Virtual Experience Program.
- Automation of field equipment for automatic well testing using a recurrent Neural Network, degree work.