[All remote jobs](https://jobicy.com/jobs.md)[![AlertMedia logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/03/38d8b6a506d39ead683086c25f6ac132.jpeg)](https://jobicy.com/company/alertmedia.md)[AlertMedia](https://jobicy.com/company/alertmedia.md) # Sr. AI/ML Engineer (MXC) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/alertmedia.md)ShareRemote from[Mexico](https://jobicy.com/job-region/mexico.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished25 Oct 2026Apply before24 Nov 2026Listing views36Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. AlertMedia seeks a senior AI/ML engineer to develop, evaluate, fine-tune, and deploy LLM and supervised-learning capabilities across its risk intelligence platform. The role combines applied machine learning, prompt engineering, model evaluation, search infrastructure, and production AI integration. The engineer will work with Python, common ML frameworks, cloud ML tools, and Elasticsearch-backed data systems while partnering with product, engineering, and security teams. This is a Mexico-based remote role requiring existing Mexican work authorization, with optional access to the Mexico City office. The position is suited to an experienced practitioner who can independently improve AI systems and manage multiple initiatives in a fast-paced environment. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe role requires senior-level practical expertise across LLMs, supervised ML, evaluation methodology, cloud tooling, search systems, and safe production deployment. It also demands independent technical judgment and cross-functional alignment in a rapidly evolving AI environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$75,000US market range (per year)$55k–$90k0$99.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer pay amount is disclosed. The displayed figures are AI-estimated annual USD market compensation for a senior applied AI/ML engineering role in Mexico; the annual period is inferred from standard full-time professional compensation conventions. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Large Language Models](https://jobicy.com/jobs?search_keywords=Large%20Language%20Models.md)[Prompt Engineering](https://jobicy.com/jobs?search_keywords=Prompt%20Engineering.md)[Model Fine-Tuning](https://jobicy.com/jobs?search_keywords=Model%20Fine-Tuning.md)[Model Evaluation](https://jobicy.com/jobs?search_keywords=Model%20Evaluation.md)[Supervised Learning](https://jobicy.com/jobs?search_keywords=Supervised%20Learning.md)[Elasticsearch](https://jobicy.com/jobs?search_keywords=Elasticsearch.md)[PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md)[TensorFlow](https://jobicy.com/jobs?search_keywords=TensorFlow.md)[scikit-learn](https://jobicy.com/jobs?search_keywords=scikit-learn.md)[Hugging Face](https://jobicy.com/jobs?search_keywords=Hugging%20Face.md)[Amazon SageMaker](https://jobicy.com/jobs?search_keywords=Amazon%20SageMaker.md)[A/B Testing](https://jobicy.com/jobs?search_keywords=AB%20Testing.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md) Sample interview questionsHow would you evaluate whether an LLM is suitable for a customer-facing AlertMedia use case?I would first define the use case, failure modes, quality rubric, latency and cost targets, and safety requirements. I would build a representative evaluation set, combine automated metrics with structured human review, compare candidate models and prompts, and validate the preferred option through controlled production monitoring or an A/B test. Describe your approach to fine-tuning a supervised model for classification or ranking. I begin by confirming the label definition, data quality, class balance, and baseline performance. I create leakage-safe train, validation, and test splits, select metrics aligned to the product decision, tune the model systematically, and document error analysis before deploying with monitoring for drift and performance degradation. How would you design a prompt iteration and benchmarking framework? I would version prompts, model settings, evaluation datasets, and scoring criteria in a reproducible workflow. The framework would run automated regression tests, capture qualitative reviewer feedback, record latency and token cost, and make it easy to compare changes against a stable baseline before release. What are important considerations when using Elasticsearch in an AI pipeline? I would focus on index design, document freshness, relevance tuning, query performance, and robust metadata filtering. For retrieval-augmented workflows, I would also assess lexical and vector retrieval quality, grounding of generated responses, access controls, and observability for failed or low-quality retrievals. How do you balance rapid AI experimentation with responsible deployment? I separate low-risk experimentation from production release through clear evaluation gates and scoped access to data. Before release, I validate security, privacy, reliability, bias and misuse risks, then deploy incrementally with monitoring, rollback plans, and ongoing feedback loops. Opportunity details ## About this role. Do work that matters.    At AlertMedia, we help organizations protect their people, operations, and brand. Our modern Risk Intelligence and Response platform empowers teams to detect emerging threats, assess impact, and respond with confidence. We believe building resilience should be simpler—and it starts with bringing critical information and workflows together in one unified platform. Our core values drive us in our important mission of keeping people safe & informed:   * We’re humans not robots  * Customers always come first  * We work better together  * Simplicity is our strength  * Our reputation is priceless  * Hard work pays off      AlertMedia is looking for an innovative and hands-on Sr. AI/ML Engineer with a strong background in applied machine learning and data science to lead the evaluation, training, and integration of advanced AI and machine learning models across our product suite. In this role, you will help shape our AI strategy by identifying the most appropriate models for our use cases, optimizing their performance through fine-tuning and prompt engineering, and ensuring their responsible deployment within our platforms. You will have the opportunity to show who you are throughout our interview process; we don’t ask any trick questions or expect you to perform a whiteboard exercise. We want to see you shine by showing us work you are most proud of!    Who you are:     You are an applied AI and machine learning engineer with strong data science fundamentals, deeply curious about what’s possible with large language models and practical machine learning applications. You’re a collaborative engineer who thrives in a fast-moving environment, and you’re as comfortable training and fine-tuning models as you are crafting prompts or evaluating model outputs. You have a strong understanding of ML fundamentals, but you’re pragmatic in applying the right solution for the problem.       What you get to do every day:  * Train and fine-tune supervised learning models (e.g., classification, ranking, embeddings) for internal tools and customer-facing product features.  * Lead prompt engineering and testing efforts to fine-tune LLM behavior for specific use cases across the product suite.   * Design and implement evaluation pipelines for both LLMs and traditional ML models.   * Work with and optimize Elasticsearch-backed data systems that power AI and intelligence pipelines. * Proactively identify opportunities to improve AI models, data pipelines, and engineering workflows beyond the existing roadmap. * Develop tools and frameworks to support prompt iteration, model benchmarking, and performance tracking.   * Coordinate with security team to ensure adherence to AI compliance standards. * Evaluate and compare commercial and open-source LLMs (e.g., OpenAI, Anthropic, Mistral, Meta, etc.) for performance, cost, alignment, and reliability. * Collaborate with product and engineering teams to integrate AI features in a safe, scalable, and maintainable way.   * Monitor, evaluate, and continuously improve the performance of AI and machine learning models in production. * Stay informed of emerging research in NLP, machine learning, and AI infrastructure, and evaluate potential applications for the business.  * Contribute to AlertMedia’s culture, values and vision for the future. What you bring to the role:     * Bachelor’s degree in a technical field such as computer science, computer engineering or related field preferred.  * 5+ years of software engineering experience, Python preferred. * 4+ years of experience in data science and/or software engineering, specifically in machine learning engineering, or applied AI.   * Strong understanding of LLMs and traditional machine learning methods.  * Experience with prompt engineering, model fine-tuning, and evaluation.   * Familiarity with model evaluation best practices, including offline metrics, cross-validation, and A/B testing.   * Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face).   * Experience working with Elasticsearch or other large-scale search and indexing platforms. * Experience with cloud-based ML tooling (e.g., SageMaker, Bedrock) and data workflows.   * Demonstrated experience training and deploying supervised learning models, ideally in production environments (a plus).  * Ability to work independently and collaboratively on cross-functional teams.   * Strong organizational skills and ability to manage working on multiple projects in parallel.  * The ability and desire to work in a fast-paced challenging environment.  Location: This position is remote based in Mexico. Must reside in Mexico and we have an office in Mexico City (Reforma area), if you’re interested in going into the office. Not required, but optional. Sponsorship: AlertMedia does not sponsor employment visas. Candidates must have existing authorization to work in Mexico without the need for sponsorship now or in the future. Identity Verification: To protect our candidates and our company from hiring fraud, finalists may be asked to complete an identity verification and present valid government-issued identification before or during the hiring process. By applying, you acknowledge that all interviews and assessments must be completed by you and not by another individual acting on your behalf. Why you’ll love working at AlertMedia: At AlertMedia, you won’t just build your career — you’ll be part of something meaningful, surrounded by people who genuinely care about the work and each other. * Competitive Base Salary (Bi-Monthly payroll) * Annual Company Bonus * 100% Employer-Paid Medical, Dental, and Vision Coverage * Parental Leave Program * Christmas Bonus (Aguinaldo) * Generous Vacation and Holiday Policy * Additional Vacation Bonus * Monthly Work-from-Home Stipend * All Necessary Equipment Provided: Laptop, monitor and accessories * Recognition & Rewards: We celebrate wins big and small * Language Immersion Program with employees spread out across the globe (English, Spanish, etc…depending on your interest) * Continuous Learning & Growth: From mentorship and tech talks to personalized 1:1 career development sessions, we’re deeply committed to investing in your professional journey * Award Winning Culture: We’re proud to be recognized as a BEST WORKPLACE FOR 10 YEARS IN A ROW * The Work & People: We’re passionate about the meaningful work we do—and even more grateful for the incredible people we get to do it with! About AlertMedia: We are the leading risk intelligence and response platform — trusted by the largest companies in the world to protect their people and assets when it matters most. We are a high-growth, PE-backed SaaS company with more than 4,000 clients scaling rapidly across the globe. Our technology is unmatched with a unified platform, a 7+year history of AI innovation, a customer NPS of 70+, and a culture that sets us even further apart from our competition. We are an equal opportunity employer focused on creating a collaborative and exciting place for all to work. Ensuring a diverse, inclusive, and equitable workplace for all people is key to our success and core to our values.   All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.  This is an amazing opportunity to be part of our wave of momentum and take our company, and your career, to the next growth stage. We’d love to get to know you better and share how we serve our amazing customers. For more information, please visit [www.alertmedia.com](http://www.alertmedia.com/).   Come join us in our mission to save lives and minimize loss through effective communication.   By applying for the role, you agree that AlertMedia will use your Personal Information in connection with the recruitment process and in accordance with our Privacy Policy – [https://www.alertmedia.com/legal/privacy-policy/](https://www.alertmedia.com/legal/privacy-policy/) Show more [Apply now >](https://jobicy.com/jobs/156953-sr-ai-ml-engineer-mxc.md) > Annual salary information is not provided for this position. 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