Senior AI/ML Engineer

🔥 35 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

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AlertMedia

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

AlertMedia is a company that provides comprehensive communication solutions for businesses, focusing on the ability to manage links, QR codes, and connections with audiences. Through the Bitly Connections Platform, they offer tools for URL shortening, QR code generation, and landing page creation, designed to help companies enhance customer engagement and streamline digital communication. With a focus on analytics and integrations with platforms like HubSpot and Canva, AlertMedia aims to improve the digital interaction in industries such as retail, healthcare, and financial services, making it easier for businesses to connect with their customers efficiently.

📋 Description

• Train and fine-tune supervised learning models for internal tools and customer-facing product features. • Lead prompt engineering and testing efforts to fine-tune LLM behavior for specific use cases. • Design and implement evaluation pipelines for LLMs and traditional ML models. • Work with and optimize Elasticsearch-backed data systems powering AI and intelligence pipelines. • Identify opportunities to improve AI models, data pipelines, and engineering workflows. • Develop tools and frameworks for prompt iteration, model benchmarking, and performance tracking. • Coordinate with the security team to ensure adherence to AI compliance standards. • Evaluate and compare commercial and open-source LLMs for performance, cost, alignment, and reliability. • Collaborate with product and engineering teams to integrate AI features safely, scalably, and maintainably. • Monitor, evaluate, and continuously improve AI and machine learning models in production. • Stay informed of emerging research in NLP, machine learning, and AI infrastructure. • Contribute to AlertMedia’s culture, values, and vision.

🎯 Requirements

• 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. • Must reside in Mexico. • Candidates must have existing authorization to work in Mexico without the need for sponsorship now or in the future.

🏖️ Benefits

• 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

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