Senior AI/ML Engineer – Technology

Truelogic Software

Senior Data Scientist joining Marketing/Data Science team at global insights firm. Designing AI/ML solutions integrating GenAI innovations for core research products.

Posted 7/15/2026full-timeRemote • 🇩🇴 Dominican RepublicSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and executing advanced AI/ML models, particularly LLMs and RAG architectures, while effectively leading experimentation and promoting AI adoption across teams. Proficient in Python programming and MLOps practices to ensure successful model deployment and integration into production environments.

Highest-signal resume keywords

Advanced AI/ML Model DesignLLM and GenAI Systems DeploymentPython ProgrammingMLOps/LLMOps PracticesExperimentation and Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel OptimizationData ScienceStatistical AnalysisModel Fine-TuningProduction-Grade Code WritingRetrieval-Augmented Generation (RAG)Vector DatabasesMultimodal EmbeddingsAgentic Workflows

Soft Skills

Effective CommunicationProject ManagementCollaborationEmpathyEducation and Empowerment

Tools & Technologies

LangChainLlamaIndexHuggingFace TransformersOpenAI APIsCI/CD PipelinesVersion ControlExperiment Tracking

Industry Keywords

Consumer DataMediaEntertainmentMarketing ResearchQuantitative Field

Tech Stack

Tools & technologies

PythonReact

About the role

Key responsibilities & impact

Design and execute advanced AI/ML models – including fine-tuned LLMs and RAG architectures – for integration into both internal tooling and external client-facing products.
Lead experimentation efforts: clearly define hypotheses, design interpretable tests, analyze results rigorously, and communicate findings effectively.
Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment.
Work with software and data engineering to productionize models and contribute to robust CI/CD pipelines with MLOps/LLMOps best practices.
Stay current on emerging methods in AI – e.g., agentic workflows, memory-augmented systems, multimodal embeddings – and bring those ideas to life in real-world applications.
Promote AI adoption internally by educating and empowering cross-functional partners while improving processes and workflows.
Manage your time and projects effectively, ensuring clear progress updates and proactive communication with collaborators.
Write production-grade Python code to support models, pipelines, and experimental frameworks.
Work with the highest degree of ethics and empathy, recognizing that AI can be a potentially disruptive force for organizations and individuals

Requirements

What you’ll need

5+ years in data science, ML engineering, or related analytics roles.
Proven experience deploying machine learning models into production environments, ideally with LLMs or GenAI systems.
Bachelor’s or higher degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or related field.
Experience working with consumer data, especially within media, entertainment, or marketing research contexts is a strong plus.
Proficiency working with modern ML frameworks and GenAI stacks (e.g., LangChain/LlamaIndex, HuggingFace Transformers, OpenAI APIs).
Experience building and fine-tuning models using domain-specific datasets, preferably including survey, behavioral, or audience data.
Familiarity with retrieval-augmented generation (RAG), vector databases, and agentic/multi-step reasoning workflows (e.g., ReAct, AutoGPT, MCP frameworks).
Comfortable implementing MLOps/LLMOps practices: version control, experiment tracking, model deployment, and monitoring.

Benefits

Comp & perks

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.