Senior AI/ML Engineer – Technology

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Truelogic Software

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

📋 Description

• 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

• 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

• 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.