Machine Learning Data Engineer, LLM, Generative AI

🔥 44 minutes ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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Félix

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤝 B2B

B2B

Félix is a front-end web UI/design-focused entity whose provided asset is a large collection of custom CSS. The code styles forms, inputs (including international telephone input), navigation, toggles (including a dual-currency sliding pill), skeleton loaders, responsive layout helpers, and small interactive components (spinners, tooltips, preloader behavior). This indicates Félix produces or maintains front-end component styles and patterns for websites or web applications — likely a design system, UI toolkit, or an agency/team that implements polished web interfaces.

📋 Description

• Design, build, and maintain scalable automated data pipelines for LLM fine-tuning, including SFT, RLHF, and DPO • Develop telemetry and sampling systems to ingest real-time production data • Measure, evaluate, and benchmark live LLM and AI agent performance, latency, and accuracy • Architect and scale synthetic data generation workflows to augment training data, cover edge cases, and mitigate bias • Implement automated data quality checks, deduplication strategies, and toxicity filtering • Integrate data pipelines with model training infrastructure and support CI/CD for model updates • Manage and optimize data flows into vector databases for RAG capabilities • Collaborate with ML Researchers and DevOps

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field • 5+ years of professional experience in Data Engineering, Machine Learning Engineering, or MLOps • Expert-level proficiency in Python and advanced SQL • Demonstrated hands-on experience working with LLM APIs (OpenAI, Anthropic, etc.), open-source models (Hugging Face, Llama), and orchestration frameworks (LangChain, LlamaIndex, or AutoGen) • Proven experience employing prompt engineering and programmatic techniques for high-quality synthetic data generation and validation • Strong experience with workflow orchestration tools • Experience with scalable cloud infrastructure (GCP) and distributed data processing frameworks • Equivalent competencies in the listed requirements will also be considered

🏖️ Benefits

• Competitive salary • Initial stock options grant • Annual performance bonus • Unlimited PTO • Paid parental leave • Work model: currently fully remote, with a future transition to a hybrid setup • Health, dental, and vision plans • 401(k) with employer matching, for US-based employees • Continuous learning opportunities • Empowering opportunities for growth in a dynamic entrepreneurial environment

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