Senior Data Scientist – m/f/x

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🕒 March 17

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Makersite

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

☁️ SaaS

🤖 Artificial Intelligence

📋 Compliance

SaaS • Artificial Intelligence • Compliance

Makersite is an award-winning data software company that specializes in providing sustainability data and product lifecycle intelligence solutions. The company empowers engineers, procurement teams, and sustainability experts to transform products and supply chains by making sustainable product decisions at scale. Makersite integrates artificial intelligence, data, and applications to offer features like automated lifecycle assessments, supply chain risk management, and AI-enabled ecodesign. Their platform facilitates compliance with global reporting obligations and enhances supply chain transparency, enabling organizations to achieve sustainability goals such as reducing carbon footprints and building resilient supply chains. Makersite is ideal for companies looking to manage product sustainability, compliance, and cost effectively using data-driven decision-making.

📋 Description

• Develop and Deploy Production-Grade AI Systems • Build, deploy, and maintain scalable APIs that serve AI/ML models in production environments • Own end-to-end delivery of AI solutions, from prototyping to fully productionized systems • Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases • Build and orchestrate AI agents using frameworks such as LangGraph, CrewAI, or similar • Evaluate and select appropriate large language models (LLMs) and foundation models based on specific use cases • Continuously optimize model inference for latency, cost efficiency, and throughput at scale • Identify bottlenecks and implement improvements to ensure high-performing systems • Implement robust monitoring, logging, and alerting for deployed models and services • Ensure system reliability, uptime, and performance through best practices in production ML systems • Build and maintain CI/CD pipelines for seamless testing, deployment, and iteration of AI systems • Contribute to evolving engineering standards as the company transitions from rapid experimentation to more structured, scalable operations • Work closely with product and engineering teams to integrate AI capabilities into core products • Translate business problems into technical solutions and clearly communicate trade-offs • Help bring stability and structure to AI development processes during a high-growth, scale-up phase • Balance speed of execution with the need for maintainable, well-documented, and scalable systems • Take ownership of ambiguous problems and drive them through to practical, production-ready outcomes

🎯 Requirements

• 5+ years of experience in Python • ~10 years of overall software engineering or data experience • Proven experience building and deploying production-grade APIs (preferably with FastAPI; REST/GraphQL experience is a plus) • Hands-on experience working with large language models (LLMs) and LLMOps, including prompt engineering, fine-tuning, and evaluation (e.g., GPT, Claude) • Strong experience fine-tuning open-source models (e.g., Hugging Face ecosystem) • Practical experience designing and working with vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector) • Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, or similar • Solid understanding of model deployment and serving (e.g., vLLM, TGI, or managed endpoints) • Experience with CI/CD pipelines and modern deployment practices (Docker, Kubernetes, GitHub Actions) • Strong experience working with and processing large-scale text datasets

🏖️ Benefits

• 30 Days Paid Time Off • Remote-First Flexibility • Generous Learning & Development Budget • Choose Your Ideal Work Equipment