Senior Machine Learning Engineer

Summary

Join Docplanner's global Machine Learning and Data Science unit as a Senior Machine Learning Engineer. Take ownership of end-to-end ML capabilities within a product area, driving technical excellence and championing best practices. Work alongside other machine learning professionals, reporting to the Head of Machine Learning & Data Science. This role involves designing, deploying, and iterating on ML services for diverse data types, brainstorming technical roadmaps, researching LLM-powered solutions, and improving team effectiveness. You will also architect and maintain data pipelines. Docplanner offers a competitive salary, flexible remuneration, share options, remote/hybrid work, flexible hours, generous paid time off, private healthcare, and wellness programs.

Requirements

• 5+ years of professional experience as an ML[Ops] Engineer in a fast-paced, product-driven tech environment
• Proven track record of delivering impactful ML initiatives in high-scale, cross-functional, and high-performance environments
• Demonstrated expertise in production-grade MLOps, leveraging, for example, orchestration with Kubernetes, model serving via FastAPI, NVIDIA Triton and KServe, Apache Airflow for data pipelines
• Good understanding and proficiency in deep learning frameworks such as PyTorch or TensorFlow
• Proven ability to integrate, deploy, and optimize large language models in production-grade industry environments, ensuring scalability and robust performance. Knowledgeable in prompt engineering, basis of agent‐based workflows, and the generation and manipulation of embeddings
• Problem-solving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers
• Strong collaboration and communication skills, with a track record of influencing cross-functional stakeholders and aligning diverse teams around shared goals
• Proven ability to manage timelines, prioritize tasks, and deliver results under tight deadlines
• Experienced in mentoring and guiding other engineers, fostering technical growth and promoting a high-performance team culture
• Curiosity and eagerness to collaborate with cross-functional teams (e.g., product, marketing, engineering)

Responsibilities

• Take technical leadership of ML initiatives, working closely with scientists, engineers, and product stakeholders to deliver AI-driven solutions that directly support strategic business objectives
• Design, deploy and iterate over ML services for diverse data types (e.g., audio, text), while proactively anticipating performance bottlenecks driving continuous improvements
• Brainstorm and design technical roadmaps in partnership with the AI Platform team, identifying and addressing platform and MLOps bottlenecks, and designing scalable GPU optimization strategies that balance performance, cost, and reliability
• Research, architect, and deploy LLM-powered information retrieval solutions (eg. RAG) to deliver accurate and scalable results in complex, multilingual product environments; champion industry-leading frameworks and evangelize their adoption across the organization
• Lead efforts to improve team effectiveness by evolving internal frameworks, optimizing workflows, and fostering a culture of operational excellence in collaboration with the AI Platform team
• Architect, deploy, and maintain high-throughput, reliable data pipelines to support training-set curation and data-annotation tooling

Benefits

• A salary adequate to your experience and skills
• Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings
• Share options plan after 6 months of working with us
• Remote or hybrid work model with our hub in Barcelona
• Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
• Summer intensive schedule during July and August (work 7 hours, finish earlier)
• 23 paid holidays, with exchangeable local bank holidays
• Additional paid holiday on your birthday or work anniversary (you choose what you want to celebrate)
• Private healthcare plan with Adeslas for you and subsidized for your family (medical and dental)
• Access to hundreds of gyms for a symbolic fee in partnership for you and your family with Wellhub
• Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling