Technical Project Manager - AI and Machine Learning

RemoteStar Spain
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead cross-functional teams to deliver impactful AI solutions. Drive project lifecycle from scoping to deployment. Translate business requirements into technical plans.

Key Highlights
Lead cross-functional teams of engineers and machine learning practitioners
Drive the full project lifecycle for advanced ML projects
Translate complex business requirements into actionable technical plans
Oversee project progress, resource allocation, and milestone achievement
Facilitate solution design discussions and ensure technical feasibility of LLM/ML approaches
Technical Skills Required
Python git Docker Agile/Scrum methodologies Machine Learning Software Engineering LLMs NLP Cloud ML workflows (AWS, GCP, Azure)
Benefits & Perks
Indefinite contract
Equal pay guaranteed
Variable performance bonus
Signing bonus
Work visa sponsorship (if applicable)
Relocation package (if applicable)
Private health insurance
Flexible working hours
Flexible remuneration
Language classes
Discounted lunch options

Job Description


At RemoteStar, we're currently hiring for one of our client based in Spain


About client :


Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

They provide hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. Their main products, Singularity and CompactifAI, address critical needs across various industries.


Required Qualifications

  • Master’s degree in Computer Science, Data Science, Physics, Engineering, or a related field.
  • 4+ years’ experience delivering ML or data-driven software projects in industry, including planning, execution, and delivery.
  • 2+ years’ experience managing end-to-end engineering projects; experience specifically with LLMs or NLP projects is a strong plus.
  • Hands-on familiarity with contemporary ML and software engineering tools (Python, git, Docker); comfortable discussing technical tradeoffs.
  • Experience with agile/scrum methodologies in software or ML-focused teams.
  • Good communication and stakeholder management abilities, including with non-technical audiences.
  • Working proficiency in English; Spanish is a plus.

Preferred Qualifications

  • PhD in a relevant technical discipline.
  • Experience directly managing LLM, NLP, or generative AI projects.
  • Familiarity with cloud ML workflows (AWS, GCP, Azure).
  • Exposure to quantum/quantum-inspired technologies or advanced model compression technique


As a Technical Project Manager, you will

  • Lead cross-functional teams of engineers and machine learning practitioners to deliver impactful LLM and AI solutions for top-tier industry clients.
  • Drive the full project lifecycle for advanced ML projects: from scoping and planning to deployment, ensuring successful, timely, and high-quality delivery.
  • Translate complex business requirements into actionable technical plans and roadmaps tailored to machine learning and LLM-based initiatives.
  • Oversee project progress, resource allocation, and milestone achievement, making data-driven adjustments and risk mitigations as needed.
  • Facilitate solution design discussions and ensure technical feasibility of LLM/ML approaches, collaborating closely with research and product stakeholders.
  • Proactively resolve blockers, manage team dependencies, and champion best engineering practices for scalable AI systems.
  • Prepare and track project KPIs, ensuring a transparent view of status, risks, and deliverables to leadership and client stakeholders.
  • Foster a culture of collaboration and continuous improvement, working with other project managers to align on cross-team initiatives for LLM/ML excellence.
  • Communicate technical ideas and project status clearly across engineering and non-technical leadership, tailoring detail as required.


Perks & Benefits

  • Indefinite contract.
  • Equal pay guaranteed.
  • Variable performance bonus.
  • Signing bonus.
  • We offer work visa sponsorship (If applicable).
  • Relocation package (if applicable).
  • Private health insurance.
  • Eligibility for educational budget according to internal policy.
  • Hybrid opportunity.
  • Flexible working hours.
  • Flexible remuneration: hospitality and public transportation.
  • Language classes and discounted lunch options
  • Working in a high paced environment, working on cutting edge technologies.
  • Career plan. Opportunity to learn and teach.
  • Progressive Company. Happy people culture

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