Talent Acquisition Specialist at TensorOps

France

<h2>About TensorOps</h2> <p>TensorOps is a boutique AI consultancy that bridges the gap between strategy and execution. We design and ship production-grade AI systems for enterprise clients, from fast-growing unicorns to Fortune 500 and publicly listed companies.</p> <p>Our work spans agentic AI, LLM fine-tuning, retrieval-augmented generation, MLOps, computer vision, and other ML-driven products. We work extensively with leading AI ecosystems such as <strong>Anthropic and OpenAI</strong>, building and deploying scalable solutions primarily on <strong>AWS</strong>, while also supporting Azure, Google Cloud, and other technologies when required by our clients.</p> <p>The solutions we have delivered impact more than 200 million end users every day, and 95% of our validated ideas reach production within two months.</p> <p>We are remote by design and connected by choice. We value autonomy, open communication, technical excellence, and people who care deeply about delivering meaningful work.</p> <p>We are looking for an experienced <strong>Talent Acquisition Specialist</strong> with strong knowledge of the European and Latin American talent markets. You will own and continuously improve our recruitment strategy while managing the end-to-end hiring process for roles across AI/ML, Generative AI, MLOps, Data, AWS, Cloud, DevOps, Sales, Partnerships, Marketing, and other business functions.</p> <p>Join us and help build the team shaping how ambitious organizations adopt and scale AI.</p> <h2>The Role</h2> <ul> <li> <p>Manage the full recruitment lifecycle, from role intake and sourcing to interviews, offer management, and onboarding handover.</p> </li> <li> <p>Interview candidates across different seniority levels and regions, evaluating experience, competencies, motivation, and alignment with TensorOps’ culture.</p> </li> <li> <p>Recruit for highly technical roles related to Generative AI, machine learning, MLOps, data engineering, AWS, cloud infrastructure, and software engineering.</p> </li> <li> <p>Develop an understanding of the skills required to build AI products using technologies and platforms such as Anthropic, OpenAI, and AWS.</p> </li> <li> <p>Create a thoughtful, transparent, and engaging candidate experience throughout the recruitment process.</p> </li> <li> <p>Partner closely with hiring managers to define requirements, develop hiring plans, and make high-quality recruitment decisions.</p> </li> <li> <p>Build and maintain talent pipelines for technical and business-critical roles across Europe and Latin America.</p> </li> <li> <p>Develop creative regional and global sourcing and employer-branding initiatives.</p> </li> <li> <p>Track recruitment performance, analyze hiring data, and use relevant metrics to identify opportunities for improvement.</p> </li> <li> <p>Improve our interview processes, assessment methods, workflows, documentation, and use of recruitment technology.</p> </li> <li> <p>Help strengthen TensorOps’ employer brand and communicate what makes our work, culture, and opportunities distinctive.</p> </li> </ul> <h2>Required Skills and Experience</h2> <ul> <li> <p>At least four years of experience recruiting technical professionals, ideally within AI, machine learning, software engineering, cloud, data, or technology consulting.</p> </li> <li> <p>Proven experience managing end-to-end recruitment processes across multiple roles and seniority levels.</p> </li> <li> <p>Experience recruiting for roles such as AI/ML Engineers, Generative AI Engineers, MLOps Engineers, Data Engineers, AWS or Cloud Engineers, DevOps Engineers, and Solutions Architects.</p> </li> <li> <p>Strong interviewing, stakeholder-management, and candidate-assessment skills.</p> </li> <li> <p>Experience sourcing talent across European and Latin American markets.</p> </li> <li> <p>Confidence working with technical hiring managers and learning the requirements of complex AI and cloud roles.</p> </li> <li> <p>An interest in, or familiarity with, the Generative AI ecosystem, including companies and platforms such as Anthropic, OpenAI, and AWS.</p> </li> <li> <p>Proficiency with applicant tracking systems and recruitment tools; experience with Greenhouse is an advantage.</p> </li> <li> <p>Ability to analyze recruitment metrics, hiring trends, and KPIs to improve recruitment outcomes.</p> </li> <li> <p>Strong project-management skills, with the ability to coordinate multiple vacancies, stakeholders, and timelines.</p> </li> <li> <p>Experience developing sourcing campaigns, talent communities, or employer-branding initiatives is an advantage.</p> </li> </ul> <h2>Additional Requirements</h2> <ul> <li> <p>Excellent written and spoken English. As an international team, we use English for meetings, client interactions, and internal communication.</p> </li> <li> <p>A CV submitted in English.</p> </li> <li> <p>Availability to collaborate effectively across multiple time zones.</p> </li> <li> <p>The ability to succeed in a remote, fast-moving, and highly autonomous environment.</p> </li> </ul> <h2>What We Value</h2> <p><strong>Curiosity:</strong> You are interested in Generative AI, machine learning, AWS, and the industries in which our clients operate. You actively learn about emerging technologies, including the Anthropic and OpenAI ecosystems, so you can better understand the roles and people you recruit.</p> <p><strong>Ownership:</strong> You take responsibility for your work, make informed decisions, and move initiatives forward without waiting to be directed.</p> <p><strong>Collaboration:</strong> You build trusted relationships with candidates, hiring managers, and colleagues and communicate openly throughout the process.</p> <p><strong>Adaptability:</strong> You are comfortable operating in a growing company where priorities can evolve and processes are continuously improved.</p> <p><strong>Quality:</strong> You care about finding the right people, not simply filling positions, and hold yourself to a high standard in every candidate interaction.</p> <h2>What We Offer</h2> <ul> <li> <p><strong>Remote by design:</strong> No mandatory office days and the flexibility to do your best work from wherever you are based.</p> </li> <li> <p><strong>High-impact work:</strong> Help build the team delivering production-grade AI and machine-learning solutions across diverse industries.</p> </li> <li> <p><strong>Exposure to leading AI technologies:</strong> Work alongside teams building solutions using Anthropic, OpenAI, AWS, and the broader Generative AI ecosystem.</p> </li> <li> <p><strong>International exposure:</strong> Collaborate with colleagues, candidates, and clients across global markets.</p> </li> <li> <p><strong>Continuous learning:</strong> Access to fully funded professional certifications, with a particular focus on AWS, alongside opportunities to deepen your understanding of Generative AI, Anthropic, OpenAI, cloud infrastructure, and machine learning.</p> </li> <li> <p><strong>Health and wellbeing support:</strong> Urban Sports Club membership to support physical and mental wellbeing.</p> </li> <li> <p><strong>Monthly Bolt credits:</strong> Support for work-related transportation and travel.</p> </li> <li> <p><strong>Team events and offsites:</strong> Regular opportunities to connect, collaborate, and celebrate in person.</p> </li> <li> <p><strong>Meaningful ownership:</strong> The opportunity to shape TensorOps’ recruitment strategy, processes, employer brand, and future team.</p> </li> </ul> <p>Your achievements matter to us. Please ensure your CV and LinkedIn profile are up to date and accurately reflect your experience.</p> <p>TensorOps is committed to building a team where different backgrounds, experiences, and perspectives are respected and valued. We encourage you to apply even when your experience does not match every requirement listed above.</p>