TensorOps Logo

TensorOps

Talent Acquisition Specialist (6 Month Contract, Remote - Armenia)

Posted 7 Days Ago
Easy Apply
Remote
Hiring Remotely in USA
Junior
Easy Apply
Remote
Hiring Remotely in USA
Junior
The Talent Acquisition Specialist will manage full-cycle recruiting, focusing on proactive sourcing of technical roles in AI and Machine Learning across Eastern Europe and Portugal, while ensuring a positive candidate experience and partnership with hiring managers.
The summary above was generated by AI
  • Location: Remote (Based in Eastern Europe)
  • Engagement: Independent Contractor

  • Duration: Expected 6 months

Who We Are

TensorOps is a specialized consultancy dedicated to helping organizations accelerate their adoption of Artificial Intelligence and Machine Learning. We don’t just build models; we focus on MLOps, Cloud Engineering, and Generative AI, ensuring our clients can take their AI initiatives from experimental research to scalable production environments.

We partner with leading cloud providers (Google Cloud, AWS, Cloudflare) to solve complex infrastructure and engineering challenges. We are a team of engineers, architects, and innovators passionate about building the backbone of the next generation of AI.

The Opportunity

Our People Team is looking for a dedicated Talent Acquisition Specialist to identify, attract, and engage top-tier engineering talent to help TensorOps scale. As a key member of our team, you’ll be responsible for the end-to-end recruitment process—with a strong focus on proactive sourcing and prospecting—to build pipelines primarily for specialized technical roles (ML Engineers, MLOps, AI Architects) across Eastern Europe and Portugal.

You’ll partner closely with technical hiring managers to deeply understand complex role requirements and drive outreach efforts that target both active and passive talent. You will play a crucial role in maintaining our high bar for engineering excellence while ensuring a diverse and inclusive hiring funnel.

Responsibilities
  • Full-Cycle Recruiting: Lead the hiring process for assigned technical and non-technical roles, moving candidates from application to offer.

  • Proactive Sourcing: Locate and engage passive candidates using advanced sourcing techniques (LinkedIn Recruiter, GitHub, Stack Overflow, X-Ray), specifically targeting the Eastern European and Portugal tech market.

  • Pipeline Building: Build and manage a robust pipeline of talent for niche roles in MLOps, GenAI, and Cloud Engineering.

  • Hiring Manager Partnership: Build strong relationships with technical leads and partners to align on requirements and provide consultation on market trends.

  • Candidate Experience: Ensure a seamless, transparent, and positive candidate experience through clear communication and timely feedback, reflecting TensorOps’ collaborative culture.

  • AI & Reporting: Leverage AI, data to drive informed hiring decisions and provide weekly updates on pipeline health.

  • Referral Culture: Foster internal engagement to encourage employee-driven talent referrals.

Qualifications
  • Experience: 2+ years of experience as an in-house recruiter or agency recruiter working with deep-tech or consultancy companies.

  • Regional Expertise: Specific experience hiring for technical roles in Eastern Europe (Poland, Romania, Bulgaria, etc.) and Portugal.

  • Technical Fluency: A strong ability to understand technical requirements (you know the difference between a Data Scientist and an ML Engineer) and hold credible conversations with engineering talent.

  • Ownership: Hands-on experience managing the end-to-end hiring process, including writing JDs, scheduling, interviewing, and negotiating offers.

  • Sourcing Skills: Proven track record of finding and activating passive candidates; you don't just rely on inbound applications.

  • Tools: Proficiency with modern Applicant Tracking Systems (ATS) and sourcing tools.

  • Communication: Outstanding verbal and written communication skills with Native/Fluent level English.

  • Attitude: A self-starter who thrives in a remote-first, fast-paced environment.

Bonus Points
  • Experience specifically recruiting for AI, Machine Learning, or Data Engineering roles.

  • Experience working with Greenhouse (ATS).

  • Background in a technical consultancy or professional services environment.

  • Experience utilizing AI tools to optimize the recruiting workflow.

  • Additional European languages.

Life at TensorOps

Build the Future. Work from Anywhere.

We are a remote-first company that values autonomy, mastery, and purpose. At TensorOps, you aren't just a number; you are part of a tight-knit team of experts solving some of the hardest problems in the industry.

We believe in flexible work schedules that allow you to balance your professional ambitions with your personal life. We support continuous learning, speaking at conferences, and contributing to the open-source community.

Join us in productionizing the world of AI.

 

Top Skills

Git
Greenhouse
Linkedin Recruiter
Stack Overflow
X-Ray

Similar Jobs

7 Minutes Ago
In-Office or Remote
2 Locations
130K-280K Annually
Senior level
130K-280K Annually
Senior level
Artificial Intelligence • Software • Automation
The Account Executive will identify potential customers, develop outbound strategies, manage sales processes, and collaborate cross-functionally while building the sales team.
Top Skills: SaaS
23 Minutes Ago
Remote or Hybrid
United States
45K-45K Annually
Junior
45K-45K Annually
Junior
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role involves providing exceptional customer service for Group Variable Universal Life insurance policies, responding to inquiries, and educating customers on policy features.
Top Skills: Computer Systems
58 Minutes Ago
Remote or Hybrid
Santa Clara, CA, USA
182K-310K Annually
Senior level
182K-310K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Senior Research Engineer/Scientist, you will develop innovative Large Language Models (LLMs), working on data curation, training, and evaluation while collaborating with cross-functional teams to deliver high-impact AI solutions.
Top Skills: AILarge Language ModelsMachine LearningPythonReinforcement Learning

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account