ML/AI Intern

About TensorOps:



At TensorOps, we're at the forefront of AI innovation, transforming industries with groundbreaking solutions in traditional machine learning, Gen AI, AI agents, Ad Tech, Search, and Recommendation Systems. We empower both startups and established enterprises—from large public companies to digital-native early-movers—with strategies that drive success. With a clientele that includes industry leaders like JFrog, Notion, MinuteMedia, and Clever Advertising, and trusted partnerships with Google Cloud and AWS, we are redefining what's possible in AI.

Your Role: AI/ML Engineer

As an AI/ML Engineer at TensorOps, you'll work on exciting, real-world projects that leverage the power of AI to solve complex problems. You'll join a team of forward-thinking experts, contributing to projects from ideation to deployment, and expanding your skills in a collaborative and innovative environment.

What You'll Do:

• Develop & Implement Models: Design, develop, and deploy machine learning models and AI solutions that drive business impact.
• Collaborative Engineering: Work closely with data scientists, engineers, and product teams to translate business requirements into technical specifications and innovative solutions.
• Research & Innovation: Stay updated with the latest trends and research in AI/ML, applying new techniques to enhance our solutions.
• Data Analysis: Analyze and process large datasets to extract valuable insights and drive data-driven decision-making.
• Model Optimization: Continuously monitor, evaluate, and optimize model performance to ensure robust and scalable solutions.
• Documentation: Maintain clear and concise documentation for models, methodologies, and processes.
  
  

Who We're Looking For:

• Passionate Engineer: Up to 2 years of experience in AI/ML engineering, eager to learn and grow in a fast-paced tech environment.
• Technical Proficiency: Solid foundation in programming languages such as Python, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Problem Solver: Strong analytical skills with the ability to troubleshoot issues and optimize algorithms.
• Collaborative Mindset: Excellent communication skills and a team-oriented attitude to work effectively with diverse stakeholders.
• Educational Background: A degree in Computer Science, Engineering, Data Science, or a related field.
  
  

Why TensorOps?

• Innovative Environment: Join a forward-thinking team that is pushing the boundaries of AI technology.
• Remote Flexibility: Enjoy the benefits of remote work while collaborating with a dynamic team across Europe.
• Competitive Benefits: Enjoy a range of employee-centric perks, including health and wellness programs (like a gym membership via Urban Sports Club), a monthly stipend in Bolt credits, and access to co-working spaces.
• Growth & Learning: Thrive in a culture that values continuous learning, offering ample opportunities for professional development and innovation.
  
  

If you're ready to jump-start your career in AI/ML engineering and work on projects that make a real impact, we'd love to hear from you. Join us at TensorOps and help shape the future of AI innovation.

Apply Now!