TensorOps

TensorOps is a global AI, ML & Data consulting and professional services firm that accelerates business value through rapid, efficient technology adoption, combining strategic executive consultancy with hands-on deployment to deliver tailored solutions across adtech, healthcare, fintech and beyond. With a multidisciplinary team of 20 engineers and business strategists, spanning through Portugal, USA, UK and Israel, we ensure the right AI approach for every organisation, from first-time adopters to established industry leaders, such as Notion, KLA, Minute Media, and Seeking Alpha. TensorOps is a Google Cloud Partner and AWS Partner

AI Researcher

AI EngineerMachine Learning EngineerContractRemoteTeam 17Since 2022

Location

United States + 180 moreAll locations: United States, Canada, Brazil, Colombia, Argentina, Chile, Venezuela, Bolivarian Republic Of, Bolivia, Plurinational State Of, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Mexico, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Dominican Republic, Puerto Rico, Bahamas, Guadeloupe, Haiti, Jamaica, Martinique, Montserrat, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, South Africa, Egypt, Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Côte D'ivoire, Congo, The Democratic Republic Of The, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-bissau, Kenya, Lesotho, Liberia, Libyan Arab Jamahiriya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Senegal, Seychelles, Sierra Leone, Somalia, Sudan, Swaziland, Tanzania, United Republic Of, Togo, Tunisia, Uganda, Zambia, Zimbabwe, Georgia, Turkey, Israel, United Arab Emirates, Armenia, Azerbaijan, Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Palestinian Territory, Occupied, Yemen, India, Japan, Philippines, Pakistan, Thailand, Singapore, Viet Nam, Taiwan, Province Of China, Indonesia, Cambodia, Lao People's Democratic Republic, Malaysia, Myanmar, Korea, Republic Of, China, Afghanistan, Bangladesh, Bhutan, Kazakhstan, Kyrgyzstan, Maldives, Mongolia, Nepal, Sri Lanka, Tajikistan, Turkmenistan, Uzbekistan, Australia, Papua New Guinea, Kiribati, Palau, French Polynesia, Tuvalu, New Zealand

Posted

14 days ago

Salary

Not specified

No structured requirement data.

Job Description

We are looking for a Master’s or PhD student to work on fine-tuning large language models (LLMs) for domain-specific tasks. The goal is to take an existing pretrained model (e.g., Meta AI’s LLaMA-class models or similar) and specialize it for a narrow, high-value use case using efficient fine-tuning techniques. This is a hands-on applied project designed for someone who wants real-world experience deploying and optimising LLM systems. Help drive the next wave of applied AI by demonstrating how fine-tuned LLMs can unlock advanced, real-world use cases beyond general-purpose foundation models. Contribute to building specialised AI systems that deliver improved accuracy, efficiency, and control compared to out-of-the-box models. Bridge the gap between academic knowledge and real-world application by applying fine-tuning techniques to solve concrete business problems.

Job Requirements

  • MSc or PhD student in Computer Science, Machine Learning, AI, or related field
  • Alternatively, 6 months of hands-on experience training and fine-tuning deep learning models
  • Has worked on LLMs in research or industry
  • Has fine-tuned at least one transformer model
  • Comfortable working independently
  • Interested in applied AI and real-world constraints (cost, latency, memory)
  • Strong Python skills
  • Experience with deep learning frameworks: PyTorch (preferred) or TensorFlow
  • Experience with Hugging Face Transformers or similar ecosystems
  • Hands-on experience training or fine-tuning transformer models on GPUs (local or cloud-based)
  • Previous experience using cloud platforms for model training or deployment (e.g., AWS, GCP, Azure, RunPod or similar GPU providers)
  • Experience working with or fine-tuning open-weight LLM families (Gemma-3, Qwen-3.5, Llama 4, GPT-OSS, Mistral...)
  • Hands-on experience with LoRA
  • Understanding of fine-tuning vs pretraining, overfitting and generalization, and model evaluation
  • Strong business awareness: ability to understand the context of the fine-tuning task and translate domain requirements into clear modeling objectives

Benefits

  • 100% Remote Work: Work from anywhere with flexibility and autonomy
  • Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries
  • International Clients: Collaborate with global organizations and solve real-world challenges at scale
  • Urban Sports Club Membership: Supporting your physical and mental wellbeing
  • Monthly Bolt Credits: For rides
  • Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate

Related Job Pages

More AI Engineer Jobs

Software Engineer

NISC

We are passionate about innovation, service excellence & new technologies that empower our Members.

AI Engineer14 days ago
Full TimeRemoteTeam 1,001-5,000H1B No Sponsor

Company Overview: For more than 50 years, NISC has worked to develop technology solutions for our customers, who we call our “Members”. Those Members are comprised primarily of 960+ energy (utility) and communication (broadband) organizations across North America. Our mission is ...

United States

Solution Director, Analytics & AI/ML

Rackspace

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

AI Engineer14 days ago
Full TimeRemote

Strategic Leadership & Opportunity Development Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations. ...

United States
Full TimeRemoteTeam 501-1,000

Driving AI strategy within the Information Security department with a focus on leveraging AI technologies to augment or replace existing security technologies designed to protect TradeStation and its customers Enabling TradeStation to rapidly adopt and leverage AI technologies ac...

United States

Principal Scientist – Fault-Tolerant Quantum Algorithms

IonQ

Our mission: to build the world’s best quantum computers to solve the world’s most complex problems.

AI Engineer15 days ago
Full TimeRemoteTeam 201-500Since 2015H1B Sponsor

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact ever...

United States + 1 moreAll locations: United States, Canada