263 Ofertas de Deep Learning en Huelva

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AI Engineer / Deep Learning Engineer
Location: Barcelona, Remote within the EU
Salary: €60,000 - €85,000
Join our AI Engineering team to design and implement generative AI models, working closely with GPUs and frameworks like CUDA and TensorRT to push model performance and innovation. If you hold an NVIDIA certification, you'll be strongly preferred due to the specialised nature of the role.
Key Responsibilities
- Develop and train generative AI models
- Optimise model performance using TensorRT and CUDA
- Implement efficient inference pipelines for production use
- Conduct research and experimentation to improve model architecture
- Work with MLOps and QA teams to ensure robust deployment
Requirements
- Strong experience with deep learning (TensorFlow or PyTorch)
- Background in generative AI or NLP models
- Skilled in CUDA and TensorRT for optimisation
- Solid understanding of training workflows and data pipelines
- Based in the EU with full working rights
- Candidates with NVIDIA certifications will be viewed as a strong advantage
If you're a strong AI Engineer / Deep Learning Engineer feel free to apply or send you C.V
AI Engineer / Deep Learning Engineer

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

Note: This role requires relocation to San Sebastian - Spain, VISA sponsorship will be provided by client.

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.

As a manager you will

• Lead an international team of engineers to develop cutting-edge solutions to the hardest industry problems for our top-tier clients.
• Lead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used.
• Manage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will:
• Develop comprehensive project plans, including timelines, resource allocation, and risk assessments.
• Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum.
• Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results-driven team environment.
• Monitor project performance and take proactive measures to ensure the delivery of high-quality solutions.
• Develops documentation, monitors and reports project status, assesses the effectiveness and accuracy of documentation.
• Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges.
• Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities.
• Demonstrates an understanding of customer's tactical goals and effectively participates in the development and implementation of business solutions.
• Contribute to the tech strategy providing clients and technology insights

Required Qualifications

• Master's degree in computer science, Engineering, Physics, Data Science, Operations Research, or related field.
• 4+ years of hands-on experience in software engineering, data science, IT and/or other relevant engineering domains.
• 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company.
• Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization.
• Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems,

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

Note: This role requires relocation to San Sebastian - Spain, VISA sponsorship will be provided by client.

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.

As a manager you will

• Lead an international team of engineers to develop cutting-edge solutions to the hardest industry problems for our top-tier clients.
• Lead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used.
• Manage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will:
• Develop comprehensive project plans, including timelines, resource allocation, and risk assessments.
• Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum.
• Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results-driven team environment.
• Monitor project performance and take proactive measures to ensure the delivery of high-quality solutions.
• Develops documentation, monitors and reports project status, assesses the effectiveness and accuracy of documentation.
• Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges.
• Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities.
• Demonstrates an understanding of customer's tactical goals and effectively participates in the development and implementation of business solutions.
• Contribute to the tech strategy providing clients and technology insights

Required Qualifications

• Master's degree in computer science, Engineering, Physics, Data Science, Operations Research, or related field.
• 4+ years of hands-on experience in software engineering, data science, IT and/or other relevant engineering domains.
• 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company.
• Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization.
• Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems,

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

Note: This role requires relocation to San Sebastian - Spain, VISA sponsorship will be provided by client.

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.

As a manager you will

• Lead an international team of engineers to develop cutting-edge solutions to the hardest industry problems for our top-tier clients.
• Lead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used.
• Manage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will:
• Develop comprehensive project plans, including timelines, resource allocation, and risk assessments.
• Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum.
• Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results-driven team environment.
• Monitor project performance and take proactive measures to ensure the delivery of high-quality solutions.
• Develops documentation, monitors and reports project status, assesses the effectiveness and accuracy of documentation.
• Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges.
• Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities.
• Demonstrates an understanding of customer's tactical goals and effectively participates in the development and implementation of business solutions.
• Contribute to the tech strategy providing clients and technology insights

Required Qualifications

• Master's degree in computer science, Engineering, Physics, Data Science, Operations Research, or related field.
• 4+ years of hands-on experience in software engineering, data science, IT and/or other relevant engineering domains.
• 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company.
• Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization.
• Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems,

Friday Systems builds AI that allows industrial robots to adapt to dynamic warehouse environments. We focus on high-throughput palletizing and related tasks where classical approaches break down. Our stack is built around Deep Reinforcement Learning with modern sequence models.

Tiny team, zero bureaucracy, direct impact, salary + equity.

THE ROLE

Own the DRL stack end-to-end: formulation → algorithm design → large-scale training → evaluation → deployment. You’ll work directly with the CTO to turn cutting-edge DRL into production throughput at customer sites.

YOU WILL

• Design & ship DRL algorithms (PPO/SAC/DDQN and variants, based on encoders/cross-attention/pointer networks) for complex control & combinatorial optimization.

• Tackle stability & sample-efficiency: GAE, normalization, entropy/KL control, distributional/value-loss tuning, curriculum learning and reward shaping, …

• Launch multi-GPU training, parallel rollouts, efficient replay/storage, and reproducible experiment tooling.

• Productionize: clean PyTorch code, profiling, Dockerized services (FastAPI), AWS deployments, experiment tracking, dashboards.

• Collaborate with the C-Level Team to ensure product excellence and alignment with business strategy. Forge strong relationships with clients, effectively translating their needs into unique technology solutions.

• Build and nurture a high-performing team by attracting top talent. Provide mentorship and leadership to foster a culture of quality and innovation.

YOU HAVE

• Track record shipping RL beyond academic demos: you’ve led at least one end-to-end RL system from idea to production or a state-of-the-art benchmark in the last 3–5 years.

• Extensive Deep Learning, Reinforcement Learning & PyTorch expertise: You can implement several DRL algorithms from scratch, reason about root-cause performance drops and make informed decisions about next steps.

• Systems know-how: Python, Linux, Docker, Multi-GPU, Cloud (AWS).

• Math maturity: MDPs/Bellman operators, policy gradients, trust-region/KL, GAE/λ-returns, stability/regularization in on-policy vs off-policy regimes.

• Ownership: you’re comfortable being the primary owner for experiments, code quality, and results in a small team.

• Location/time zone: EU-based (CET±2) and able to travel occasionally to customer warehouses.

We are not considering entry-level or coursework-only profiles for this role.

HIRING PROCESS

• 30-min intro & mutual fit
• Deep technical session with CTO on your past RL work (no LeetCode, no homework)
• Two one-hour “Traits & Skills” conversations with our other Co-founders.
• Meet the team & offer

Friday Systems builds AI that allows industrial robots to adapt to dynamic warehouse environments. We focus on high-throughput palletizing and related tasks where classical approaches break down. Our stack is built around Deep Reinforcement Learning with modern sequence models.

Tiny team, zero bureaucracy, direct impact, salary + equity.

THE ROLE

Own the DRL stack end-to-end: formulation → algorithm design → large-scale training → evaluation → deployment. You’ll work directly with the CTO to turn cutting-edge DRL into production throughput at customer sites.

YOU WILL

• Design & ship DRL algorithms (PPO/SAC/DDQN and variants, based on encoders/cross-attention/pointer networks) for complex control & combinatorial optimization.

• Tackle stability & sample-efficiency: GAE, normalization, entropy/KL control, distributional/value-loss tuning, curriculum learning and reward shaping, .

• Launch multi-GPU training, parallel rollouts, efficient replay/storage, and reproducible experiment tooling.

• Productionize: clean PyTorch code, profiling, Dockerized services (FastAPI), AWS deployments, experiment tracking, dashboards.

• Collaborate with the C-Level Team to ensure product excellence and alignment with business strategy. Forge strong relationships with clients, effectively translating their needs into unique technology solutions.

• Build and nurture a high-performing team by attracting top talent. Provide mentorship and leadership to foster a culture of quality and innovation.

YOU HAVE

• Track record shipping RL beyond academic demos: you’ve led at least one end-to-end RL system from idea to production or a state-of-the-art benchmark in the last 3–5 years.

• Extensive Deep Learning, Reinforcement Learning & PyTorch expertise: You can implement several DRL algorithms from scratch, reason about root-cause performance drops and make informed decisions about next steps.

• Systems know-how: Python, Linux, Docker, Multi-GPU, Cloud (AWS).

• Math maturity: MDPs/Bellman operators, policy gradients, trust-region/KL, GAE/λ-returns, stability/regularization in on-policy vs off-policy regimes.

• Ownership: you’re comfortable being the primary owner for experiments, code quality, and results in a small team.

• Location/time zone: EU-based (CET±2) and able to travel occasionally to customer warehouses.

We are not considering entry-level or coursework-only profiles for this role.

HIRING PROCESS

• 30-min intro & mutual fit
• Deep technical session with CTO on your past RL work (no LeetCode, no homework)
• Two one-hour “Traits & Skills” conversations with our other Co-founders.
• Meet the team & offer

Friday Systems builds AI that allows industrial robots to adapt to dynamic warehouse environments. We focus on high-throughput palletizing and related tasks where classical approaches break down. Our stack is built around Deep Reinforcement Learning with modern sequence models.

Tiny team, zero bureaucracy, direct impact, salary + equity.

THE ROLE

Own the DRL stack end-to-end: formulation → algorithm design → large-scale training → evaluation → deployment. You’ll work directly with the CTO to turn cutting-edge DRL into production throughput at customer sites.

YOU WILL

• Design & ship DRL algorithms (PPO/SAC/DDQN and variants, based on encoders/cross-attention/pointer networks) for complex control & combinatorial optimization.

• Tackle stability & sample-efficiency: GAE, normalization, entropy/KL control, distributional/value-loss tuning, curriculum learning and reward shaping, …

• Launch multi-GPU training, parallel rollouts, efficient replay/storage, and reproducible experiment tooling.

• Productionize: clean PyTorch code, profiling, Dockerized services (FastAPI), AWS deployments, experiment tracking, dashboards.

• Collaborate with the C-Level Team to ensure product excellence and alignment with business strategy. Forge strong relationships with clients, effectively translating their needs into unique technology solutions.

• Build and nurture a high-performing team by attracting top talent. Provide mentorship and leadership to foster a culture of quality and innovation.

YOU HAVE

• Track record shipping RL beyond academic demos: you’ve led at least one end-to-end RL system from idea to production or a state-of-the-art benchmark in the last 3–5 years.

• Extensive Deep Learning, Reinforcement Learning & PyTorch expertise: You can implement several DRL algorithms from scratch, reason about root-cause performance drops and make informed decisions about next steps.

• Systems know-how: Python, Linux, Docker, Multi-GPU, Cloud (AWS).

• Math maturity: MDPs/Bellman operators, policy gradients, trust-region/KL, GAE/λ-returns, stability/regularization in on-policy vs off-policy regimes.

• Ownership: you’re comfortable being the primary owner for experiments, code quality, and results in a small team.

• Location/time zone: EU-based (CET±2) and able to travel occasionally to customer warehouses.

We are not considering entry-level or coursework-only profiles for this role.

HIRING PROCESS

• 30-min intro & mutual fit
• Deep technical session with CTO on your past RL work (no LeetCode, no homework)
• Two one-hour “Traits & Skills” conversations with our other Co-founders.
• Meet the team & offer

Friday Systems builds AI that allows industrial robots to adapt to dynamic warehouse environments. We focus on high-throughput palletizing and related tasks where classical approaches break down. Our stack is built around Deep Reinforcement Learning with modern sequence models.

Tiny team, zero bureaucracy, direct impact, salary + equity.

THE ROLE

Own the DRL stack end-to-end: formulation → algorithm design → large-scale training → evaluation → deployment. You’ll work directly with the CTO to turn cutting-edge DRL into production throughput at customer sites.

YOU WILL

• Design & ship DRL algorithms (PPO/SAC/DDQN and variants, based on encoders/cross-attention/pointer networks) for complex control & combinatorial optimization.

• Tackle stability & sample-efficiency: GAE, normalization, entropy/KL control, distributional/value-loss tuning, curriculum learning and reward shaping, …

• Launch multi-GPU training, parallel rollouts, efficient replay/storage, and reproducible experiment tooling.

• Productionize: clean PyTorch code, profiling, Dockerized services (FastAPI), AWS deployments, experiment tracking, dashboards.

• Collaborate with the C-Level Team to ensure product excellence and alignment with business strategy. Forge strong relationships with clients, effectively translating their needs into unique technology solutions.

• Build and nurture a high-performing team by attracting top talent. Provide mentorship and leadership to foster a culture of quality and innovation.

YOU HAVE

• Track record shipping RL beyond academic demos: you’ve led at least one end-to-end RL system from idea to production or a state-of-the-art benchmark in the last 3–5 years.

• Extensive Deep Learning, Reinforcement Learning & PyTorch expertise: You can implement several DRL algorithms from scratch, reason about root-cause performance drops and make informed decisions about next steps.

• Systems know-how: Python, Linux, Docker, Multi-GPU, Cloud (AWS).

• Math maturity: MDPs/Bellman operators, policy gradients, trust-region/KL, GAE/λ-returns, stability/regularization in on-policy vs off-policy regimes.

• Ownership: you’re comfortable being the primary owner for experiments, code quality, and results in a small team.

• Location/time zone: EU-based (CET±2) and able to travel occasionally to customer warehouses.

We are not considering entry-level or coursework-only profiles for this role.

HIRING PROCESS

• 30-min intro & mutual fit
• Deep technical session with CTO on your past RL work (no LeetCode, no homework)
• Two one-hour “Traits & Skills” conversations with our other Co-founders.
• Meet the team & offer