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Senior Data Scientist

Senior Data Scientist

amarisGerona, Cataluña, España
Hace 9 días
Descripción del trabajo

Senior Data Scientist

17006 Girona, Catalonia Amaris Consulting

Hoy

17006 Girona, Catalonia SEGULA Technologies

Hoy

Do you want to be part of an innovative company present in key sectors such as automotive, rail, energy, and aerospace, among others?

At SEGULA TECHNOLOGIES, we are looking for people like you.

The company has experienced rapid growth in recent years and is currently present in more than 30 countries with over 15,000 employees. We support our clients throughout all stages of the product lifecycle.

SEGULA TECHNOLOGIES has a broad team of experts in engineering, design, modeling, and simulation, as well as digital technologies.

We work in an inclusive and respectful environment where everyone is valued and has equal opportunities to develop their potential.

We are looking for a Big Data Engineer with strong expertise in regulatory environments, who enjoys building scalable and innovative cloud-based solutions.

Key Responsibilities

  • Design, develop, and optimize data pipelines with Spark / Scala.
  • Collaborate with business analysts and data teams to translate requirements into technical solutions.
  • Ensure quality, documentation, and automated testing of developments.
  • Work with AWS services such as EMR, Glue, and Lambda, leveraging Terraform for infrastructure as code.
  • Align with technical best practices and regulatory requirements.

Requirements

  • More than 3 years of experience in Spark / Scala within Big Data environments (Hadoop).
  • Hands‑on experience with AWS (EMR, Glue, Lambda) and Terraform.
  • Solid knowledge of Unix / Linux, Bash / Python scripting, and code repositories (Git, Maven).
  • Experience in DevOps practices (Jenkins, CI / CD).
  • Advanced English (C1) – mandatory.
  • Background in Financial Services / Banking.
  • Advanced SQL knowledge and batch process control.
  • Experience with BI platforms (ideally Power BI).

    • We offer

  • 100% Remote – Work from anywhere in Spain.
  • Salary based on the candidate's qualifications and experience.
  • Good work environment : professional and highly specialized.
  • Opportunity to work in a multinational company that is growing nationally and internationally.
  • Internal promotion based on your own goals.

    • Machine Learning Engineer

    17006 Girona, Catalonia European Tech Recruit

    Hoy

    This is a great opportunity to work with one of the biggest growing tech start‑ups based in Spain, they are well‑funded and one of the most well‑known quantum software companies in Europe. They are a provider of hyper‑efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence, across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry, delivering practical applications and tangible value with the use of their new AI & LLM product.

    Job Overview

    In this role you will have the opportunity to leverage cutting‑edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross‑functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting‑edge research, and shape the future of LLM and NLP technologies.

    Responsibilities

  • Design and develop new techniques to compress Large Language Models based on quantum‑inspired technologies to solve challenging use cases in various domains.
  • Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine‑tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
  • Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
  • Act as a domain expert in the field of LLMs, understanding domain‑specific problems and identifying opportunities for quantum AI‑driven innovation.
  • Maintain comprehensive documentation of LLM development processes, experiments, and results.
  • Participate in code reviews and provide constructive feedback to team members.

    • Required Qualifications

  • Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
  • 3+ years of hands‑on experience with deep learning models and neural networks, preferably working with Large Language Models and Transformer architectures, or computer vision models.
  • Hands‑on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
  • Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
  • Excellent problem‑solving, debugging, performance analysis, test design, and documentation skills.
  • Strong understanding with the fundamentals of GPU architectures.
  • Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
  • Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment.
  • Excellent written and verbal communication skills, with the ability to work collaboratively in a fast‑paced team environment and communicate complex ideas effectively.
  • Previous research publications in deep learning is a plus.

    • Key Words

    Large Language Models / LLM / Machine Learning / AI / Quantum Computing / GPU Architecture / GPGPU / GPU Farms / Multi‑GPU / AWS / Kubernetes Clusters / DeepSpeed / SLURM / RAY / Transformer Models / Fine‑tuning / Mistral / Llama

    By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice.

    Senior Machine Learning Engineer

    17006 Girona, Catalonia European Tech Recruit

    Hoy

    This is a great opportunity to work with one of the biggest growing tech start‑ups based in Spain, they are well‑funded and one of the most well‑known quantum software companies in Europe. They are a provider of hyper‑efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence, across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry, delivering practical applications and tangible value with the use of their new AI & LLM product.

    Job Overview

    In this role you will have the opportunity to leverage cutting‑edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross‑functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting‑edge research, and shape the future of LLM and NLP technologies.

    Responsibilities

  • Design and develop new techniques to compress Large Language Models based on quantum‑inspired technologies to solve challenging use cases in various domains.
  • Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine‑tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.
  • Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
  • Act as a domain expert in the field of LLMs, understanding domain‑specific problems and identifying opportunities for quantum AI‑driven innovation.
  • Maintain comprehensive documentation of LLM development processes, experiments, and results.
  • Participate in code reviews and provide constructive feedback to team members.

    • Required Qualifications

  • Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
  • 3+ years of hands‑on experience with deep learning models and neural networks, preferably working with Large Language Models and Transformer architectures, or computer vision models.
  • Hands‑on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
  • Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
  • Excellent problem‑solving, debugging, performance analysis, test design, and documentation skills.
  • Strong understanding with the fundamentals of GPU architectures.
  • Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
  • Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment.
  • Excellent written and verbal communication skills, with the ability to work collaboratively in a fast‑paced team environment and communicate complex ideas effectively.
  • Previous research publications in deep learning is a plus.

    • Key Words

    Large Language Models / LLM / Machine Learning / AI / Quantum Computing / GPU Architecture / GPGPU / GPU Farms / Multi‑GPU / AWS / Kubernetes Clusters / DeepSpeed / SLURM / RAY / Transformer Models / Fine‑tuning / Mistral / Llama

    By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice.

    Data Scientist

    17006 Girona, Catalonia Amaris Consulting

    Hoy

    Take your career to the next level with Amaris Consulting as a Data Scientist – GenAI. Become part of an international team, thrive in a global group with a turnover of €800 million and over 1,000 clients worldwide, and work in an agile environment planning and monitoring projects.

    The ideal candidate has solid experience in Active Directory, Azure, Office 365, Windows, Mac OS, JIRA, and warehouse management, with strong incident handling skills.

    Join Amaris Consulting, where you can develop your potential and make a real impact within the company.

  • 4 years of experience as a Data Scientist – GenAI.
  • Strong background in Machine Learning & Deep Learning (model development & deployment).
  • Solid experience designing, developing, and maintaining NLP‑driven systems for task automation, insights generation, and workflow optimization.

    • Data Scientist

    17006 Girona, Catalonia Intelequia

    Hoy

    Data Scientist – Remote

    17006 Girona, Catalonia JR Spain

    Hoy

    A Data Scientist is needed at Capitole to work on data solutions in a global environment. Requires Python, PySpark, and SQL skills.

    Principal Data Scientist

    17006 Girona, Catalonia PropHero

    Hoy

    At PropHero we are seeking a hands‑on Data Scientist Lead to guide our AI / ML strategy and execution. This role combines deep technical expertise in classical machine learning with practical experience in generative AI, ensuring our solutions are both state‑of‑the‑art and production‑ready. You will be responsible for leading a small but powerful team, driving end‑to‑end development of ML models, and ensuring that PropHero continues to innovate across multiple product lines.

    Responsibilities

  • Team Leadership & Strategy : Lead a small, multidisciplinary AI / ML team, ensuring alignment with product goals while fostering a culture of technical excellence.
  • Model Development : Design, implement, and optimize ML models for classification, regression, clustering, and forecasting tasks.
  • Training, Evaluation & Testing : Set up and oversee pipelines for training, evaluating, and testing models, ensuring robustness, accuracy, and reproducibility.
  • Inference & Deployment : Work with engineers to operationalize models, ensuring efficient inference and integration into production systems.
  • Generative AI Applications : Explore and build solutions leveraging LLMs, vector databases, retrieval‑augmented generation (RAG), and agent frameworks (e.g., LangChain, LangGraph).
  • Collaboration : Partner with AI Engineers, Data Scientists, and product teams to deliver practical, scalable, and impactful AI / ML features.
  • Innovation & Research : Stay ahead of industry trends in both classical ML and GenAI, translating cutting‑edge research into practical applications.
  • Mentorship : Provide guidance, code reviews, and knowledge sharing to support the growth of junior team members.

    • Requirements

  • Proven experience (5+ years) as a Data Scientist / ML Engineer, with hands‑on coding and model building.
  • At least 1 year of leadership experience : ability to mentor, review code, and guide a small team.
  • Strong background in classical ML (scikit‑learn, XGBoost, LightGBM, regression / classification / clustering algorithms, etc.).
  • Solid understanding of ML lifecycle : training, testing, inference and continuous evaluation.
  • Practical experience with GenAI / LLM frameworks (e.g., LangChain, HugginFace, CrewAI).
  • Strong coding skills in Python, with ability to write clean, maintainable, and efficient code.
  • Experience designing experiments, with strong statistical foundations to ensure model robustness, fairness, and reproducibility.
  • Familiarity with cloud platforms (AWS preferred) and MLOps practices.
  • Excellent problem‑solving and communication skills, with the ability to work cross‑functionally.
  • Fluent English for effective communication in a distributed global team.

    • What benefits can PropHero bring you?

  • We work remotely and in a flexible environment. This means we work with OKRs, always looking to grow the business, and we work with people worldwide, so we might have to adjust to different time zones.
  • Learning and development. No matter where you come from, no matter what you have studied, you will always have room to learn from others and develop yourself by participating in an open and transparent environment full of experiences and creative ideas.
  • Great Teamwork. If you join us you will be part of a growing strong team composed of different levels of seniority, where decision and ownership is shared.
  • Early‑stage Startup and opportunity for career growth. You will be part of the growth of a powerful startup with international projection and you will be able to gain more responsibility.
  • Competitive economic package.

    • At PropHero, we are committed to fostering an inclusive and equitable workplace where diverse perspectives and backgrounds are not only welcomed but celebrated. We believe that diversity drives innovation and empowers us to build stronger connections with our clients and communities.

    PropHero is an equal opportunity employer and is dedicated to ensuring a hiring process free from discrimination based on race, ethnicity, gender, age, disability, religion, sexual orientation, or any other characteristic protected by law. Our mission is to create a workplace where everyone feels valued, supported, and empowered to achieve their full potential.

    Principal Data Scientist – Remote

    17006 Girona, Catalonia PropHero

    Hoy

    At PropHero we are seeking a hands‑on Data Scientist Lead to guide our AI / ML strategy and execution. This role combines deep technical expertise in classical machine learning with practical experience in generative AI, ensuring our solutions are both state‑of‑the‑art and production‑ready. You will be responsible for leading a small but powerful team, driving end‑to‑end development of ML models, and ensuring that PropHero continues to innovate across multiple product lines.

    Responsibilities

  • Team Leadership & Strategy : Lead a small, multidisciplinary AI / ML team, ensuring alignment with product goals while fostering a culture of technical excellence.
  • Model Development : Design, implement, and optimize ML models for classification, regression, clustering, and forecasting tasks.
  • Training, Evaluation & Testing : Set up and oversee pipelines for training, evaluating, and testing models, ensuring robustness, accuracy, and reproducibility.
  • Inference & Deployment : Work with engineers to operationalize models, ensuring efficient inference and integration into production systems.
  • Generative AI Applications : Explore and build solutions leveraging LLMs, vector databases, retrieval‑augmented generation (RAG), and agent frameworks (e.g., LangChain, LangGraph).
  • Collaboration : Partner with AI Engineers, Data Scientists, and product teams to deliver practical, scalable, and impactful AI / ML features.
  • Innovation & Research : Stay ahead of industry trends in both classical ML and GenAI, translating cutting‑edge research into practical applications.
  • Mentorship : Provide guidance, code reviews, and knowledge sharing to support the growth of junior team members.

    • Requirements

  • Proven experience (5+ years) as a Data Scientist / ML Engineer, with hands‑on coding and model building.
  • At least 1 year of leadership experience : ability to mentor, review code, and guide a small team.
  • Strong background in classical ML (scikit‑learn, XGBoost, LightGBM, regression / classification / clustering algorithms, etc.).
  • Solid understanding of ML lifecycle : training, testing, inference and continuous evaluation.
  • Practical experience with GenAI / LLM frameworks (e.g., LangChain, HugginFace, CrewAI).
  • Strong coding skills in Python, with ability to write clean, maintainable, and efficient code.
  • Experience designing experiments, with strong statistical foundations to ensure model robustness, fairness, and reproducibility.
  • Familiarity with cloud platforms (AWS preferred) and MLOps practices.
  • Excellent problem‑solving and communication skills, with the ability to work cross‑functionally.
  • Fluent English for effective communication in a distributed global team.

    • What benefits can PropHero bring you?

  • We work remotely and in a flexible environment. This means we work with OKRs, always looking to grow the business, and we work with people worldwide, so we might have to adjust to different time zones.
  • Learning and development. No matter where you come from, no matter what you have studied, you will always have room to learn from others and develop yourself by participating in an open and transparent environment full of experiences and creative ideas.
  • Great Teamwork. If you join us you will be part of a growing strong team composed of different levels of seniority, where decision and ownership is shared.
  • Early‑stage Startup and opportunity for career growth. You will be part of the growth of a powerful startup with international projection and you will be able to gain more responsibility.
  • Competitive economic package.

    • At PropHero, we are committed to fostering an inclusive and equitable workplace where diverse perspectives and backgrounds are not only welcomed but celebrated. We believe that diversity drives innovation and empowers us to build stronger connections with our clients and communities.

    PropHero is an equal opportunity employer and is dedicated to ensuring a hiring process free from discrimination based on race, ethnicity, gender, age, disability, religion, sexual orientation, or any other characteristic protected by law. Our mission is to create a workplace where everyone feels valued, supported, and empowered to achieve their full potential.

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