Gerente de Diseño e Ingeniería / Fotovoltaica y BESS

The Workshop; Málaga; Presencial; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A leading company in big data analytics is seeking a Senior ML / NLP Researcher in Málaga, Spain. You will be pivotal in creating innovative data products and engaging with clients to enhance financial decision-making. The role requires expertise in NLP, machine learning, and programming, offering competitive compensation and a dynamic work environment.

Servicios

Competitive Salary

Continuous learning support

Free shuttle bus service

Formación

• 5+ years of industry experience in NLP.
• Strong understanding of state-of-the-art language models.
• Experience with deep learning frameworks.

Responsabilidades

• Develop data-driven solutions enhancing external products.
• Optimize processes for curating Knowledge Graphs.
• Stay informed about ML and NLP industry trends.

Conocimientos

Natural Language Processing (NLP)

Machine Learning (ML)

Quantitative Analysis

Problem Solving

Programming in Python

Educación

Master’s or PhD in a relevant field

Herramientas

Pytorch

HuggingFace

SQL

Descripción del empleo

RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. Our clients include the most successful hedge funds, banks, and asset managers in the world.

About us

At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.

Join a Company that is Powering the Future of Finance with AI.

RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.com, a next-generation platform aimed at transforming financial decision-making.

RavenPack is searching for a Senior ML / NLP Researcher to join our Data Solutions Research Team at our Spanish headquarters. We offer competitive compensation and a fun working environment. Relocation assistance is available.

As a ML / NLP Researcher you will play a key role creating innovative data products, both supporting internal processes and by engaging directly with clients as part of the product discovery process, allowing you to gather feedback and iterate on development to deliver impactful solutions.

The ability to communicate effectively in English both in writing and verbally is a must.

Only candidates with EU legal working status will be considered.

Your Responsibilities :

• Collaborate with a team of dedicated professionals to develop data-driven solutions that directly enhance our external products as well as the internal tools and processes that improve the efficiency and effectiveness of those.
• Apply your expertise to tackle real-world challenges, demonstrating the benefits of systematic, data-driven processes. These can range from optimizing systematic processes for curating and maintaining our Knowledge Graphs, and enhancing document contextualization for improved retrieval, to fine-tuning large language models (LLMs) for specialized tasks, and coordinating various agents within LLM-driven workflows, among other possibilities.
• Stay informed about industry trends and advancements in Machine Learning (ML) and Natural Language Processing (NLP) to ensure our solutions remain competitive and relevant.

What We're Looking For :

• A Master’s or PhD in a relevant field, with practical, hands-on experience in Natural Language Processing (NLP) and a strong understanding of state-of-the-art language models.
• 5+ years of industry experience, contributing to business growth.
• Exceptional quantitative, analytical, and problem-solving skills, with a proven ability to apply logical and mathematical reasoning to a variety of challenges.
• Experience using deep learning frameworks (Pytorch, HuggingFace, etc.).
• Familiarity with machine learning algorithms and statistical models for time series forecasting.
• A clear and precise communicator who thrives in collaborative environments, working effectively with colleagues from diverse backgrounds and areas of expertise.
• Strong programming experience in Python and familiarity with SQL or other database languages.

Desired Skills :

• A proven track record of contributing to original research, with a comfort level in exploring new and uncharted areas while maintaining clarity of purpose.
• Experience in building and coordinating various LLM agents to enhance complex workflows.
• Strong project management skills, ensuring efficient execution and timely delivery of data projects.
• Ideal candidates would have some financial domain expertise.

What's in it for You?

• International Culture : With its headquarters in Marbella, Spain, and presence in New York and London, RavenPack takes pride in being a truly diverse global organization.
• Competitive Salary : In RavenPack, we believe that your time and experience needs to be fairly rewarded.
• Continuous learning : We provide the support needed to grow within the team.
• Innovation : Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.
• Shuttle bus : From Malaga, Fuengirola, La Riviera, and Estepona is available for free from the company.

Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!).

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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