About UsRavenPack 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. RavenPack's products allow clients to enhance returns, reduce risk and increase efficiency by systematically incorporating the effects of public information in their models or workflows. Our clients include the most successful hedge funds, banks, and asset managers in the world!
We are looking for an experienced technologist with a background in Machine Learning and Natural Language processing to help lead our efforts in developing and implementing advanced text processing applications.
You will be reporting to the Analytics Manager and you will interact with peers across various lines of business and technical teams to support projects that will span text classification, big data analysis and product development among others.
The ability to communicate effectively in English, both in writing and verbally is a must. Knowledge of Spanish is not a business requirement.
Responsibilities - What You'll Be Doing: Apply modern NLP technologies, including but not limited to ML techniques, to enhance event matching in English language text.
Highlight, specify and lead projects using ML and related technologies to improve current systems or add new capabilities.
Work as an engineer, building and implementing in a direct, hands-on way.
Collaborate with other team members, mostly non-ML specialists, and help them integrate systems with your work.
Keep up with technological advancement to ensure that we are up-to-date and taking advantage of all possibilities open to us.
Collaborate with cross-functional teams to ensure that our ML infrastructure meets the needs of our business and users.
What We're Looking For Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
A strong foundation in machine learning and natural language processing (NLP)
At least 3 years of industry experience working as a Machine Learning Engineer, Data Scientist, or a related role, specifically focusing on NLP and text processing tasks.
Strong software engineering skills, including version control and familiarity with software development best practices.
Proven track record of successfully developing and deploying machine learning models for NLP applications.
Solid understanding of machine learning algorithms, including both traditional and deep learning approaches, and practical experience in applying them to real-world problems.
Proficiency in Python, and experience with relevant libraries and frameworks such as TensorFlow or PyTorch.
Understanding of state-of-the-art NLP architectures and frameworks like Hugging Face's Transformers.
Knowledge of natural language processing techniques such as sentiment analysis, named entity recognition, part-of-speech tagging, topic modeling, and text summarization.
Effective communication and teamwork skills.
The ability to take a project from initial idea to final production implementation and ongoing support.
Nice To Have Familiarity with advanced NLP techniques, such as word embeddings (e.g. Word2Vec, GloVe), attention mechanisms, transformer models (e.g. BERT, GPT) and sequence-to-sequence models.
Experience with Masked Language Model (MLM) fine tuning pipelines and Sentence Transformers.
Experience with researching and implementing novel machine learning models and techniques to improve NLP tasks.
Knowledge of cloud platforms such as AWS and experience deploying machine learning models in production environments using Docker or similar.
Understanding of scalable and distributed systems for deploying ML models in a production environment.
Familiarity or interest in Common Lisp, Scheme or similar.
What's in it for you You will work with the latest technologies.
Our Headquarters is located in Marbella. Following the onboarding period, we offer a hybrid work model, allowing for up to 2 days remote per week.
Free Company shuttle bus from Malaga, Fuengirola, Riviera and Estepona.
You will have ownership of projects working in a collaborative environment where we will value your contribution.
You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
As we encourage continuous learning, we will support your ongoing training.
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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