**Company: Montreal Associates Job Description Summary: The job is for a Customer-Facing Machine Learning Engineer at Montreal Associates, based in Madrid. The responsibilities include working with customers to design solutions using data, improving data quality, deploying machine learning models, and managing CI/CD pipelines. The requirements include 3+ years of experience in Python and Java programming languages, experience with Spark, knowledge of machine learning models, and experience with cloud platforms. The job is full-time with travel required to customer sites. The salary range is 45-55k. If interested, candidates can send their CV to Montreal Associates. Job Description: We are looking for a Customer-Facing Machine Learning Engineer to join our growing team of data experts. Responsibilities • Work directly with customers to understand their greatest problems and design and implement solutions using data. • Acquire, clean, and improve data quality through Extract, Transform, Load (ETL) processes to ensure data readiness for analysis and modeling. • Deploy and integrate machine learning models into production environments, ensuring seamless functionality across various platforms such as APIs, pipelines, automation systems, and chatbots. • Implement and manage continuous integration/continuous deployment (CI/CD) pipelines to automate testing, building, and deployment processes. Requirements: • +3 years of experience in Python and Java (Spark) programming languages. • +3 years of experience with Spark for large-scale data processing. • Understanding and experience with machine learning models, both supervised (e.g., regressions, random forests, SVMs… and unsupervised (e.g., PCA, clustering). • Hands-on experience with cloud platforms such as Azure and AWS. Conditions: • Full-time job • Location: Madrid (hybrid) • The role requires travel to customer sites one or two times a week. • Budget: 45-55k If you like it, send me your CV today! Montreal Associates is acting as an Employment Agency in relation to this vacancy
Company:Montreal Associates
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
