**Company: NES Fircroft Job Description Summary: NES Fircroft is looking for a Machine Learning Engineer for a 6-month contract in Central Paris, France. The candidate must be fluent in French and English and have at least 3 years of experience in Python, MLOps, DevOps, Databricks, AWS/Azure, GitHub, CI/CD, Terraform, IaC. The engineer will be responsible for implementing MLOps principles, optimizing data science code templates, contributing to technological choices, and participating in cross-functional activities within the organization. The ideal candidate will have strong skills in Python, terraform, IaC, deploying ML models on Azure or AWS, and experience in hexagonal Architecture. Must have a good command of git and initial DevOps experience. Medior or Senior level experience required in python development and MLOps. Skills required include Python, MLOps, DevOps, Databricks, and AWS/Azure. Job Description: Machine Learning Engineer – 6 Months Contract - Central Paris France CV’s TO BE IN ENGLISH Must speak fluent French and English Hybrid working 3 days on site, 2 days remote Essential Skills – Python, MLOps, DevOps, Databricks, AWS/Azure, GitHub, CI/CD, Terraform, IaC. Minimum of 3 years experience Medium to senior level role Machine Learning engineer objectives and deliverables My client is looking for a Machine Learning Engineer to participate in the implementation of transversal tech and MLOps topics to accelerate the development of data science products The Machine Learning Engineer must have: • Implement the principles of MLOps using best practices in data science and software development (continuous integration, continuous deployment, monitoring, model management, etc.). • Develop and optimize data science code templates that will accelerate data science exploration and interaction with users. • Contribute to technological choices and innovation. Cross-functional… contributions: • * Participate in the design/maintenance of new tools/packages common to the organization. • Challenge the team’s vision. • Participate in CoPs (Communities of Practice). Machine Learning Engineer required Skills : • * Master Python and software development (packaging, versioning, etc.) • Have experience with terraform and IaC • Have experience deploying machine learning models on Azure or AWS • Experience in hexagonal Architecture would be desired • An appetite for software craftmanship / clean code • A good command of git and initial experience in a DevOps context (CI/CD, with GitHub or similar). • Experience in Azure, AWS, Databricks cloud technologies would be a plus. Experience : Medior or Senior Successful experience of at least 3 years in python development and at least 2 years in MLOps (Azure, AWS). Skills required Python ++++ Senior MLOps +++ Medior DevOps +++ Medior Databricks++ A plus AWS/Azure ++ A plus Skills required Competence level - Git Confirmed - IAC Confirmed - AWS CLOUD Confirmed - Python Expert - MLOPS Expert - DevOps Advance - Azure Cloud Confirmed - Databricks Advance -PYSPARK Confirmed - Terraform Confirmed - HEXAGONAL ARCHITECTURE With over 90 years’ combined experience, NES Fircroft (NES) is proud to be the world’s leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients
Company:NES Fircroft
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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.
