**Company: Machine Learning Reply Job Description Summary: At Machine Learning Reply in Austria, we are looking for Full Stack Engineer consultants with a strong technical background to work on data science projects. The company, part of a larger consultancy group, offers end-to-end cloud-based solutions in Data Science for various industries. The role involves developing software solutions, working closely with clients, and enforcing best practices. The salary offered is in line with industry standards, and benefits include training, social programs, flexible work environment, and access to projects across industries. Requirements include completing studies in relevant fields, expertise in programming languages and technologies, and experience with agile development concepts. Join Machine Learning Reply as a Data Strategy Consultant now. Job Description: Job Description At Machine Learning Reply Austria we strive to work on leading-edge data science projects with our clients for which we are seeking Full Stack Engineer consultants with a strong technical background. Machine Learning Reply, with its sister companies in Italy and Germany and over 8500 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science, Cloud technologies and the right organisational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners. We offer tailor-made end-to-end cloud-based solutions in the Data Science area that cover the entire project life cycle – from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready algorithms. We have a vast expertise in every step of the Data Science implementation spectrum in…… all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimise already existing processes and products while simultaneously adapting to cloud technologies. Tasks Use your software engineering know-how and work closely with our customers to help them assess and solve their most relevant pain points! • Develop E2E software solutions in a modern and agile environment • Work in an innovative and international team in projects with high business impact • Play an important role in the client’s decision making • Ideate and design the architecture of applications and solutions to fit the client’s needs • Enforce best practices for coding and developing • Work with high-end open source and licensed technologies What we offer you: • We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant) depending on your previous experience. • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.) • Very active group social program – including conference funding, team building, group events, Reply Exchange • Recognition for Innovation to foster your personal development • Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries) • Office space in downtown Vienna with access to Stammstrecke • Training and certification encouraged • Home-office contracts • State-of-the-art work equipment • Award winning office spaces for an excellent work experience • Public transport ticket within Vienna • Gym-membership subsidy for a gym of your choice • Flexible work environment between client, Reply office and remote work Requirements Qualifications: • We are looking forward to your completed studies in computer science, mathematics, physics or comparable • Fluent in at least one of the following programming languages: Python, Java, JavaScript, TypeScript, Rust • Practical experience in Backend technologies such as NodeJS, Spring/SpringBoot, Flask/Django, REST APIs, etc. • Frontend technologies such as Angular, React, NextJs, Tailwind, TRPC etc. • Hands-on experience with development of productive E2E web services and usage of related frameworks (e.g. Swagger, OpenAPI, Postman) and virtualisation technologies including Docker, LXC, VMs • An extensive experience of working with version control tools, such as Git and CI/CD Pipelines • Experience with agile development concepts like Scrum • Excellent English skills, good German skills, and willingness to travel if required by the project What are you waiting for? Join our team at Machine Learning Reply as a Data Strategy Consultant Company: Machine Learning Reply Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Austria, Industry, Machine Learning, NLP
Company:Machine Learning Reply
Qualifications:
Language requirements:
Specific requirements:
Educational level:
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.
