**Company: ITech Consult Job Description Summary: The company ITech Consult is looking for a Senior ML Engineer/Python Developer to work on a project for a pharmaceutical company in Basel. The ideal candidate should have strong programming skills in Python, experience in REST API design, CI/CD and DevOps, familiarity with high-performance computing, and a background in machine learning engineering. The candidate should also have knowledge of Large Language Models and multi-agent frameworks. The role involves providing agile software development services for the “Target Evaluator” project and technical consulting services. The candidate should have at least 5 years of experience in a similar role and fluent English language skills. The start date for the position is August 15, 2024, and the duration is 6 months, with the possibility of extension. Interested candidates can apply via the link in the advertisement. Job Description: ML Engineer/Python Developer (m/f/d) - Python/CI/CD/REST API design/ML engineering/EnglishProject: For our customer a big pharmaceutical company in Basel we are looking for ML Engineer/Python Developer (m/f/d).Background: We are looking for 2 candidates with quite similar profiles: Python Developer and a ML Engineer. In Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed. This position is located in Data Products & Platforms, a chapter within the Data & Analytics function, which pushes boundaries of drug discovery and development, enabling pRED to achieve its goals. The task is to… develop the pRED Data & Analytics “Target Evaluator” pilot project. This project will be executed in close collaboration with colleagues from Translational Medicine Neuroscience. The focus will be on implementing the project requirements to develop a Minimum Viable Product (MVP). The two Software Engineers will work to integrate selected open-source multi-agent systems towards a comprehensive, unbiased ranking framework for new drug target proposals, with the goal to demonstrate feasibility and value of such an approach. This role requires good skills in software development and team working. One profile is expected to be an ML engineer, the second one is expected to be a Python developer.The perfect candidate. Strong Programming Skills: Proficiency in Python, with a solid understanding of software development principles and best practices. REST API Design: Deep knowledge and experience in designing and implementing RESTful APIs. CI/CD and DevOps: Experience with Continuous Integration/Continuous Deployment using GitLab, GitOps, and Kubernetes for hosting services is advantageous. Familiarity with implementing user interfaces is a plus. High-Performance Computing: Prior experience working in HPC environments is beneficial. Machine Learning Engineering needed for an ML Engineer position: Some experience in machine learning engineering or MLOps, ideally within the life sciences domain, to support the development of data-driven solutions. LLMs and Multi-Agent Framework required for ML Engineer position: Knowledge of Large Language Models (LLMs) and LLM-based multi-agent frameworks from the perspective of an engineer is required.Tasks & Responsibilities:. Provide agile software development services for the “Target Evaluator” project according to the project plan * Provide technical consulting services to support the project teamMust Haves:. Educational background: Bachelor or higher education * Professional background in a similar role: around 5 years experience * IT skills: Python, CI/CD, REST API design, ML engineering * Language skills: English fluentNice to Have:. ML engineering * experience in high performance computing * user interface designReference No.: 923553OK Role: ML Engineer/Python Developer (m/f/d) Industry: Pharma Workplace: Basel Workload: 100% Start: August 15, 2024 (latest Start Date: November 1, 2024) Duration: 6 months (extension is possible) Deadline: July 24, 2024If you are interested in this position, please send us your complete dossier via the link in this advertisement. About us: ITech Consult is an ISO 9001:2015 certified Swiss company with offices in Germany and Ireland. ITech Consult specializes in the placement of highly qualified candidates for recruitment in the fields of IT, Life Science & Engineering. We offer staff leasing & payroll services. For our candidates this is free of charge, also for Payroll we do not charge you any additional fees
Company:ITech Consult
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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.
