**Company: EPAM Systems Job Description Summary: The role involves leading the Western European Data Science, ML/AI Practice, driving Generative AI, Advanced Analytics, and other AI competencies. It also requires collaboration with clients up to C-level, managing a European data team, and staying updated on ML/AI advancements. The ideal candidate should have a strong data science background, expertise in AI/ML technologies, and experience in engaging senior stakeholders. The role emphasizes hands-on experience in relevant areas, with proficiency in English and German preferred. EPAM offers benefits such as employee stock purchase plan, parental leave, and professional training. EPAM is a global provider of digital platform engineering services focused on creating innovative solutions and fostering continuous learning and growth. Job Description: ABOUT THE ROLE As one of the world’s leading engineering and digital transformation services providers, we are looking to expand our very successful Data Practice across Western Europe to meet huge increases in client demand for our services. We have a very rare opportunity for a data industry leader to join our Data Science, Machine Learning and Artificial Intelligence (ML/AI) Practice with a specific focus on leading and building the business in Western Europe. You will report to the Global Head of Data Science in the US and ultimately manage and continue to hire a sizeable team as the practice continues to grow. The role offers exciting opportunities to play a highly visible role in partnership with the global data leadership team to drive growth and our go to market strategy. We offer a highly entrepreneurial and fast paced environment empowering you to truly effect substantial change and shape the outcomes of our Data Science ML/AI business. We are open to hiring someone in the… UK, Germany, Netherlands or Switzerland and may consider other locations in Western Europe for the right person. RESPONSIBILITIES • Lead the Western European Data Science, ML/AI Practice • As a part of Global Data Practice team, work with other practices, as well as European Business leadership team, to help expand our footprint across Western Europe • Help drive Generative AI, Advanced Analytics, Computer Vision, NLP end-to-end competency development, encompassing capability scaling, opportunity intake, solutioning, staffing, and execution • Focus on practical AI application frameworks, including Data, MLOps, and LLMOps as well as actively participate in the development of Responsible AI, ESG, AI Security offerings • Assist in the development of enterprise transformation offerings, with pragmatic AI adoption as a major driver for productivity enhancement and the establishment of new revenue streams • Drive vertical (business) and horizontal (enablement) cross-organizational, multi-disciplinary teams to champion an AI-first product vision • Assist in forming a practical vision for AI’s impact on productivity (SDLC/Engineering, customer centers, etc.) • Collaborate with client partners up to C-level to bring AI products and programs to life whilst maintaining strong long lasting relationships, ensuring their satisfaction through effective delivery to maximize growth • Support sales / pre-sales activities by assessing Data opportunities, responding to RFP’s, creating proposals and presentations • Manage and act as a mentor to a multi-disciplinary European data team of Lead Data Scientists, Data Architects, Data Tech Consultants up to and including Senior Director level fostering their professional growth and development across ML/AI • Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate • Attend and speak at relevant industry events and conferences showcasing EPAMs extensive and high quality delivery capabilities REQUIREMENTS • Bachelor’s, Master’s or PhD in Computer Science, Data Science or a related field or extensive relevant work experience • Very strong hands-on background in data science, understanding of AI/ML technologies and concepts • Good grasp on AL/ML operationalization, MLOps, Data Platforms • Industry visionary, avid technologist at heart and a senior proven leader who can drive a Data Science, ML/AI Practice in a large consulting organization • Extensive work history across Data technology and business with the ability to comfortably interact with colleagues and clients at all levels • Proven track record in designing and implementing ML/AI solutions and end-to-end competency development • Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects • Exceptional ability to drive C-level client engagements and demonstrate the full extent of EPAM’s capabilities and market offering • Able to think outside the box, drive end-to-end initiatives and engagements and understand the complexity of driving changes in a global multinational organization • This role is not exclusively focused on high level strategy/team management but a robust tech background with hands-on experience in the relevant areas highlighted is absolutely essential • Fluent English speaker is required with German also being preferred OUR BENEFITS INCLUDE • EPAM Employee Stock Purchase Plan (ESPP) • Enhanced parental leave • Extended pension plan • Daily sickness allowance insurance • Hybrid working opportunities • Global business travel medical and accident insurance • Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more • EPAM Switzerland was named a Top Company 2022, 2023 & 2024 by Kununu for its people centric culture built on life-long learning • Certain benefits and perks may be subject to eligibility requirements ABOUT EPAM • EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential ADDITIONAL • Please note that any offers will be subject to appropriate background checks • We do not accept CVs from recruiting or staffing agencies • For this position, we are able to consider applications from the following • Swiss nationals • EU/EFTA nationals • Third-country nationals based in Switzerland with an appropriate work permit • Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits
Company:EPAM Systems
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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.
