Senior Machine Learning Engineer

Detalles de la oferta

The engineer will participate in pre-sales, discovery phases of projects and lead projects.
Essential FunctionsLead a Gen-AI project teamCommunication with stakeholdersQualificationsPythonBest practices for prompt engineeringHow LLM can be used in applications for a variety of tasksNLPUnderstanding of typical NLP problems: classification, NER, summarization, question answering, sentiment analysis, etc.Theoretical intuitive understanding of how Transformers work (tokenization, attention, etc).Word and sentence embeddingsVector searchVector databases, performance tuningDocument chunking techniquesChain of Thoughts, DSP, and other techniquesAgents and toolsWould be a PlusPreferable, the engineers are expected to have IT services/consulting experience.Proficient in developing LLM-powered systems using advanced prompt engineering techniques, RAG and agentic design patterns.
Experienced with frameworks like LangChain, LlamaIndex, and DSPy.Familiar with evaluation approaches and metrics for different types of LLM-based systems.Experienced with keyword and vector search methods, including understanding of their underlying algorithms.
Familiar with popular vector search engines.Competent in various document understanding models and techniques to parse complex documents and implement effective chunking strategies for RAG systems.Familiar with LLM and embedding models fine-tuning techniques.Competent in using joint vision-language and generative models to solve various problems related to image generation, visual question answering, and multi-modal search.
Familiar with diffusion models and associated techniques like LoRA, Dreambooth, and ControlNet.Understanding of the challenges and risks associated with the development of Generative AI systems and how to mitigate them.Familiar with various architecture design patterns for different types of LLM-based applications such as chatbots, text2sql, document understanding, etc.
Familiar with various approaches to scalability and cost reduction in Generative AI systems.Ability to stay updated with the latest advancements in Generative AI and integrate emerging technologies to drive innovation and improve the performance of AI systems.Familiar with Responsible AI principles and Human-AI interaction design best practices.We OfferFlexible working hours (full-time).One "Flex Day" off per month.10 business days of vacation.Swiss Medical health coverage.Permanent contract.
Salary updates every four months (PESOS ARG).Access to Udemy and Platzi for professional training.Employee Assistance Program (financial, nutritional, psychological support, etc.
).Fully covered English classes during working hours.Discounts on Club de Beneficios and Samsung products.Birthday day off.About UsMobile Computing is joining Grid Dynamics (NASDAQ: GDYN), a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services.
Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.
A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience.
Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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Grid Dynamics is an equal opportunity employer.
We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category.
All employment is decided on the basis of qualifications, merit, and business need.

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