Ai Engineer [Ef810]

Detalles de la oferta

About us About the project We are embarking on an ambitious journey to help a leading Customer Experience (CX) global company.
This project centers on the design and deployment of state-of-the-art AI solutions, including chatbots, voicebots, intelligent document processing, among others.
Leveraging advancements in Large Language models like GPT, Anthropic, PaLM and other open-source models like LLaMA, this initiative stands at the vanguard of revolutionizing how our client interacts with their customers.
About you Every day there's a lot of new information in AI, from research papers to models.
It's hard to keep up.
You've used tools like LangChain, LlamaIndex and Pinecone to help you manage this.
With the rise of JavaScript developers, you also know about newer tools like LangChain.Js, Transformers.Js, and Vercel's AI SDK.
You understand the challenges and possibilities that LLMs bring to the table and are passionate about harnessing their potential in end-to-end solutions.
If spearheading projects that push the boundaries of what LLMs can achieve in a full-stack environment excites you, we are eager to co-create the future together.
About your day-to-day Critically select the best third-party AI and LLM models to perform AI solutions.
Monitor the performance of integrated models, looking out for latencies and ensuring user queries receive timely and accurate responses.
Handle large datasets, ensuring proper storage, access, and processing capabilities, especially when training or refining models.
Implement optimization techniques to ensure efficient model inference, reducing computational costs and improving response times.
Design and implement solutions that can scale to handle a high number of simultaneous user queries without degrading performance.
Collaborate with Back-End Engineers to ensure the infrastructure supports the demands of the language model, especially concerning GPU resources, memory, and storage.
Stay updated with advancements in the field of large language models, bringing in new techniques and practices to improve integration and user experience.
What is in it for you?
Indefinite full-time contract.
Follow your career ambition with growth opportunities (horizontal and vertical).
On-demand learning budget and ongoing educational company-wide trainings of relevant topics of our industry.
Comprehensive compensation package, including private medical insurance coverage and flexible remuneration on meals and transportation through Cobee.
Be part of our diverse communities and enjoy our meetups (Women in Tech, LGTBQ+, Wellbeing, City Lifestyle...).
Great international, inclusive and dynamic work environment (more than 20 nationalities!).
What you'll need +4 years of experience working on Machine Learning projects.
Experience with LLMs (GPT, LlaMA, Mistral, etc) and genuine curiosity to grow alongside the technologies.
Proficiency with Python.
Experience deploying microservices in AWS/Azure through CI/CD pipelines.
Knowledge of SQL, NoSQL and Pinecone or equivalent Vector Database.
Advanced communication skills in English.
Knowledge of GitLab/Github.
Knowledge of FastAPI.
Ability to work autonomously.
An academic background (BSc or MSc) in Computer Science or related fields, or equivalent experience.
What's nice to have Familiarity with .NET Core (C#).
Familiarity with frontend technologies, preferably Vue.Js/Typescript.
For this position, you must be a holder of a valid working permit for Spain.
M47 not only encourages but is actively working on empowering its diverse and inclusive talent.
M47 is committed to ensuring a non-discriminative workplace, work life and selection process and such decisions will not be influenced by race, color, religion, gender identity or expression, sexual orientation, disability, social and conjugal status, age or other applicable characteristics.
M47 prohibits discrimination and harassment of any kind and all employment is decided on the basis of qualifications, merit, and business needs.
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Salario Nominal: A convenir

Fuente: Talent_Dynamic-Ppc

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