Cargo: Product technology engineer
Empresa:
Descrição do Vaga: Detalhes da VagaEscolaridade Não InformadoSegmento Não InformadoSalário Não InformadoÁrea de AtuaçãoDiversos / OutrosO que você irá fazer
- You will collaborate with a talented team of professionals who are passionate about their work, and you will be part of a company that is committed to empowering marginalized communities and bridging gaps in education.
- In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including:Professional development opportunities, including training and mentorship programsFlexible work arrangements, including remote work optionsAccess to the latest technologies and toolsRegular social events and team-building activitiesA supportive and inclusive work environmentIf you are ready to join a team that is changing the game, apply now to become a part of the family.
- Join us on this adventure and help shape the future of Generative AI in the enterprise.
- Responsibilities:Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics.
- Years of Experience – 3+ for Senior, 5+ for Staff, 8+ for Senior Staff.
- Strong expertise in Deep Learning, Machine Learning and Generative AI (including Language, Vision, Audio and Multi-modal models).
- Experience in developing models and algorithms using Deep Learning frameworks like PyTorch & TensorFlow, compute and memory optimizations using Deep Speed, PyTorch DDP architectures for both training and inferencing Large Language Models.
- Experience in deploying deep learning models on multiple GPUs.
- Exposure to one or more of the following domains – Optimization, Stochastic Processes, Estimation theory.
- Strong programming skills in one or more of the following languages – Python, Go.
- Experience in building applications with Docker and Kubernetes.
- Working knowledge of at least one cloud platform and its services (AWS, Azure, GCP).
- Strong verbal and written communication skills.
- Required Qualifications:Masters Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics.
- Deep expertise and experience in training/fine-tuning large language models on large GPU clusters.
- Experience in parallel programming including data, model and tensor parallelisms with PyTorch and TensorFlow.
- Deep experience in building and scaling machine learning / deep learning or GenAI applications with Docker and Kubernetes.
- Experience using frameworks like Text Generation Inference, vLLM, Llama_CPP for model inference.
- Experience in training and/or finetuning models in a multi-node, multi-accelerator cluster.
- Experience in monitoring, managing and troubleshooting Kubernetes clusters.
- Working experience with Relational and Graph Databases.
- Strong working experience with at least two cloud service providers (AWS, Azure, GCP).
- Working knowledge of CI/CD pipelines, Orchestration Frameworks & MLOps.
- Deep expertise and experience in one or more of the following areas like finance, healthcare, engineering.
- Ability to transform business needs to technical requirements, define tasks, metrics and milestones.
- Ability to communicate technological challenges and achievements to various stakeholders.
- Benefits:Medical insurance (SulAmérica) – adding dependents will incur an additional charge.
- Meal Voucher credited at Flash Card.
- Life Insurance.
- We will be happy to look at your application!Subscribe to our networks and follow the world of TalentX.
- Digital:LinkedIn: Click here!Instagram: Click here!Come to Gluker! Try our profile tests! Click here!#J-18808-Ljbffr
Informações AdicionaisQuantidade de Vagas 1Jornada Não Informado
Local: Brasília – DF
Data do Post da Vaga: Sun, 02 Feb 2025 23:48:40 GMT
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