数据科学家
Data Scientist
此职位仅对印度的候选人开放。来自印度以外的申请将不被考虑。
公司简介
在Avahi，我们正在重新定义什么是顶级以云为先的咨询公司，因我们的员工、文化以及创新解决方案而受到认可。我们拥有管理服务、人员招聘和专业服务方面的专长，致力于提供卓越的价值并始终以客户为中心。
作为一支以远程办公为主、遍布北美、欧洲和东南亚的全球团队，我们营造了一个协作与多元化并存的环境，让职业成长、创造力和相互尊重得以蓬勃发展。我们以客户至上、协作、敏捷性、创新、诚信以及多样性与包容性为核心价值观，帮助企业在以云为先的方法中充分发挥潜力。
职位描述：
在Avahi担任数据科学家，您将与我们研究团队的高级成员紧密合作，开展前沿的应用人工智能、基础设施和工具开发，目标是让生成式AI惠及每个人。
示例项目：
· 在内部文档基础上构建RAG流程。
· 在AWS服务基础上创建Python库，以使大型企业能够使用生成式AI。
· 开源内部工具。
· 实现从最新发表论文中提出的神经网络架构。
· 开发与微调模型、向量数据库、嵌入等配合使用的工具。
· 为训练我们的代理开发更真实的模拟。
· 设计自动化的方法和工具，以防止神经网络训练中的常见问题（例如过拟合、梯度消失、死区ReLU等）。
· 创建可视化工具，帮助我们深入理解网络所学到的内容及其原因。
任职要求：
· 非常熟悉编写Python代码。
· 具备扎实的数据结构、算法和工程数学基础。
· 熟悉PyTorch和训练深度神经网络者优先，但非必需。
· 对开源代码工作充满热情。
· 热衷于工程最佳实践。
· 自我驱动且独立。
· 必须具备良好的英语能力。
教育背景：
计算机科学、工程、信息系统或相关领域的学士学位
在这里工作的原因
以远程为主的灵活性：
在一个以远程为主的工作环境中享受工作与生活的平衡，可以随时随地工作。
创新文化：
我们秉持初创企业的思维，鼓励创造力、敏捷性和成长。加入一个探索前沿技术并推动有影响力解决方案的团队。
查看英文原文
This position is open to candidates based in Mexico only. Applications from outside Mexico will not be considered.
Company Overview
At Avahi, we’re redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. With expertise in Managed Services, Staffing, and Professional Services, we are dedicated to delivering exceptional value and putting customers first.
As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our values—Customer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach.
About the Role:
As a Data Scientist at Avahi, you’ll work very closely with a senior member of our research team on cutting-edge Applied AI, infrastructure, and tooling towards the goal of democratizing Generative AI for everyone.
Example projects:
· Build a RAG pipeline on top of internal documents.
· Create a python library on top of AWS services to enable GenAI for large enterprises.
· Open source internal tools.
· Implement neural network architecture from newly published papers.
· Work on tools which work with fine-tuned models, vector databases, embeddings etc.
· Develop more realistic simulations for training our agents.
· Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc).
· Create visualizations to help us deeply understand what our networks learn and why.
Qualifications:
· Very comfortable writing Python.
· Strong data structures, algorithms, and engineering mathematics background.
· Familiar with PyTorch and training deep neural networks is preferred but not mandatory
· Excited to work on open-source code.
· Passionate about engineering best practices.
· Self-directed and independent.
· Strong English language skills are a must.
Education:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
Why Work Here
Remote-First Flexibility:
Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere.
Innovative Culture:
We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions.
Career Development:
Avahi is committed to your growth, offering mentorship and opportunities to advance your career.
Purpose-Driven Mission:
Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices.
Global Collaboration:
Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact.
Accessibility and Inclusivity Statement
At Avahi, we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds, experiences, and perspectives, including those from underrepresented communities.
We are proud to be an equal opportunity employer, providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process, please let us know, and we will work to meet your needs.
Originally posted on Himalayas