高级机器学习工程师 - 全程远程
Senior Machine Learning Engineer - Full Remote
Category: IT Services
Location: Fort Western Province Sri Lanka
我们正在为位于瑞士日内瓦的国际组织紧急寻找一名远程高级机器学习工程师。候选人需精通英语。所有职位均为长期职位。该职位对自由职业者和员工开放。
在新冠疫情期间，面试将通过WEBEX进行，面试期间不需要出行。
候选人需要能够适应瑞士日内瓦的正常办公时间。
任务与职责
- 进行定量研究，重点是但不限于应用先进的统计学习方法到各种数据集，以构建用于预测股票风险和收益的稳健模型；
- 为团队构建高效工具和可扩展系统；
- 生成创意，进行后端测试和实现；
- 评估新数据集，以确定是否可能纳入我们的机器学习模型；
- 设计并交付支持学习体验平台及其组件的机器学习模型和服务；
- 构建学习平台的核心和支持系统并开发功能；
- 通过不断更新源代码和相关仓库来维护核心和支持系统；
- 开发技术文档并维护所有技术活动的活跃技术仓库；
职位要求
- 硕士学位；
- 5年以上编程语言经验，如C/C++、Java、Perl或Python以及开源技术（Apache、Hadoop）；
- 在机器学习工程方面有出色技能，使用Python：PyTorch、TensorFlow、Caffe、Pandas、SciPy、OpenCV、Scikit-Learn；
- 有以下经验：预测建模、推荐系统、翻译引擎、对话式AI；
- 有标准AI和ML技术、自然语言理解（NLU）以及科学思维的学术和/或行业经验；
- 有与科学、数据处理和软件工程团队有效合作的经验；
- 5年以上面向对象设计和常见设计模式经验；
- 5年以上数据结构、算法设计、问题解决和复杂性分析经验；
- 3年以上开发云软件服务经验，并了解可扩展性、性能和可靠性的设计；
- 有定义系统架构和探索技术可行性权衡的经验；
- 有优化短期执行同时规划长期技术能力的经验；
- 有学术和/或行业经验
查看英文原文
Category: IT Services
Location: Fort Western Province Sri Lanka
We are urgently looking for a REMOTE Senior Machine Learning Engineer for an international organization in Geneva, Switzerland. Candidates need to be fluent in English. All positions are long-term. This position is open for freelancers and employees.
During the corona crisis, interviews will be done through WEBEX, and travel is not required for the interviews.
Candidates need to be able to work normal office hours of Geneva, Switzerland.
Tasks and responsibilities
- Conduct quantitative research, focusing on, but not limited to, applying advanced statistical learning methods to diverse data sets in order to build robust models for forecasting stock risk and returns;
- Build efficient tools and scalable systems for the team;
- Idea generation, back-end testing, and implementation;
- Evaluate new datasets for potential inclusion in our Machine Learning models;
- Design and deliver Machine Learning Models and services supporting Learning Experience Platform and its components;
- Build the core and support systems for learning platform and develop features;
- Maintenance of the core and support systems by constantly updating the source codes and allied repositories;
- Develop technical documentation and maintain active tech repositories for all tech activities carried out;
Profile
- Master degree;
- 5+ years’ experience with programming languages such as C/C++, Java, Perl or Python and open-source technologies (Apache, Hadoop);
- Excellent skills in machine learning engineering with Python: PyTorch, TensorFlow, Caffe, Pandas, SciPy, OpenCV, Scikit-Learn;
- Experience in: Predictive modeling, Recommendation systems, Translation engine, Conversational AI;
- Academic and/or industry experience with standard AI and ML techniques, NLU, and scientific thinking;
- Experience working effectively with science, data processing, and software engineering teams;
- 5+ years’ experience with OO design and common design pattern;
- 5+ years’ experience with data structures, algorithm design, problem-solving, and complexity analysis;
- 3+ years’ experience developing cloud software services and an understanding of design for scalability, performance, and reliability;
- Experience defining system architectures and exploring technical feasibility trade-offs;
- Experience optimizing for short term execution while planning for long term technical capabilities;
- Academic and/or industry experience with standard AI and ML techniques, NLU, and scientific thinking;
- Experience working effectively with science, data processing, and software engineering teams;
- Database: RDBMS DB like MariaDB / MySQL, Postgres, SQL and NoSQL DB like Elastic Search, MongoDB, Cassandra etc;
- Container Technologies: Kubernetes, Docker;
- System Admin: BASH, Git;
- Fluent in English;
Added Advantage
- Preferred engineering experiences: MLOps, MATLAB, and Java, Cloud platform experience: Azure and AWS;
- Ability to prototype and evaluate applications and interaction methodologies;
- Ability to produce code that is fault-tolerant, efficient, and maintainable;
Location: Remote;
Salary/Day price: Depending on experience;
Interested:
Please send your resume and motivation to or call us on +94 114312515 for more information.
DetailsOriginally posted on Himalayas