人工智能工程师（全球远程）
AI Engineer (remote globally)
职位名称：AI工程师
地点：远程
薪资范围：30,000 - 70,000美元/年（根据所在地有所不同）+ 股权
关于我们：我们是一家快速发展的初创公司，正在打造一个SaaS平台，旨在简化自由职业者、个体创业者和小型企业的销售与营销。我们的愿景是利用人工智能提升客户体验，提供智能洞察，并优化用户的流程。作为一个小团队，我们重视自主性、敏捷性和对创新的热情。
我们正在寻找一位AI工程师，能够设计、实现并扩展AI解决方案，以解决复杂问题并推动产品发展。这个职位适合在快节奏、动态环境中茁壮成长，并热衷于负责AI相关项目的候选人。
职位描述：作为我们的AI工程师，你将与工程、产品和数据团队紧密合作，将机器学习模型和AI功能集成到我们的平台上。你将负责设计AI系统、训练模型，并在云基础设施上大规模部署它们。
职责：
- 设计、构建和部署解决现实问题的AI/ML模型，包括推荐系统、预测分析和自然语言处理（NLP）解决方案。
- 与产品经理和利益相关者合作，识别符合业务目标的AI机会。
- 收集、预处理和分析大数据集，以构建和训练机器学习模型。
- 实现端到端的AI模型部署流程，包括数据收集、特征工程、模型训练和生产部署。
- 通过在生产环境中监控模型并根据用户反馈和新数据进行迭代，持续提升现有模型的性能和准确性。
- 通过在AWS等云平台上优化模型性能，确保AI系统的可扩展性和可靠性。
- 跟踪机器学习、深度学习和AI领域的最新研究和趋势。
所需资格：
- 3年以上AI/机器学习工程师、数据科学家或相关角色的经验。
- 熟练掌握机器学习框架（如TensorFlow、PyTorch、Scikit-learn）。
- 在生产环境中设计、训练和部署机器学习模型的实战经验。
- 扎实的数据结构、算法和统计方法基础。
- 具备自然语言处理（NLP）、计算机视觉或深度学习模型的经验。
查看英文原文
Job Title: AI EngineerLocation: Remote
Salary Range: $30,000 - $70,000/year (depending on location) + equity
About Us: We are a fast-growing startup building a SaaS platform aimed at simplifying sales and marketing for freelancers, solopreneurs, and small businesses. Our vision is to leverage AI to enhance the customer experience, provide intelligent insights, and streamline workflows for our users. As a small team, we value autonomy, agility, and a passion for innovation.
We’re looking for an AI Engineer who can design, implement, and scale AI solutions to solve complex problems and drive our product forward. This role is ideal for someone who thrives in a fast-paced, dynamic environment and is excited to take ownership of AI-related projects.
The Role: As our AI Engineer, you’ll work closely with the engineering, product, and data teams to integrate machine learning models and AI-powered features into our platform. You’ll be responsible for designing AI systems, training models, and deploying them at scale on cloud infrastructure.
Responsibilities:
- Design, build, and deploy AI/ML models that solve real-world problems, including recommendation systems, predictive analytics, and natural language processing (NLP) solutions.
- Collaborate with product managers and stakeholders to identify AI opportunities that align with business objectives.
- Collect, preprocess, and analyze large datasets to build and train machine learning models.
- Implement end-to-end pipelines for deploying AI models, including data collection, feature engineering, model training, and production deployment.
- Continuously improve the performance and accuracy of existing models by monitoring them in production and iterating based on user feedback and new data.
- Ensure the scalability and reliability of AI systems by optimizing them for performance on cloud platforms such as AWS.
- Stay up to date with the latest research and trends in machine learning, deep learning, and AI.
Required Qualifications:
- 3+ years of experience as an AI/Machine Learning Engineer, Data Scientist, or a related role.
- Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience designing, training, and deploying machine learning models in a production environment.
- Solid understanding of data structures, algorithms, and statistical methods.
- Experience with natural language processing (NLP), computer vision, or deep learning models.
- Proficiency in Python and familiarity with other programming languages (e.g., Java, C++).
- Experience working with cloud platforms like AWS, GCP, or Azure, and deploying AI solutions in a cloud-native environment.
- Experience with MLOps best practices, including version control, automated testing, and CI/CD pipelines for machine learning models.
- Strong analytical and problem-solving skills, with an ability to work through ambiguity and adapt to a fast-paced startup environment.
Nice-to-Haves:
- Knowledge of tools like Docker and Kubernetes for containerized AI model deployment.
- Experience with recommendation systems, time series analysis, or reinforcement learning.
- Familiarity with data visualization tools like D3.js, Plotly, or similar libraries.
- Understanding of ethical AI and bias reduction techniques in machine learning.
- Previous experience working in a startup or small team environment.
Soft Skills:
- Strong collaboration and communication skills, especially when working with cross-functional teams such as product managers and designers.
- A proactive attitude: able to take ownership of projects and lead initiatives.
- Ability to explain complex AI concepts in simple terms to non-technical stakeholders.
- Entrepreneurial mindset with a willingness to experiment and iterate quickly based on user feedback.
- Passion for continuous learning and staying ahead in a rapidly evolving field.
Why Join Us?
- Be part of a fast-moving startup, where you’ll have the opportunity to make a real impact with cutting-edge AI technologies.
- Work in a flexible, remote-friendly environment with a culture of autonomy and innovation.
- Opportunity to shape the AI strategy and architecture of a growing company.
- Collaborate with a small, dynamic team where your contributions are recognized and valued.
Originally posted on Himalayas