AI Engineer
我们正在寻找一个高技能和激励的 AI 工程师加入我们的团队。理想的候选人将设计，开发和部署人工智能解决方案，推动我们产品和服务中的创新和效率。你将与数据科学家，软件工程师和产品经理合作构建解决复杂问题的智能系统。关键责任 · AI 模型开发：设计，训练和优化机器学习和深度学习模型。· 数据预处理：清洁，转换并为培训和推断做好大数据集。·算法实施：应用 NLP,计算机视觉或预测分析中最先进技术。· 专业人员需要在研究过程中进行精密研讨，并使用人工智能技术来实现这些工作。· 技术应用于网络技术的基础上。· 信息技术的发展，以及技术的运行方式。• 技术的发展；• 技术上的发展，包括技术的发展和技术的发展。• 信息的发展，技术的发展等方面，部署和扩展：将模型集成到生产系统中，确保可扩展性和性能。· 合作：与跨功能团队密切合作，使人工智能解决方案与业务目标保持一致。· 研究和创新：不断更新新兴的 AI 技术并促进持续改善。资格 ·计算机科学，人工智能，数据科学或相关领域的学士学位。· 在 Python 上有强大的编程技能，在 TensorFlow,PyTorch 或 Skit-learn 等框架方面经验。·对机器学习，深度学习和统计建模的坚实的理解。·云平台 (AWS,Azure,GCP) 的体验是一个附加品。· 数据工程和分布式计算的知识是一个优势。· 强大的解决问题技能和在快速环境中工作的能力。优先技能 · 自然语言处理或计算机视觉方面的经验。·熟悉 MLOps 和 CI/CD 管道。·能够向非技术利益相关者传达复杂的技术概念。我们提供的内容 ·竞争性工资和福利包。· 在尖端人工智能项目上工作机会。· 合作和创新的工作环境。· 专业增长和学习机会。最初发表于喜马拉雅山。
查看英文原文
We are seeking a highly skilled and motivated AI Engineer to join our team. The ideal candidate will design, develop, and deploy artificial intelligence solutions that drive innovation and efficiency across our products and services. You will collaborate with data scientists, software engineers, and product managers to build intelligent systems that solve complex problems.
Key Responsibilities
- AI model development: Design, train, and optimize machine learning and deep learning models.
- Data preprocessing: Clean, transform, and prepare large datasets for training and inference.
- Algorithm implementation: Apply state-of-the-art techniques in NLP, computer vision, or predictive analytics.
- Deployment and scaling: Integrate models into production systems ensuring scalability and performance.
- Collaboration: Work closely with cross-functional teams to align AI solutions with business goals.
- Research and innovation: Stay updated on emerging AI technologies and contribute to continuous improvement.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of machine learning, deep learning, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) is a Plus.
- Knowledge of data engineering and distributed computing is a plus.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Skills
- Experience in natural language processing or computer vision.
- Familiarity with MLOps and CI/CD pipelines.
- Ability to communicate complex technical concepts to non-technical stakeholders.
What We Offer
- Competitive salary and benefits package.
- Opportunities to work on cutting-edge AI projects.
- Collaborative and innovative work environment.
- Professional growth and learning opportunities.
Originally posted on Himalayas