6 дней назад
Applied AI Engineer
157 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Python/NLP): Designing, deploying, and optimizing AI models and machine learning pipelines for chatbots and enterprise systems with an accent on natural language processing, conversational AI, and production-scale deployment. Focus on integrating models with backend systems using LangChain and cloud services, improving model performance, and building reliable end-to-end workflows.
Location: New York, NY, USA; onsite 4 days a week. Applicants must be legally authorized to work in the United States without current or future employer sponsorship.
Salary: $157,000–$200,000 per year
Company
provides niche consulting services for the architecture, engineering, and construction industries, including building envelope, energy efficiency, sustainability, code advisory, and construction advisory solutions.
What you will do
- Design and develop machine learning models for natural language processing, chatbots, and enterprise AI systems.
- Build and optimize end-to-end AI/ML pipelines from data preprocessing through model deployment.
- Integrate AI models into production environments with backend engineers using LangChain and cloud services.
- Improve model accuracy, speed, robustness, scalability, and reliability through optimization and evaluation.
- Collaborate with product managers, data scientists, software engineers, and business stakeholders to deliver AI-driven solutions.
- Document AI workflows, models, and algorithms for long-term maintainability.
Requirements
- 4–7 years of experience in AI/ML engineering or a related field.
- Proficiency in Python and AI/ML libraries including Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
- Strong understanding of NLP and experience building chatbot or conversational AI systems.
- Hands-on experience with data preprocessing, model training, evaluation, deployment, and production scaling.
- Familiarity with Jupyter Notebook, AWS, GCP, or Azure, as well as Git and GitHub.
- Legal authorization to work in the United States without current or future employer sponsorship.
Nice to have
- Experience with reinforcement learning, transfer learning, or other advanced AI techniques.
- Knowledge of model monitoring, A/B testing, and continuous improvement strategies.
- Experience with Docker for deploying AI solutions.
Culture & Benefits
- Collaborative work with cross-functional teams across AI, software, product, and business functions.
- Opportunity to develop AI solutions for real-world challenges in the architecture, engineering, and construction industries.
- Onsite work is expected four days per week.
- is certified as a Great Place to Work and is an Equal Opportunity Employer.
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