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AI Automation Specialist (Permanent - On-Site - New York, NY)
AI Automation Specialist (Permanent - On-Site - New York, NY)Estreetsecurity • New York, NY, US
AI Automation Specialist (Permanent - On-Site - New York, NY)

AI Automation Specialist (Permanent - On-Site - New York, NY)

Estreetsecurity • New York, NY, US
20 hours ago
Job type
  • Permanent
Job description

An opportunity has come through our network for an AI Automation Specialist at a fast-growing organization dedicated to transforming operational efficiency across various industries through cutting-edge technology. This permanent position , based on-site in New York, NY , offers a unique chance to help design, implement, and optimize intelligent automation solutions that streamline workflows and significantly enhance productivity.

What You'll Do : Revolutionizing Operations with AI-Driven Automation

As an AI Automation Specialist, you'll be at the forefront of integrating artificial intelligence into business processes, driving efficiency, and enabling smarter operations. Your role will combine hands-on development with strategic collaboration and continuous innovation.

  • Develop and Deploy AI-Driven Automation Workflows : You will be responsible for meticulously developing and deploying AI-driven automation workflows . This involves leveraging powerful tools such as Python for custom scripting, industry-leading RPA (Robotic Process Automation) platforms (like UiPath or Power Automate), and advanced large language models (LLMs) . Your work will create intelligent systems that can automate complex, knowledge-based tasks, from data entry to customer service interactions.
  • Collaborate to Identify Automation Opportunities : You'll foster strong relationships and collaborate with cross-functional teams across various departments. This crucial partnership aims to identify high-impact automation opportunities within existing workflows and processes. You'll then skillfully translate these business needs into scalable AI solutions , ensuring that automated processes directly address operational challenges and deliver measurable benefits.
  • Integrate ML and NLP Capabilities into Systems : You will play a pivotal role in integrating machine learning (ML) models and natural language processing (NLP) capabilities into existing systems. This includes embedding functionalities that allow systems to understand human language, analyze unstructured data, and learn from patterns. Your efforts will directly improve decision-making processes and significantly reduce manual effort by automating tasks that previously required human cognitive input.
  • Monitor and Maintain Automation Pipelines : You will diligently monitor and maintain automation pipelines , ensuring their reliability, scalability, and performance in a production environment. This involves overseeing the continuous flow of automated tasks, proactively identifying and resolving any failures or bottlenecks, and optimizing the pipelines to handle increasing workloads efficiently. Your vigilance ensures that automation solutions consistently deliver their intended value.
  • Stay Up-to-Date with Emerging AI Technologies : You will be expected to continuously stay up-to-date with emerging AI technologies and their applications. This involves researching the latest advancements in artificial intelligence, machine learning, and automation. You'll then critically recommend innovative approaches to automation challenges , ensuring that the organization leverages the most cutting-edge solutions to maintain its competitive edge in operational efficiency.

What We're Looking For : Your Expertise in AI and Automation

To excel as an AI Automation Specialist, you'll need a strong foundation in AI / ML or automation engineering, proficiency in Python and RPA tools, and experience with cloud platforms and data pipelines.

  • Proven Experience in AI, Machine Learning, or Automation Engineering : You must have proven experience in AI (Artificial Intelligence), machine learning (ML), or automation engineering . This background demonstrates your practical ability to design, develop, and deploy intelligent automation solutions in a professional setting.
  • Proficiency in Python and Automation Tools : You are required to have proficiency in Python , a versatile language for AI and automation. This is coupled with familiarity with industry-leading automation tools such as UiPath, Power Automate , or similar RPA platforms. Your combined expertise in scripting and commercial tools is essential.
  • Experience with APIs, Cloud Platforms, and Data Pipelines : You must have hands-on experience working with APIs (Application Programming Interfaces) for system integration, major cloud platforms (e.g., AWS, Azure, GCP ) for deploying and managing AI solutions, and robust data pipelines for efficient data flow and processing.
  • Strong Problem-Solving Skills and Independent Work : You possess strong problem-solving skills , enabling you to dissect complex operational challenges and devise effective AI-driven solutions. You also have the ability to work independently in a fast-paced environment, demonstrating self-motivation and accountability in managing your tasks and projects.
  • Excellent Communication Skills and Collaborative Mindset : You bring excellent communication skills , both verbal and written, for articulating complex technical concepts to non-technical stakeholders. You also possess a collaborative mindset , fostering strong teamwork and effective cross-functional engagement.
  • Nice to Have : Enhancing Your Automation Profile

  • Experience with LLMs and Prompt Engineering : Experience with LLMs (Large Language Models) , such as OpenAI or Anthropic , and practical skills in prompt engineering (optimizing inputs to generative AI models for desired outputs) would be a significant plus, indicating expertise in cutting-edge AI.
  • Background in Process Optimization or Operations : A background in process optimization or operations is desirable. This provides valuable context for understanding business workflows and identifying areas where automation can deliver the most impact.
  • Familiarity with MLOps and DevOps Practices : Familiarity with MLOps (Machine Learning Operations) and DevOps practices (e.g., Docker, Git, CI / CD, monitoring for ML models) would be a plus, demonstrating an understanding of operationalizing AI solutions at scale.
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