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AI Automation Expert
AI Automation Expert
21
Ahmedabad
Job Views:
Created Date: 2026-03-19
End Date: 2026-09-17
Experience: 1 - 3 years
Salary: 0
Industry: IT
Openings: 1
Primary Responsibilities :
Job Title: AI Automation Expert
Employment Type: Full-Time
Experience Required: 1–3+ Years
Job Summary
We are seeking a highly skilled AI Automation Expert to design, develop, and deploy intelligent automation solutions that enhance operational efficiency and business outcomes. The ideal candidate will have expertise in Artificial Intelligence, Machine Learning, and Workflow Automation, with the ability to streamline processes and enable data-driven decision-making.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
1–3+ years of experience in AI, automation, or related roles.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with automation tools like n8n, Zapier, or Make (Integromat).
Strong understanding of APIs, webhooks, and system integrations.
Familiarity with LLMs, prompt engineering, and AI tools (e.g., OpenAI, Claude).
Experience working with cloud platforms such as AWS, Azure, or GCP.
Strong analytical and problem-solving skills.
Preferred Qualifications
Experience with Generative AI and NLP applications.
Knowledge of vector databases and embeddings.
Experience in building chatbots or AI assistants.
Familiarity with DevOps practices.
Certifications in AI/ML or RPA tools.
Skills & Competencies
Strong technical and analytical thinking
Problem-solving and innovation mindset
Ability to work in a fast-paced environment
Effective communication and collaboration skills
Experience Requirements:
Key Responsibilities
Design and implement AI-driven automation solutions for business processes.
Develop, train, and deploy machine learning models for real-world applications.
Integrate AI tools with existing systems such as CRM, ERP, APIs, and databases.
Automate repetitive workflows using RPA and AI technologies.
Analyze large datasets to identify automation opportunities and business insights.
Collaborate with cross-functional teams including product, engineering, and operations.
Monitor and optimize AI models and automation pipelines for performance and scalability.
Ensure compliance with data privacy and security standards.
Stay updated with the latest trends in AI, automation, and emerging technologies.