AI Automation Enigneer

1 week ago

Ahmedabad, Gujarat, India E2M Solutions Private Limited Full time ₹ 20,00,000 - ₹ 25,00,000 per year

E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals.

Our client base is made up of digital agencies that rely on us to solve bandwidth issues, reduce overheads, and boost profitability. We need driven, tech-savvy professionals like you to help us deliver next-gen solutions. If you're someone who dreams big and thrives in innovation, E2M has a place for you.

Role Overview:

As an AI Executor/AI Automation Engineer, you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions.

Key Responsibilities:

  • Design and develop backend solutions using Python, with a focus on AI-driven features.
  • Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.
  • Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models.
  • Translate business needs into AI use cases and deliver working solutions.
  • Collaborate with product, engineering, and data teams to define integration workflows.
  • Develop REST APIs and micro services to deploy AI components within applications.
  • Maintain and optimize AI systems for scalability, performance, and reliability.
  • Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement.

Required Skills & Qualifications:

  • Minimum 5+ years of overall experience, including at least 1 year in AI/ML integration and strong hands-on expertise in Python for backend development.
  • Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras
  • Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)
  • Solid understanding of REST APIs, micro services, and integration practices
  • Ability to work independently in a remote setup with strong communication and ownership
  • Excellent problem-solving and debugging capabilities
  • Experience with the MERN stack will be an added advantage.

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