E2M is a digital marketing firm driven by over 300 experienced professionals, serving digital agencies by solving bandwidth issues, reducing overheads, and boosting profitability.

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:

- 2+ years of professional experience as an AI/ML Engineer, including strong backend development expertise in Python.
- 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 robust communication and ownership
- Excellent problem-solving and debugging capabilities
- Experience with the MERN stack will be an added advantage.

If you are interested in this opportunity, please click on the Apply Now button to submit your application.

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