<p><p>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.<br/><br/>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.</p><p><br/></p><p><b>Role Overview : </b><br/><br/></p><p>As an AI 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 Responsibilities : </b></p><p><br/></p>- Design and develop backend solutions using Python, with a focus on AI-driven features.<br/><br/></p><p>- Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.<br/><br/></p><p>- Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or </p><p>implement models.<br/><br/></p><p>- Translate business needs into AI use cases and deliver working solutions.<br/><br/></p><p>- Collaborate with product, engineering, and data teams to define integration workflows.<br/><br/></p><p>- Develop REST APIs and micro services to deploy AI components within applications.<br/><br/></p><p>- Maintain and optimize AI systems for scalability, performance, and reliability.<br/><br/></p><p>- Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous Skills & Qualifications : </b></p><p><br/></p>- Minimum 3+ years of overall experience, including at least 1 year in AI/ML integration and strong hands-on expertise in Python for backend development.<br/><br/></p><p>- Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras<br/><br/></p><p>- Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)<br/><br/></p><p>- Solid understanding of REST APIs, microservices, and integration practices<br/><br/></p><p>- Ability to work independently in a remote setup with strong communication and ownership<br/><br/></p><p>- Excellent problem-solving and debugging capabilities</p><br/></p> (ref:hirist.tech)