A Virtual e-commerce store creation platform enables you to provide your customers with an immersive and interactive virtual shopping experience. Metadrob allows retailers to build an interactive 3D virtual e-commerce store according to their brand requirements and specifications It provides the best digital showroom templates for store owners to choose from to showcase their stores in a digital space. Start building your tailor-made 3D store today Our virtual showroom provides a simple drag-and-drop interface and does not require coding A next-generation web 3.0-enabled virtual showroom platform where customers can see, interact, try on, and buy their favorite products without hassle. The Role AI/ML Engineer (Full-Stack Development) Position: AI/ML Engineer Type: Full-Time / Contract Location: Remote / Onsite (Flexible) Experience Level: 2-4 years (Intermediate) About The Role We are a growing company looking for a versatile and self-driven AI/ML Engineer to lead the development of an AI-powered customer support solution You will be responsible for designing, developing, and deploying a human-like conversational AI tool This is a unique opportunity to take ownership of the entire AI lifecycle while contributing to a groundbreaking product in a lean and agile environment. Key Responsibilities AI and Machine Learning Development Design, train, and fine-tune AI models for sentiment analysis, speech recognition, and conversational AI. Build models that adapt to regional dialects, informal language, and varying emotional tones. Develop and optimize a self-training module that learns from human interactions. Software Development Design and develop APIs for seamless voice-based interaction and system integration. Implement scalable and efficient backend architecture to support AI functionalities. Build front-end interfaces or dashboards for training, monitoring, and analytics. Integration Integrate the AI tool with customer platforms, such as CRMs, telephony systems, and email support tools. Ensure compatibility with third-party tools like Twilio, Zapier, or AWS Connect for voice functionalities. Testing and Optimization Conduct end-to-end testing to ensure high-quality performance and robustness. Optimize algorithms for real-time response and low latency. Project Ownership Manage data preparation and processing pipelines. Collaborate with stakeholders to prioritize features for a minimum viable product (MVP). Stay up to date with the latest AI/ML tools and frameworks for continuous improvement. Ideal Profile Required Skills And Qualifications Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. AI/ML Expertise: Proficient in NLP frameworks (e.g., Hugging Face, spaCy, NLTK) and speech-to-text tools. Experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn. Knowledge of transfer learning and fine-tuning pre-trained models. Programming: Strong Python skills; familiarity with JavaScript or similar languages is a plus. API Development: Experience with RESTful APIs and integrating third-party tools. Databases: Knowledge of relational (SQL) and NoSQL databases for handling data pipelines. DevOps Basics: Familiarity with cloud platforms (AWS, GCP, or Azure) and deployment tools (Docker, Kubernetes). Soft Skills: Strong problem-solving ability, excellent communication, and a proactive approach to challenges. Preferred Experience Worked on conversational AI or voice-based interaction systems. Familiarity with telephony tools (e.g., Twilio, Vonage, or AWS Connect). Hands-on experience in deploying AI solutions at scale. Experience in handling customer-facing AI tools for industries like e-commerce, banking, or insurance.