Job
Description
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 specificationsIt 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 todayOur virtual showroom provides a simple drag-and-drop interface and does not require codingA next-generation web 3.0-enabled virtual showroom platform where customers can see, interact, try on, and buy their favorite products without hassle.The RoleAI/ML Engineer (Full-Stack Development)Position: AI/ML EngineerType: Full-Time / ContractLocation: Remote / Onsite (Flexible)Experience Level: 2-4 years (Intermediate)About The RoleWe are a growing company looking for a versatile and self-driven AI/ML Engineer to lead the development of an AI-powered customer support solutionYou will be responsible for designing, developing, and deploying a human-like conversational AI toolThis 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 ResponsibilitiesAI and Machine Learning DevelopmentDesign, 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 DevelopmentDesign 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.IntegrationIntegrate 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 OptimizationConduct end-to-end testing to ensure high-quality performance and robustness.Optimize algorithms for real-time response and low latency.Project OwnershipManage 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 ProfileRequired Skills And QualificationsEducation: 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 ExperienceWorked 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.