AI-ML Engineer

As an AI/ML Engineer at our growing company, you will play a crucial role in leading the development of an AI-powered customer support solution. Your primary responsibility will be to design, develop, and deploy a human-like conversational AI tool. This presents a unique opportunity for you to take ownership of the entire AI lifecycle, all while contributing to a groundbreaking product within a lean and agile environment. Your key responsibilities will involve AI and Machine Learning Development, where you will design, train, and fine-tune AI models for sentiment analysis, speech recognition, and conversational AI. Moreover, you will focus on building models that can adapt to regional dialects, informal language, and varying emotional tones, as well as developing and optimizing a self-training module that learns from human interactions. In the realm of Software Development, you will be tasked with designing and developing APIs for seamless voice-based interaction and system integration. Additionally, you will implement scalable and efficient backend architecture to support AI functionalities and construct front-end interfaces or dashboards for training, monitoring, and analytics purposes. Integration is another critical aspect of your role, where you will be responsible for integrating the AI tool with customer platforms such as CRMs, telephony systems, and email support tools. It will also be essential to ensure compatibility with third-party tools like Twilio, Zapier, or AWS Connect for voice functionalities. Your role will also involve Testing and Optimization, where you will conduct end-to-end testing to ensure high-quality performance and robustness. You will further optimize algorithms for real-time response and low latency to enhance user experience. Project Ownership will be a significant part of your responsibilities, requiring you to manage data preparation and processing pipelines. Collaborating with stakeholders to prioritize features for a minimum viable product (MVP) while staying up-to-date with the latest AI/ML tools and frameworks for continuous improvement will also be essential. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Your AI/ML Expertise should include proficiency in NLP frameworks, experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn, and knowledge of transfer learning and fine-tuning pre-trained models. Strong Python skills, familiarity with JavaScript or similar languages, experience with RESTful APIs, knowledge of databases, and basics of DevOps are also required. If you have worked on conversational AI or voice-based interaction systems, familiarity with telephony tools, hands-on experience in deploying AI solutions at scale, or experience in handling customer-facing AI tools for industries like e-commerce, banking, or insurance, it would be considered a plus. Your success in this role will be driven by your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.,