Automation AI Engineer

Overview: A leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor's "Best Places to Work." We are in search of a savvy individual with a strong technical background who is capable of creating and implementing automation to enhance efficiency, productivity, and customer experience. An in-depth knowledge of industry best practices is required, along with the ability to apply them in collaboration with larger cloud, support, and product teams. Scope: We are looking for a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization. The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience in data analysis, software development, and cloud computing. Primary Responsibilities: Design and implement AI/conversational AI solutions and ML solutions to resolve business issues, enhance customer experience, and improve operational efficiency. Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch. Work with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts. Create and upkeep data pipelines and ETL processes to support AI and ML workflows. Monitor and improve model performance, accuracy, and scalability. Remain updated with emerging AI and ML technologies and assess their potential impact on our organization. Develop and maintain technical documentation including architecture diagrams, design documents, and standard operating procedures. Provide technical guidance and mentorship to other members of the data engineering and software development teams. Design and upkeep chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework. Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows. What we are looking for: A bachelor's degree in computer science, Information Technology, or a related field with 3+ years of experience in conversational AI engineering, design, and implementation. Strong understanding of NLP technologies, including intent recognition, entity extraction, and sentiment analysis. Experience with software development including Python proficiency and familiarity with software development best practices and tools (Git, Agile methodologies, etc.). Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and related services (S3, EC2, Lambda, etc.). Experience with big data technologies (Hadoop, Spark, etc.). Experience with containerization (Docker, Kubernetes). Experience with data visualization tools (Tableau, Power BI, etc.). Experience with reinforcement learning and/or generative models. Familiarity with machine learning technologies and frameworks (TensorFlow, Keras, etc.) Strong communication and collaboration skills. Attention to detail and effective task prioritization. Effective problem-solving and analytical skills. Ability to work both independently and in a team. Our Values: If you want to know the heart of a company, look at their values. Our values unite us. They drive our success and the success of our customers. Find out if your values resonate with ours: Core Values. Diversity, Inclusion, Value & Equality (DIVE) is our strategy for fostering an environment we can be proud of. Check out our inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.