Technical Architect Cloud - Automation AI Engineer

Scope: 

• We are seeking 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 with data analysis, software development, and cloud computing. 

What your will do: 

• Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency. 

• Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch 

• Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts. 

• Develop and maintain data pipelines and ETL processes to support AI and ML workflows. 

• Monitor and optimize model performance, accuracy, and scalability 

• Stay up to date with emerging AI and ML technologies and evaluate 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. 

• Develop and maintain 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. 

• Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures. 

• Provide technical guidance and mentorship to other team members. 

What we are looking for: 

• Bachelor’s degree in computer science, Information Technology, or a related field with 8+ 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 proficiency in Python 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. 

• Experience with machine learning technologies and frameworks (TensorFlow, Keras, etc.) 

• Experience with big data technologies (Hadoop, Spark, etc.) 

• Strong communication and collaboration skills 

• Strong attention to detail and ability to prioritize tasks effectively. 

• Strong problem-solving and analytical skills 

• Ability to work independently and as part of a team. 

• Strong attention to detail and ability to prioritize tasks effectively. 

• Experience working with cloud platforms like AWS, Google Cloud, or Azure. 

• Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka is a plus. 

• Strong problem-solving and analytical skills. 

• Ability to work in an agile and fast-paced development environment.