Hybrid Technical Architect Cloud (Gen AI, Python, SQL) na JDA Software

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. 

Our current technical environment:

• Software: Python, R, JavaScript. GIT, Rest API, OAuth.
• Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
• Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
• Data Science Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, NLP
• Databases: SQL

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. 

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

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.