Sr Technical Consultant 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 you 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 5+ 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.