Sr QA Automation Engineer

About the job

Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor's Best Places to Work.

Seeking an astute individual that has a strong technical foundation with ability to be hands-on on developing/building automation to improve efficiency, productivity, and customer experience. Deep knowledge of industry best practices, with the ability to implement them working with larger team cloud, support, and the product teams.

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.

Primary Responsibilities

• 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 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 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.