AI/ML Engineer

AI/ML Engineer

Location: Atlanta, GA Duration: Fulltime

Job Description: Must Have Technical/Functional Skills

• 5+ years of work experience in Software Engineering
• 3+ years of work/educational experience in Artificial Intelligence/Machine Learning
• Experience with Agile Software Development Lifecycles and DevOps/DevSecOps
• Development experience on AWS, AWS Sagemaker required
• Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark
• Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.
• Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.
• Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning
• Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications
• Experience training and maintaining large language models
• Experience with production-grade development, integration and support
• Experience and familiarity presenting to technical and business audiences
• Position open to ATL and MSP offices

Roles & Responsibilities

• Grow Customer’s use of AI within customer and employee facing experiences
• Partner with cross functional business and technology teams to understand business landscape and drive AI opportunities.
• Provide technical thought-leadership and direction for AI solutions across a wide range of centralized and distributed environments across the Customer landscape.
• Partner with Architecture, Foundations, and Security teams to pave the way for Customer leverage industrialized design patterns
• Help to define, design and capture data required for measurement of each solution
• Collaborate frequently to share ideas and gain perspective. Communicates critical information in a clear and timely manner. Listens to others. Seeks clarification and confirms shared understanding when communicating.
• Delivering with Quality and Speed
• Collaborate with business and product owners, understanding the product and business domain to engineer solutions that create a competitive advantage
• Work within a team of engineers and cross-divisionally to design and build Artificial Intelligence into technical solutions at scale
• Contribute to the strategy around which frameworks and technologies are leveraged with each solution, and partner with the foundations teams to approve new design patterns
• Look upstream and downstream to see around corners and anticipate future consequences for immediate technical choices
• Document and communicate solutions with effective documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
• Design, Develop, Monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems
• Incorporate security standards, test-driven development, and pipeline deployment automation to achieve robust reliability and scale
• Mentor junior team-mates to define and implement detailed measurement data, error logging/tracking for all products within our domain
• Initiate and lead code reviews and continuous improvement efforts
• Analysis and implementation of Performance/Stability/Reliability initiatives
• Monitors metrics, problems, trends, and costs, in order to determine solutions, required process changes, etc. that will make the function more efficient o Plan, create, and execute automated test cases and load/performance testing
• Operate with Agile and Cloud Target squads within two-week sprints
• Own and support what you build
• Production issue triage, management, and prevention with a focus on continuous improvement
• Develop an AI first mindset and help democratize AI for Customer