AI​/ML Engineer

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 Life cycles and Dev Ops/Dev Sec Ops
• 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 Tensor Flow, 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 Vector
  
  DBs 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

• 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

Salary Range: $100,000 – $130,000 a year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.