Job Title : Senior AI / ML Engineer
Location : Atlanta,GA
Qualifications :
Minimum Requirements :
- 5+ years of experience in Software Engineering.
- 3+ years of experience (professional or academic) in Artificial Intelligence and Machine Learning.
- Hands-on experience with Agile SDLC and DevOps / DevSecOps methodologies.
- Proven development experience on AWS, with specific expertise in AWS SageMaker.
- Proficiency in general-purpose programming languages such as Python, R, Scala, or Spark.
- Hands-on experience in one or more AI / ML domains, including :
Natural Language Processing (NLP)
Sentiment AnalysisClassificationPattern RecognitionExperience with AI / ML frameworks such as TensorFlow, PyTorch, Keras, scikit-learn, CNTK, Caffe, Gluon, or TorchFamiliarity with Generative AI tools and frameworks, including :Prompt engineering
LLM fine-tuningGuardrails for GenAI applicationsExperience working with Vector Databases and supporting data infrastructure.Expertise in training, deploying, and maintaining Large Language Models (LLMs).Background in production-grade development and systems integration.Strong communication skills with experience presenting to both technical and business audiences.You Might Be a Good Fit If You :
Are self-driven and proactive - you take initiative and get things done.Work well cross-functionally and thrive in collaborative environments.Value empathy and are user-focused in solving real-world problems.Embrace a growth mindset and are open to feedback and new information.Have a strong sense of ownership and strive for continuous improvement.Love travel and can empathize with customer and employee experiences in the industry.Responsibilities :
Identify and deliver impactful AI opportunities across customer- and employee-facing experiences.Collaborate with business and technology teams to align solutions with organizational goals.Lead technical strategy and provide thought leadership in AI / ML solution design.Partner with Architecture, Foundations, and Security teams to implement scalable and secure patterns.Define and measure success metrics for AI implementationsEngineering Excellence :
Design and build scalable AI components, APIs, and microservices.Work cross-functionally with product and business teams to implement AI solutions.Champion best practices in design, development, documentation, and deployment.Ensure security, reliability, and scalability through test-driven development and CI / CD pipelines.Monitor, support, and continuously improve AI applications in production environments.Lead performance optimization, reliability engineering, and cost-efficiency efforts.Mentorship & Collaboration :
Mentor junior engineers and foster a culture of continuous learning.Conduct code reviews, share knowledge, and drive team-wide best practices.Operate in Agile squads and actively contribute to sprint planning and execution.Own and support solutions end-to-end - including production issue resolution and post-deployment monitoring."All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran."