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Urgent! Sr. Developer - AI&ML Job Opening In Atlanta Georgia – Now Hiring Datum Software, Inc

Sr. Developer AI&ML



Job description

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 Analysis

    • Classification

    • Pattern Recognition



  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, scikit-learn, CNTK, Caffe, Gluon, or Torch

  • Familiarity with Generative AI tools and frameworks, including:

    • Prompt engineering

    • LLM fine-tuning

    • Guardrails for GenAI applications



  • Experience 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 implementations


Engineering 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.”

 

 


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