Verified Job
Work from home
Senior AI/ML Developer
Work from home
#670637
Remote / WFH
Job Description
Position: Sr. Developer – AI/ML
Location: Atlanta GA
Work Schedule: Hybrid/On-site (3 days per week)
2 Senior Developer & 2 Mid-level resources.
Mode of Interview: In-person
Must be strong on AWS
Qualifications:
What you need to succeed (minimum qualifications)
• 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
Location: Atlanta GA
Work Schedule: Hybrid/On-site (3 days per week)
2 Senior Developer & 2 Mid-level resources.
Mode of Interview: In-person
Must be strong on AWS
Qualifications:
What you need to succeed (minimum qualifications)
• 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
