Hello
Greetings!
This is PREMA from Reveille Technologies. We are looking for AI/ML Engineer finds the below mentioned job description. Kindly forward me your resume, Rate and contact details for further process. I also request you to forward this opportunity to your friends or colleagues; so that we can help someone who may be in search of a job or looking for a change.
Role : AI/ML Engineer
Location: Day 1 Onsite - Local Only - Face to Face Must
Exp: 11+ Years
Skills: ML Engineer, AWS, Infrastructure-as-Code , LLM, focuses on building, deploying, and scaling ML models in production systems”
Job Description:
Required Skills & Experience:
Hands-on experience in AI/ML engineering or software/data development, with advanced proficiency in Python and good to have Java.
Demonstrated expertise in context and prompt engineering for large language models (LLMs), including prompt design and optimization.
Experience building and managing sandbox environments (e.g., Jupyter) for experimentation and implementing CI/CD pipelines.
Strong background in cloud platforms (preferably AWS, Bedrock) and Infrastructure-as-Code tools.
Familiarity with explainable AI techniques, secure data handling, and effective collaboration in agile, cross-functional teams.
Warm Regards,
Prema
Reveille Technologies, Inc
pr...@reveilletechnologies.com
Desk Number : (704) 444 -0697 Ext 829
"Disclaimer: The information contained in this email is confidential and intended for the recipient only. If you have received this email in error.
Hello
Greetings!
This is PREMA from Reveille Technologies. We are looking for AI/ML Engineer finds the below mentioned job description. Kindly forward me your resume, Rate and contact details for further process. I also request you to forward this opportunity to your friends or colleagues; so that we can help someone who may be in search of a job or looking for a change.
Role : AI/ML Engineer
Location: Day 1 Onsite - Local Only
Exp: 11+ Years
Skills: ML Engineer, AWS, Infrastructure-as-Code , LLM, focuses on building, deploying, and scaling ML models in production systems”
Face to Face Must For Client Round