Hello Folks, (Must have strong exp in AI/ML, Jira, Python, Open AI, Azure, SQL snowflake skills) AND Need local to GA only – who can share local GA state ID / DL copy) – Note it
Hope you all are doing good.
Hope you all are doing good.
Please go through the Job description and let me know your interest.
Title: Data AI Engineer
Work Location: Atlanta, GA (Onsite/Hybrid)
Duration: Long Term Contract
Work Location: Atlanta, GA (Onsite/Hybrid)
Duration: Long Term Contract
Must Have Skills –
Building and Managing AI Agents: 5+ Years
AI/ML : 5+ Years
Jira: 8+ Years
Python Development: 5+ Years
open AI SDK: 5+ Years
Azure: 5+ Years
SQL Snowflake: 5+ Years
AI/ML : 5+ Years
Jira: 8+ Years
Python Development: 5+ Years
open AI SDK: 5+ Years
Azure: 5+ Years
SQL Snowflake: 5+ Years
Job Description:
Data AI Engineer with hands-on experience in developing applications using Large Language Models (LLMs).
Required to have a strong foundation in Python, deep learning, and data engineering, with a focus on building and deploying AI solutions using modern frameworks and tools.
Required to have a strong foundation in Python, deep learning, and data engineering, with a focus on building and deploying AI solutions using modern frameworks and tools.
Key Responsibilities:
Design, develop, and deploy LLM-powered applications using Python and frameworks such as the OpenAI SDK.
Apply deep learning techniques, with a strong emphasis on transformer architectures and modern neural network models.
Implement best practices in LLMOps, FMOps, and GenAIOps for scalable and maintainable AI workflows.
Perform data manipulation and analysis using tools like Pandas, NumPy, and Matplotlib.
Build interactive AI-driven applications and dashboards using Streamlit.
Collaborate with data engineering teams to ensure robust data pipelines and efficient model integration.
Apply deep learning techniques, with a strong emphasis on transformer architectures and modern neural network models.
Implement best practices in LLMOps, FMOps, and GenAIOps for scalable and maintainable AI workflows.
Perform data manipulation and analysis using tools like Pandas, NumPy, and Matplotlib.
Build interactive AI-driven applications and dashboards using Streamlit.
Collaborate with data engineering teams to ensure robust data pipelines and efficient model integration.
Required Qualifications:
Proven experience in developing AI/LLM applications using Python.
Proficient in deep learning concepts, especially transformer models (e.g., GPT, BERT).
Hands-on experience with the OpenAI SDK and similar LLM frameworks.
Solid understanding of MLOps principles, particularly related to LLMs (LLMOps/FMOps/GenAIOps).
Strong Python programming and data analysis skills (Pandas, NumPy, Matplotlib).
Familiarity with Streamlit for rapid prototyping and application deployment.
Good grasp of data engineering fundamentals and tools.
Proficient in deep learning concepts, especially transformer models (e.g., GPT, BERT).
Hands-on experience with the OpenAI SDK and similar LLM frameworks.
Solid understanding of MLOps principles, particularly related to LLMs (LLMOps/FMOps/GenAIOps).
Strong Python programming and data analysis skills (Pandas, NumPy, Matplotlib).
Familiarity with Streamlit for rapid prototyping and application deployment.
Good grasp of data engineering fundamentals and tools.
Thanks & Regards,
Rahul Kumar
Technical Recruiter
METASIS Information Systems
(a E-verify Company)
Fax : 214-291 2507
Email: rahul.k@metasisinfo.com
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