

GenAI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI/ML Engineer with a long-term contract, located in Rutherford, NJ / Tampa, FL / Irving, TX (Hybrid). Requires 9+ years of experience, strong Java and Python skills, and expertise in AI/ML technologies and libraries.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 30, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Irving, TX
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π§ - Skills detailed
#Programming #Python #Langchain #Visualization #NumPy #Matplotlib #Cloud #Snowflake #Data Pipeline #API (Application Programming Interface) #Libraries #FastAPI #TensorFlow #AWS (Amazon Web Services) #Deployment #PyTorch #Datasets #Scala #Tableau #Java #Data Analysis #ML (Machine Learning) #AI (Artificial Intelligence) #Pandas
Role description
Iris's client, the largest bank in the United States is looking to hire Genai/ML Engineer
Please find below the job details and share your resume if interested at sandeep.goel@irissoftware.com
LOOKING FOR CANDIDATES WHO CAN WORK ON W2
Job Description:
Title: Genai/ML Engineer
Location: Rutherford, NJ / Tampa, FL / Irving, TX (Hybrid β 3days/Week)
Duration: Long term assignment
Client is looking for a strong Java developer .
Atlease 9 years of experience.
Description:
β’ Looking for a hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you'll play a pivotal role in spearheading AI initiatives and innovation.
β’ As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.
Skills & Experience Needed:
β’ 5+ years of experience in Machine Learning.
β’ Hands on experience with writing code, machine learning technologies, API development/Python, Pandas, NumPy
β’ Experience in Generative AI (RAG/ Agentic AI apps) - building Gen AI Apps.
β’ Strong programming skills in Python
β’ Experience working with large datasets and performing data analysis.
β’ Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).
β’ Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniques
β’ Proven experience in developing and deploying machine learning models in a production environment.
β’ Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.
β’ Experience with Snowflake Data Pipelines (stream, task, UDF) and Cortex features is a plus
β’ Experience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.
β’ Experience in building Asynchronous Python APIs for model inferencing.
β’ Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
β’ Previous experience in a similar role or industry is preferred.
β’ Passion for learning and staying up-to-date with the latest advancements in AI field
β’ Excellent communication and collaboration skills. Strong problem-solving skills and analytical thinking
Responsibilities:
Generative AI Application Development
β’ Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).
β’ Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
β’ Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
Python API Development: Develop scalable APIs in Python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencing
Model Development and Deployment
β’ Design and develop machine learning models and algorithms to address business challenges and improve product features.
β’ Deploy machine learning models in production environments to ensure scalability and efficiency.
β’ Optimize and refine models based on performance metrics and feedback
Best Regards,
Sandeep Goyal
Address: 200 Metroplex Dr. Edison, NJ 08817
Cell: 732.426.8546
Email: sandeep.goel@irissoftware.com | www.irissoftware.com
Iris's client, the largest bank in the United States is looking to hire Genai/ML Engineer
Please find below the job details and share your resume if interested at sandeep.goel@irissoftware.com
LOOKING FOR CANDIDATES WHO CAN WORK ON W2
Job Description:
Title: Genai/ML Engineer
Location: Rutherford, NJ / Tampa, FL / Irving, TX (Hybrid β 3days/Week)
Duration: Long term assignment
Client is looking for a strong Java developer .
Atlease 9 years of experience.
Description:
β’ Looking for a hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you'll play a pivotal role in spearheading AI initiatives and innovation.
β’ As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.
Skills & Experience Needed:
β’ 5+ years of experience in Machine Learning.
β’ Hands on experience with writing code, machine learning technologies, API development/Python, Pandas, NumPy
β’ Experience in Generative AI (RAG/ Agentic AI apps) - building Gen AI Apps.
β’ Strong programming skills in Python
β’ Experience working with large datasets and performing data analysis.
β’ Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).
β’ Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniques
β’ Proven experience in developing and deploying machine learning models in a production environment.
β’ Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.
β’ Experience with Snowflake Data Pipelines (stream, task, UDF) and Cortex features is a plus
β’ Experience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.
β’ Experience in building Asynchronous Python APIs for model inferencing.
β’ Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
β’ Previous experience in a similar role or industry is preferred.
β’ Passion for learning and staying up-to-date with the latest advancements in AI field
β’ Excellent communication and collaboration skills. Strong problem-solving skills and analytical thinking
Responsibilities:
Generative AI Application Development
β’ Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).
β’ Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
β’ Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
Python API Development: Develop scalable APIs in Python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencing
Model Development and Deployment
β’ Design and develop machine learning models and algorithms to address business challenges and improve product features.
β’ Deploy machine learning models in production environments to ensure scalability and efficiency.
β’ Optimize and refine models based on performance metrics and feedback
Best Regards,
Sandeep Goyal
Address: 200 Metroplex Dr. Edison, NJ 08817
Cell: 732.426.8546
Email: sandeep.goel@irissoftware.com | www.irissoftware.com