Full Stack AI/ML Engineer/Software Development Engineer

Overview

Hybrid
$70 - $75
Contract - W2
Contract - 06 Month(s)

Skills

AI ML Application Software Engineering
LangGraph frameworks
Agentic AI
Retrieval-Augmented Generation (RAG)
foundational systems
NumPy
pandas
etc.
Gen AI
Snowflake cortex
API Development and management

Job Details

Immediate need for a talented Full Stack AI/ML Engineer/Software Development Engineer. This is a 06+months contract to hire opportunity with long-term potential and is located in Jersey City NJ(Primary), Secondary- Boston MA , Tampa FL, Coppell, TX (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-73392

Pay Range: $70 - $75/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

  • Generative AI Application Development
  • Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic AI Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).
  • Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
  • Model Development and Deployment
  • Design and develop machine learning models and algorithms to address business challenges and improve product features.
  • Deploy machine learning models in production environments to ensure scalability and efficiency.
  • Optimize and refine models based on performance metrics and feedback.
  • Data Management
  • Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.
  • Implement data augmentation and feature engineering techniques to enhance model performance.
  • Maintain and manage data pipelines to ensure seamless data flow and integration.
  • Python API Development
  • Develop scalable APIs in python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencing
  • Research and Innovation
  • Stay updated with the latest trends and advancements in AI and machine learning technologies.
  • Conduct research to explore new methodologies and techniques that can be applied to current and future projects.
  • Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions
  • Collaboration and Communication
  • Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.
  • Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
  • Provide mentorship and guidance to junior team members and contribute to the upskilling of the teams.

Key Requirements and Technology Experience: 

  • Key Skills;AI ML Application Software Engineering
  • LangGraph frameworks, Agentic AI, Retrieval-Augmented Generation (RAG), foundational systems, NumPy, pandas, etc.
  • Gen AI, Snowflake cortex
  • API Development and management
  • Bachelor's or Master’s degree in computer science, Statistics, Data Science, or a related field.
  • 6+ years of experience in Machine Learning and Data Science.
  • Strong programming skills in Python
  • Experience working with large datasets and performing data analysis.
  • Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).
  • Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniques
  • Proven experience in developing and deploying machine learning models in a production environment.
  • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.
  • Experience with Client Data Pipelines (stream, task, UDF) and Cortex features is a plus
  • Experience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.
  • Experience in building Asynchronous Python APIs for model inferencing.
  • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
  • Previous experience in a similar role or industry is preferred.
  • Excellent communication and collaboration skills.
  • Strong problem-solving skills and analytical thinking
  • Passion for learning and staying up-to-date with the latest advancements in AI field

Our client is a leading Financial Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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