AI/ML Engineer

Jobs via Dice; Jersey City (NJ); On-site; USD 80,000 - 100,000; Full time

Job summary

A prominent tech company is seeking a passionate AI/ML Engineer to join its Technology Research and Innovation team in Jersey City. The successful candidate will lead the design and development of AI systems, focusing on Generative AI and utilizing advanced machine learning techniques. Strong candidates will demonstrate extensive experience in Python and machine learning frameworks while collaborating across teams to implement scalable solutions.

Qualifications

• 6+ years of hands-on experience in Machine Learning and Data Science.
• Strong programming skills in Python.
• Proficiency in ML and AI frameworks.

Responsibilities

• Lead the design, development, and deployment of AI systems.
• Build and deploy Generative AI solutions using RAG and Agentic Workflows.
• Design, train, and optimize machine learning models.

Skills

Machine Learning

Data Science

Generative AI

Python

Prompt Engineering

Data Management

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

Snowflake

FastAPI

Gunicorn

Uvicorn

Job description

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Judge Group, Inc., is seeking the following. Apply via Dice today!

Location: Jersey City, NJ

Salary: $65.00 USD Hourly - $75.00 USD Hourly

Description:

We're looking for a passionate, hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team. In this role, you will lead the design, development, and deployment of AI systems that solve complex challenges and drive our technology strategy forward. You'll work closely with cross-functional teams to implement scalable AI solutions and explore innovative techniques in Generative AI, LLMs, and advanced machine learning.

Responsibilities

Generative AI Application Development

• Build and deploy Generative AI solutions using techniques like Retrieval-Augmented Generation (RAG) and Agentic AI Workflows.
• Apply prompt engineering, LLM fine-tuning, and evaluation strategies to optimize model performance.
• Integrate AI solutions into production systems, collaborating with engineering and product teams.
  
  

Model Development and Deployment

• Design, train, and optimize machine learning models to address business needs.
• Deploy models in production environments ensuring scalability, reliability, and maintainability.
• Monitor and improve models based on performance metrics and user feedback.
  
  

Data Management

• Collect, clean, and preprocess large-scale datasets for model training and evaluation.
• Apply feature engineering and data augmentation techniques to boost model effectiveness.
• Build and maintain data pipelines using tools like Snowflake (Streams, Tasks, UDFs).
  
  

Python API Development

• Build asynchronous, scalable Python APIs (FastAPI, Gunicorn, Uvicorn) for model inference and integration.
  
  

Research and Innovation

• Stay up to date with the latest AI research and industry trends, especially in Generative AI and LLMs.
• Explore and prototype new AI methodologies that drive innovation.
• Contribute to technical roadmaps and innovation strategy.
  
  

Collaboration and Communication

• Partner with engineers, data scientists, and product managers to align AI efforts with business objectives.
• Communicate technical findings clearly to both technical and non-technical audiences.
• Mentor junior engineers and promote a culture of continuous learning.
  
  

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 6+ years of hands-on experience in Machine Learning and Data Science.
• Strong programming skills in Python.
• Experience working with large datasets, data preprocessing, and data analysis.
• Proficiency in ML and AI frameworks: TensorFlow, PyTorch, scikit-learn, LangChain.
• Solid foundation in statistical methods, data structures, and algorithms.
• Familiarity with prompt engineering, LLM fine-tuning, and evaluation techniques.
• Proven experience deploying ML models in production environments.
• Experience developing Python APIs for model inference.
  
  

Preferred Qualifications

• Experience with Generative AI architectures (e.g., RAG, Agentic Workflows).
• Experience with Snowflake Data Pipelines (Streams, Tasks, UDFs) and Cortex.
• Experience with AWS SageMaker, Bedrock, and other AWS cloud AI services.
• Familiarity with asynchronous API frameworks (FastAPI, Gunicorn, Uvicorn).
• Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau.
• Previous experience in a similar role or industry.
• Excellent communication and collaboration skills.
• Strong problem-solving ability and passion for continuous learning.
  
  

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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