AI / ML Engineer / Data Scientist

Jobs via Dice; Jersey City (NJ); Hybrid; USD 96,000 - 164,000; Full time

Job summary

A leading technology company is seeking an AI/ML Engineer/Data Scientist in Jersey City or Boston for a hybrid role. This position involves spearheading AI initiatives using advanced machine learning techniques and developing scalable APIs. Ideal candidates will have over 6 years of experience and proficiency in AI tools and frameworks, driving innovation in a collaborative environment. Join us to explore new methods in the rapidly evolving AI landscape.

Qualifications

• 6+ years of experience in Machine Learning and Data Science.
• Hands-on experience with Python and machine learning technologies.
• Strong communication and collaboration skills.

Responsibilities

• Develop and implement AI solutions like Retrieval-Augmented Generation.
• Collaborate with teams to integrate AI solutions into existing systems.
• Optimize machine learning models for performance.

Skills

Machine Learning

Data Science

Python

Generative AI

APIs

Data Analysis

Data Visualization

Collaboration

Problem Solving

Analytical Thinking

Tools

AWS

TensorFlow

PyTorch

Pandas

NumPy

Matplotlib

Seaborn

Tableau

Job description

1 week ago Be among the first 25 applicants

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

Job Title: AI/ML Engineer / Data Scientist

Location: Jersey City, NJ [OR] Boston, MA ( Choose Any 1 )

Hybrid: 3 days Onsite & 2 days REMOTE

Duration: 6+ Months (CONTRACT TO HIRE)

Description:

• 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.
• 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:

• 6+ years of experience in Machine Learning and Data Science.
• Hands on experience with writing code, machine learning technologies, API development/Python, Pandas, NumPy
• Experience in Generative AI (RAG/ Agentic AI apps) - building Gen AI Apps.
• 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 Snowflake 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.
• Passion for learning and staying up-to-date with the latest advancements in AI field
• Excellent communication and collaboration skills. Strong problem-solving skills and analytical thinking
  
  

Responsibilities:

Generative AI Application Development

• 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).
• 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.
  
  

Python API Development: Develop scalable APIs in Python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencing

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.
  
  

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.
  
  

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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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