AI / ML Engineer / Data Scientist

Davita Inc.; Jersey City (NJ); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A premier healthcare company is looking for an AI/ML Engineer / Data Scientist in Jersey City, NJ. In this hybrid role, you will leverage over 6 years of experience to develop, implement, and manage AI solutions, focusing on machine learning and generative applications to drive business innovation. Join a dynamic team and contribute to cutting-edge projects that shape the future of healthcare technology.

Qualifications

• 6+ years of experience in Machine Learning and Data Science.
• Strong programming skills in Python and working with large datasets.
• Experience with Generative AI applications and development.

Responsibilities

• Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG).
• Design and develop machine learning models to address business challenges.
• Manage data pipelines and ensure seamless data flow for AI projects.

Skills

Machine Learning

Data Science

Python

Data Analysis

AI Development

Data Visualization

Generative AI

Prompt Engineering

Job description

Hybrid

AI / ML Engineer / Data Scientist

Job details

Posted

03 June 2025

Location

Jersey City, NJ

Job type

Permanent

Reference

913872

Job description

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 https://dexian.com/ 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.