Overview
On Site
$50+
Contract - W2
Contract - 12 Month(s)
Skills
GENAI
Machine Learning
Data Science
Deep Learning
Job Details
Role: Data Scientist - GenAI
Location: Basking Ridge, NJ (2-3 days onsite)
Visa : All visas will work
Experience Level: Overall 5-6 years genuine and smart candidates (with up to the last 1 year of Gen AI Experience as per the JD attached)
Core skills: GENAI, Machine Learning, Data Science, Deep Learning
About the Role:
We are looking for a versatile and driven Generative AI & Data Science Engineer to join our growing AI/ML team. This hybrid role spans the cutting edge of LLM-based multi-agent systems and data-driven modeling, combining technologies like LangGraph, RAG, VectorDBs, and cloud ML platforms (Google Cloud Platform, AWS) with classical data science practices including predictive modeling, experimentation, and statistical analysis.
Key Responsibilities:
Generative AI / Multi-Agent Systems:
- Build and manage multi-agent GenAI applications using LangGraph, including agent orchestration, memory handling, and dynamic routing.
- Design and implement RAG pipelines for enterprise search, intelligent assistants, and task automation, leveraging best practices in chunking and embedding generation.
- Integrate with Vector Databases (e.g., Pinecone, Weaviate, FAISS) to enable scalable semantic search and retrieval.
- Fine-tune LLMs using techniques like LoRA, PEFT, and parameter-efficient tuning for domain-specific use cases.
- Deploy GenAI systems using Vertex AI (Google Cloud) and AWS ML services (SageMaker, Bedrock, Lambda).
Data Science & Analytics:
- Conduct exploratory data analysis, build predictive and statistical models (e.g., regression, classification, clustering), and generate actionable insights.
- Design and execute experiments (A/B testing) to validate feature changes, GenAI-driven enhancements, and ML model outputs.
- Collaborate with stakeholders to translate business problems into data and ML-driven solutions.
- Develop and automate dashboards, reporting pipelines, and model monitoring tools for continuous feedback loops.
- Support feature engineering, data wrangling, and data quality analysis using SQL, Pandas, and other data science libraries.
Required Skills and Qualifications:
- Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field.
- 3 6 years of combined experience in Data Science and AI/ML Engineering roles.
- Hands-on experience with LangGraph, LangChain, and/or similar LLM orchestration frameworks.
- Solid foundation in machine learning, statistical modeling, and data analytics.
- Proficiency with Python, including libraries like Scikit-learn, Pandas, NumPy, PyTorch, or TensorFlow.
- Strong SQL skills and experience working with structured and unstructured data.
- Experience deploying ML/GenAI models on cloud platforms (Vertex AI, Google Cloud Platform, AWS).
- Working knowledge of RAG, fine-tuning, and vector embeddings.
Preferred Qualifications:
- Familiarity with agent frameworks like CrewAI, AutoGen, or Langgraph.
- Experience integrating LLMs into data pipelines, business intelligence tools, or decision support systems.
- Contributions to open-source GenAI, data science projects, or publications.
- Understanding of model governance, responsible AI, and cloud cost optimization
Please Attach your resume in word document and provide me below details for immediate submission
First Name :
Last Name
Current Location :
Contact Number :
Email ID :
Hourly Rate:
Interviews or Offers in Pipeline :
Work Authorization in USA :
Interview Availability :
Start Availability :
Open to relocate and work onsite :
Linkedin
Thanks & Regards
Najeeb
VBEST SOFTWARE INC.,
Email :
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.