Lead Data Scientist GenAI, LLMs & MLOps (Hybrid)

Incedo Inc.; Florham Park (NJ); Hybrid; USD 156,000 - 190,000; Full time

Benefits offered by this job

Standard company benefits

Job summary

Incedo Inc. in Florham Park, NJ seeks a Lead Data Scientist to architect GenAI and LLM-powered solutions, including GPT-4, LLaMA, and RAG pipelines for customer query resolution, search, and risk narration across telecom and banking sectors.

You will lead multidomain predictive modeling using deep learning, anomaly detection, and 5G telemetry, while building AML and financial risk models and driving enterprise-scale MLOps/LLMOps on cloud platforms, plus GenAI BI dashboards and mentoring teams.

Qualifications

• Bachelor's degree and five years' experience in data science or related field.
• Experience with ML/DL, time-series, BI in telecom or banking domains.
• Hands-on with LLMs, RAG systems, NLP pipelines, and cloud MLOps/LLMOps.

Responsibilities

• Architect and deploy GenAI and LLM-powered systems (GPT-4, LLaMA, RAG pipelines).
• Lead multidomain predictive modeling using deep learning, anomaly detection, and 5G telemetry for real-time optimization.
• Develop AML/financial risk models and regulatory compliance frameworks.
• Build enterprise-scale MLOps/LLMOps pipelines on AWS/Azure/GCP.
• Design GenAI-driven BI dashboards for executive reporting.
• Mentor cross-functional data science teams.

Skills

Machine learning

Deep learning

Time-series analysis

Business Intelligence

Education

Bachelor's degree in Computer Science, Data Science, Electronic Engineering, or related field

Tools

Python

Scikit-learn

TensorFlow

PyTorch

Hugging Face

LangChain

LlamaIndex

Apache Spark

Job description

Incedo Inc. in Florham Park, NJ seeks a Lead Data Scientist to architect GenAI and LLM-powered solutions, including GPT-4, LLaMA, and RAG pipelines for customer query resolution, search, and risk narration across telecom and banking sectors.

You will lead multidomain predictive modeling using deep learning, anomaly detection, and 5G telemetry, while building AML and financial risk models and driving enterprise-scale MLOps/LLMOps on cloud platforms, plus GenAI BI dashboards and mentoring teams.