AI/ML Lead Engineer (Visa independent only)

Chester, PA, US • Posted 9 hours ago • Updated 9 hours ago
Contract Corp To Corp
Contract W2
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI/ML
  • Machine Learning
  • Python
  • NumPy
  • Pandas
  • PyTorch
  • TensorFlow
  • Data Engineering
  • SQL
  • Databricks
  • Datalake
  • NOSQL
  • MLOPS
  • AWS
  • AZURE
  • Generative AI
  • Web Development
  • Flask
  • Fast API
  • React JS
  • Telecom Domain
  • BSS
  • OSS

Summary

Job Title: AI/ML Lead Engineer
Location: Chester , PA

Skill

Mandatory

Machine Learning

Yes

Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow)

Yes

Data Engineering (SQL, Pandas, Databricks, Data Lake, NoSQL, ML/OPS ingestion)

Yes

Cloud & MLOps (AWS SageMaker, Azure ML, Azure Data Factory, Google Cloud Platform AI Platform, Git, Docker, CI/CD)

Yes

Generative AI

Yes

Web Development (Flask, FastAPI, React JS or similar)

Yes

Telecom Domain (BSS/OSS)

Preferred

Key Responsibilities

  • Develop and deploy Machine Learning and Generative AI solutions for enterprise applications.
  • Build end-to-end ML pipelines including data ingestion, preprocessing, model training, evaluation, and deployment.
  • Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
  • Develop LLM-powered applications using frameworks such as OpenAI, LangChain, Hugging Face, or LlamaIndex.
  • Design and manage data pipelines using SQL, Pandas, Databricks, Data Lakes, and NoSQL databases.
  • Implement MLOps workflows including model versioning, CI/CD pipelines, and containerization.
  • Deploy and manage ML workloads on AWS SageMaker, Azure ML, or Google Cloud Platform AI Platform.
  • Build REST APIs or backend services using frameworks like Flask or FastAPI to integrate AI models into applications.
  • Collaborate with business stakeholders to develop AI solutions for Telecom BSS/OSS use cases.

Required Skills and experience-
Total 12+yrs of experience

Strong expertise in Python and Machine Learning frameworks. Experience with data engineering pipelines and cloud-based ML deployments. Knowledge of MLOps practices including Git, Docker, and CI/CD pipelines. Working knowledge of backend development for AI services. Experience with Generative AI and LLM-based applications.

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.
  • Dice Id: 90941404
  • Position Id: 8905262
  • Posted 9 hours ago
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