Yochana

Yochana

AI/ML Lead

Chester, Pennsylvania, USContractor4 days agovia LinkedIn

Salary

-

Job type

Contractor

Location

Chester, Pennsylvania, US

Remote

No

Posted

4 days ago

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Job description

Job Title : AI/ML Lead Engineer

Location : Chester , PA(Onsite)

Duration : Contract

Job Description

  • 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 GCP 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.
  • 1.

Thanks & Regards

Rushinga Reddy

Yochana Solutions Inc

248-598-7513 (D) || rushi@yochana.com

248-876-4228(Fax)

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 GCP 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

Qualifications

  • 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

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