AIML Lead Engineer
Share
Job Location:
Chester, MT - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Position: ML Engineer with python and AI
Location: Chester PA onsite
Duration: Contract
JD:
Role Overview
We are looking for an AI/ML Lead Engineer with strong Python Machine Learning and Data Engineering expertise to design and deploy scalable AI solutions. The role involves developing ML pipelines building GenAI applications and deploying models using cloud-based MLOps platforms. Experience in the Telecom BSS/OSS domain is 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 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-
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
Key Skills
- Administrative Skills
- Facilities Management
- Biotechnology
- Creative Production
- Design And Estimation
- Architecture
