Yochana
AI/ML Lead(W2 Only)
Salary
-
Job type
Contractor
Location
Chester, Pennsylvania, US
Remote
No
Posted
4 days ago
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Browse resume examplesJob 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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