Hi,
Hope you are doing well,
Please find the job description given below and let me know your interest.
Position: AI/ML & AI Modeling Engineer (Onsite)
Location: Malvern, PA (relocation yes)
Duration : 6+ months
Job Description:
Client is seeking a highly skilled AI/ML & AI Modeling Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions that drive innovation across enterprise platforms. The ideal candidate will have expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), AI Modeling, Python, MLOps, and cloud technologies. This role involves building production-grade AI models, developing intelligent applications, and collaborating with cross-functional teams to deliver high-impact AI solutions.
Must-Have Technical Skills
Python
Machine Learning (Scikit-learn, XGBoost, LightGBM)
Deep Learning (TensorFlow, PyTorch)
Natural Language Processing (NLP)
Large Language Models (LLMs)
Generative AI
Prompt Engineering
Retrieval-Augmented Generation (RAG)
LangChain / LangGraph
AI Agents
MLflow
Azure Machine Learning or AWS SageMaker
Azure OpenAI Service
SQL
Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Azure AI Search)
Docker
Kubernetes
Git
CI/CD
Roles & Responsibilities :
Design, develop, and deploy machine learning and AI models for enterprise-scale applications.
Build predictive, classification, recommendation, forecasting, and NLP models using modern ML frameworks.
Develop and fine-tune Generative AI solutions using LLMs such as GPT, Llama, Mistral, or Claude.
Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
Develop AI agents and orchestrate workflows using LangChain, LangGraph, or similar frameworks.
Create effective prompt engineering strategies and optimize LLM performance.
Build scalable AI APIs and integrate AI models into enterprise applications.
Deploy AI/ML models using MLOps best practices, including model versioning, monitoring, and automated retraining.
Optimize model performance, latency, scalability, and cost.
Collaborate with Data Engineers, Software Engineers, Product Owners, and Business Stakeholders.
Ensure AI governance, model explain ability, security, compliance, and responsible AI practices.
Participate in Agile ceremonies, architecture discussions, and code reviews.
Required Qualifications :
7–10 years of experience in AI/ML Engineering or Data Science.
Strong programming expertise in Python.
Experience with machine learning, deep learning, and AI model development.
Hands-on experience with Generative AI, LLMs, and RAG architectures.
Strong understanding of NLP, transformer models, embedding's, and vector search.
Experience deploying production-grade AI models using Azure Machine Learning or AWS SageMaker.
Hands-on experience with Docker, Kubernetes, and cloud-native deployments.
Experience with MLOps tools such as MLflow, Kubeflow, or Azure ML.
Strong knowledge of SQL and data processing.
Excellent analytical, communication, and problem-solving skills.
If you are interested, please share your updated resume and suggest the best number & time to connect with you.
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