Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Job: Senior AI/ML Engineer
Location: (St. Louis, MO, Philadelphia, PA, Wilmington, DE, Columbus, OH, Chicago, IL, Minneapolis, MN, Detroit, MI.)
Contact: 12+ Months
Looking for W2 candidates. No C2C
Location: (St. Louis, MO, Philadelphia, PA, Wilmington, DE, Columbus, OH, Chicago, IL, Minneapolis, MN, Detroit, MI.)
Contact: 12+ Months
Looking for W2 candidates. No C2C
Job Summary:
We are seeking a Senior AI/ML Engineer with 8+ years of experience in Python, TensorFlow, PyTorch, Scikit-learn, LLMs, Generative AI, RAG, LangChain, and AWS/Azure to build and deploy scalable AI/ML solutions for enterprise applications.
We are seeking a Senior AI/ML Engineer with 8+ years of experience in Python, TensorFlow, PyTorch, Scikit-learn, LLMs, Generative AI, RAG, LangChain, and AWS/Azure to build and deploy scalable AI/ML solutions for enterprise applications.
Responsibilities:
Design, develop, and deploy AI/ML models for enterprise applications.
Build scalable machine learning pipelines and data preprocessing workflows.
Develop and optimize LLM, NLP, and Generative AI solutions.
Integrate AI models with cloud platforms and production systems.
Monitor model performance, retrain models, and improve accuracy.
Collaborate with Data Engineers, Data Scientists, and software development teams.
Design, develop, and deploy AI/ML models for enterprise applications.
Build scalable machine learning pipelines and data preprocessing workflows.
Develop and optimize LLM, NLP, and Generative AI solutions.
Integrate AI models with cloud platforms and production systems.
Monitor model performance, retrain models, and improve accuracy.
Collaborate with Data Engineers, Data Scientists, and software development teams.
Mandatory Skills:
8+ years of AI/ML engineering experience.
Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
Experience with LLMs, Generative AI, RAG, LangChain, and Vector Databases.
Knowledge of AWS or Azure AI/ML Services.
Experience with Docker, Kubernetes, Git, and CI/CD.
Strong SQL and data engineering fundamentals.
8+ years of AI/ML engineering experience.
Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
Experience with LLMs, Generative AI, RAG, LangChain, and Vector Databases.
Knowledge of AWS or Azure AI/ML Services.
Experience with Docker, Kubernetes, Git, and CI/CD.
Strong SQL and data engineering fundamentals.
Preferred Skills:
MLOps use MLflow or Kubeflow.
Apache Spark or PySpark.
Hugging Face Transformers.
Databricks and Snowflake.
Knowledge Graphs and Graph Databases.
Excellent communication and problem-solving skills.
MLOps use MLflow or Kubeflow.
Apache Spark or PySpark.
Hugging Face Transformers.
Databricks and Snowflake.
Knowledge Graphs and Graph Databases.
Excellent communication and problem-solving skills.
Best Regards:
Sophia Sinclair
Phone:
Email:
Sophia Sinclair
Phone:
Email:
Skills
Docker
SQL
AWS
MLOps
MLflow
Machine Learning
NLP
Scikit-learn
Snowflake
Apache
Apache Spark
Azure
Databricks
Generative AI
Git
Hugging Face
Kubernetes
LLM
PyTorch
Python
TensorFlow
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