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.
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.
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.
Rate:
Not specified
Location:
Remote or Chicago, Illinois
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior