Principal Machine Learning Engineer
Tasks
- Build and deploy machine learning models for workload prediction and optimization
- Collaborate with engineering product and devops teams for delivery
- Define scalable machine learning architectures
- Drive mlops best practices for reliability and scalability
- Integrate llm and genai frameworks into production systems
- Lead end to end machine learning and genai solution development
- Monitor and improve deployed AI systems
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Databricks | GenAI | Hugging Face | Infrastructure as Code | LLM Engineering | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | OpenAI | PyTorch | Python | Scikit-learn | TensorFlow | Terraform | “as-code”
Education
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