Gen AI Engineer
SolutionIT, Inc.
New York, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
New York, United States of America
Tech stack
Artificial Intelligence
Artificial Neural Networks
Computer Programming
Continuous Integration
Distributed Systems
Python
Open Source Technology
Performance Tuning
TensorFlow
Data Ingestion
PyTorch
Large Language Models
Spark
Containerization
Kubernetes
Machine Learning Operations
Data Pipelines
Docker
Requirements
- Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage.
- Experience deploying models with MLOps tools such as Vertex Pipelines, KubeFlow, or similar platforms.
- Experience implementing and supporting end-to-end Machine Learning workflows and patterns.
- Expert level programming skills in Python and experience with Data Science and ML packages and frameworks.
- Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
- Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.
- Experience and knowledge in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).
- Experience building AI/ML products using technologies such as LLMs, neural networks and others.
- Experience with RAG and Supervised Tuning techniques.
- Strong distributed systems skills and knowledge.
- Development experience of at least one public cloud provider, Preferably GCP.
- Excellent analytical, written, and verbal communication skills.
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