2 months ago
Westerville, OH, USASenior
Responsibilities
- Collaborate with business teams, data scientists, software engineers, and other stakeholders to define business objectives and technical requirements.
- Architect scalable Generative AI solutions using retrieval-augmented generation, transformer architectures, vectorization, embeddings, and multi-agent architectures.
- Develop applications using large language models including OpenAI GPT, Anthropic Claude, Google PaLM, and Meta Llama.
- Use LangChain and LlamaIndex for indexing, retrieval, and language-model chaining.
- Select Generative AI technologies, tools, and frameworks based on performance, precision, and scalability needs.
- Oversee large language model fine-tuning, deployment, monitoring, and evaluation.
- Build workflows covering data cleansing, preprocessing, model training or fine-tuning, and feedback loops.
- Conduct code reviews, document design decisions, mentor less experienced team members, and lead AI projects or teams.
- Track Generative AI advancements and identify opportunities for organizational adoption.
- Work with infrastructure teams to deploy and monitor large language models in operational cloud environments.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- At least 7 years of experience in artificial intelligence, machine learning, or data science.
- Experience with Generative AI architectures and frameworks, including retrieval-augmented generation, vectorization, embeddings, and multi-agent solutions.
- Experience working with multiple large language models, such as Azure OpenAI GPT 3.5/4.0, Meta Llama2/Llama3, and Google PaLM2.
- Experience designing and developing AI solutions involving natural language processing, computer vision, speech recognition, or deep learning.
- Experience deploying and monitoring AI solutions in AWS and/or Azure cloud environments.
- Experience leading or managing AI projects or teams.
- Strong analytical, problem-solving, communication, collaboration, presentation, and responsible AI skills.
- Preferred: master’s degree or PhD in AI, machine learning, data science, or a related field.
- Preferred: proficiency in Python, Java, or C++ and familiarity with TensorFlow, PyTorch, and Keras.
- Preferred: certification or training in AI, machine learning, or data science.
- Preferred: experience with Hadoop, Spark, Kafka, HTML, CSS, JavaScript, React, Angular, Jira, or Trello.
Benefits
- The position is based onsite at Vertiv’s Westerville, Ohio headquarters.
Tech Stack
AngularApache HadoopApache KafkaApache SparkAWSAzureC++CSSHTMLJavaJavaScriptKerasPythonPyTorchReactTensorFlow
Categories
About Vertiv
Vertiv builds power, cooling, and IT infrastructure for data centers, communication networks, and industrial facilities, sold as hardware, software, and services. Its portfolio spans UPS systems, thermal management, racks, prefabricated modules, and monitoring/management software, backed by global field service and commissioning. Headquartered in Columbus, Ohio, Vertiv was formed from Emerson Network Power and became a publicly traded company on the NYSE.