Professional experience in Artificial Intelligence solutions, particularly in Machine Learning and Large Language Models (LLMs)., Hands-on experience with Machine Learning projects and Natural Language Processing (NLP)., Proficiency in Python programming and familiarity with data pipelines and vector databases., Desirable experience with model deployment and Oracle Cloud Infrastructure (OCI)..
Key responsibilities:
Lead and standardize technical management processes for complex technical projects.
Manage delivery across Peloton’s Global Delivery Centers.
Implement AI solutions using techniques like Retrieval-Augmented Generation (RAG).
Collaborate with clients to achieve results in various industries, leveraging deep functional and technical expertise.
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Peloton Consulting Group has the vision and connected capabilities to help business leaders envision, implement and realize the benefits of digital transformation. Our team has the best practices, knowledge, industry expertise, and know-how to work in partnership with your organization to drive change and make digital transformation a reality for our clients through leveraging Enterprise Performance Management (EPM), Enterprise Resource Planning (ERP), Human Capital Management (HCM), Supply Chain Management (SCM), Big Data & Analytics, and Data applications for the cloud.
Recognized on the Inc. 5000 fastest growing companies in the US, Peloton is one of the largest and fastest growing professional services firms specializing in Integrated Cloud Solutions for Enterprise Resource Planning, Enterprise Performance Management, Supply Chain Management, Human Capital Management and Big Data and Analytics. Peloton has the vision and connected capabilities to help CFOs, CIOs and business leaders to envision, implement and realize the benefits of digital transformation. Companies that are equipped with the right information, have the know-how, and the enabling technology to consistently leverage analytics will gain a competitive advantage. Our people are recognized as some of the best minds and most committed people in the industry. We believe in quality. We appreciate creativity. We recognize individual contributions, and we place trust in our team members. And…we love what we do.
Peloton provides Advisory, Consulting, and Managed services with deep functional and technical expertise specializing in serving clients in the Life Sciences, Retail, Manufacturing, Insurance, Aerospace and Defense and Financial Services industries. Our business and technology professionals provide a unique perspective, proven experience, with an innovative and collaborative approach to achieve results for clients.
Peloton provides our clients’ services which span the entirety of Oracle’s SaaS and PaaS services. This requires expertise in how to effective manage complex technical projects spanning across multiple technologies, functional areas as well as manage delivery across Peloton’s Global Delivery Centers. Peloton is looking for an experienced leader in this space to lead and standardize technical management processes.
Description Professional with experience in Artificial Intelligence solutions, focusing on Machine Learning and Large Language Models (LLMs), including the application of techniques such as Retrieval-Augmented Generation (RAG).
Required Knowledge
Hands-on experience with Machine Learning projects (supervised and unsupervised)
Knowledge in Natural Language Processing (NLP)
Experience with LLMs (e.g., OpenAI, Cohere, Gemini, etc.)
Implementation of solutions using RAG (Retrieval-Augmented Generation)
Experience with frameworks like LangChain, LlamaIndex, or similar
Knowledge of data pipelines and vector databases such as FAISS, Weaviate, or Pinecone
Programming in Python (preferred), including libraries like scikit-learn, Pandas, and NumPy
Desirable: experience with model deployment (REST APIs, containers, etc.)
Desirable: familiarity with Oracle Cloud Infrastructure (OCI)
Peloton Group is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.