Description JOB SUMMARY: We are looking for a Machine Learning Engineer to join Client Group to be part of our AI and data insight journey. Additionally, this person will help drive our AI implementations related technologies/solutions to address current and future business opportunities. This person must have strong experience with prompt engineering, designing, developing/deploying ML systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest developments in the field. Experience working with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. They must have a proven ability to drive business results with their data-based insights and be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for ML and working with stakeholders to improve business outcomes. ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES: Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks. Collaborate with data scientists, data engineers, and data architects on production systems and applications. Identify differences in data distribution that could potentially affect model performance in real-world applications. Ensure algorithms generate accurate responses. Assess the effectiveness and accuracy of new data sources and execute data wrangling techniques. Develop processes and tools to monitor and analyze model performance and data accuracy. SUPERVISORY RESPONSIBILITIES: No expectations of supervisory responsibility to begin with; however, this role will have multiple leadership opportunities over time - as such, candidates must be able to mentor and teach. KNOWLEDGE, SKILLS AND ABILITIES: Experience building and operationalizing retrieval augmented generation (RAG) frameworks. Experience utilizing LLMs to provide software automation capability integrations. Experience configuring vectors databases for semantic search. Experience with LangChain and sentence transformer frameworks. Experience with ChatGPT4 (or comparable models). Experience with MLOps. Strong understanding of AI/ML cloud services and infrastructure, including how to leverage them and experience with SaaS infrastructure technologies (AWS/Azure preferred). Experience using Python and SQL to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. A drive to learn and master new technologies and techniques. Ability to quickly assimilate, organize, analyze, abstract, and synthesize large amounts of information and to make decisions based on this analysis. Excellent written and verbal communication skills. Ability to present and explain technical concepts to non-technical audiences. Comfortable working in a dynamic and changing environment. Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions. Self-motivated / Creative / Innovative.

JPC Partners is looking for a Machine Learning Engineer that will help drive implementations of AI and related technologies to address current and future business opportunities. Must have strong experience with prompt engineering, systems design, algorithm selection, conducting experiments, and developing/deploying ML systems. Additionally, they must have a passion for technology and stay current with the latest developments in the field. Must be comfortable working on early-stage proofs of concept. They must have a proven ability to translate high-level product needs into functional requirements. The right candidate will have strong communication skills to work across the organization and the ability to understand what business leaders want to gain from the large datasets. Essential Job functions & responsibilities: <ul> <li> Work cross-functionally with Data Scientists, Full-Stack Developers, and Subject Matter Experts to build pilots and proofs of concepts (POCs) </li> <li> Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks. </li> <li> Ideate new ways to use company and external datasets to power additional projects. </li> <li> Design guardrails to ensure algorithms generate accurate and helpful responses. </li> <li> Keep up-to-date with new technology releases and brainstorm how the client can harness their potential </li> </ul> Skillsets and experience: <ul> <li> Experience with relevant frameworks and technologies, including: <ul> <li> Building production-quality RAG (retrieval-augmented generation) systems. </li> <li> Configuring vectors databases for semantic search. </li> <li> Using LangChain and sentence transformer frameworks. </li> <li> Integrating with GPT-4 (or comparable models). </li> <li> MLOps lifecycle from ideation to production. </li> <li> Common AI/ML cloud services and infrastructure offerings (preferably AWS/Azure) </li> <li> Manipulating data and drawing insights using Python and SQL </li> </ul> </li> <li> Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. </li> <li> A drive to learn and master new technologies and techniques. </li> <li> Excellent written and verbal communication skills. </li> <li> Ability to present and explain technical concepts to non-technical audiences. </li> <li> Comfort working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions. </li> <li> Degree in a STEM field </li> </ul>

Machine Learning Engineer Jobs in King of Prussia, PA

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Machine Learning Engineer Jobs in King of Prussia, PA

Machine Learning EngineerSeptember 1, 2024

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Machine Learning EngineerAugust 10, 2024

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Machine Learning Engineer
September 1, 2024

Machine Learning Engineer
September 1, 2024

Machine Learning Engineer
August 10, 2024