Accellor, Inc
Senior Machine Learning Engineer
Accellor, Inc, Dallas, Texas, United States, 75215
At Accellor, we are a trusted consulting partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail verticals.We’ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy, and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture.About the Role
We are looking for a skilled Machine Learning Engineer to join our team! This role focuses on scaling machine learning systems and building innovative applications using Generative AI. As part of a collaborative, cross-functional team, you will have the opportunity to develop user-facing projects, such as AI-powered quizzes, that bring advanced machine learning to life. Your contributions will be pivotal in enhancing our AI capabilities and creating engaging, impactful solutions.What You’ll Be Doing
Building, deploying, and scaling machine learning models and applications, especially in the context of Generative AIDeveloping end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other NLP techniquesWorking with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS to drive developmentCollaborating closely with analytics and data teams and business stakeholders to align on requirements and objectivesContributing both independently and in team settings, providing regular updates to stakeholders and delivering robust AI solutionsWhat We’re Looking For:
Strong software engineering skills, particularly in PythonExperience with frameworks and tools relevant to large-scale machine learning, including Databricks, PySpark, and AirflowFamiliarity with LLMs, RAG, Langchain, and developing AI applicationsProficiency in AWS and experience deploying applications on cloud platformsSolid understanding of database schema design and queryingBachelor’s degree in Computer ScienceNice to Have:
Experience building end-to-end applications with LLMs and user-facing projectsKnowledge of NLP techniques and experience with Generative AIStrong problem-solving abilities, excellent communication skills, and the ability to work effectively with minimal guidance in a fully remote environment
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We are looking for a skilled Machine Learning Engineer to join our team! This role focuses on scaling machine learning systems and building innovative applications using Generative AI. As part of a collaborative, cross-functional team, you will have the opportunity to develop user-facing projects, such as AI-powered quizzes, that bring advanced machine learning to life. Your contributions will be pivotal in enhancing our AI capabilities and creating engaging, impactful solutions.What You’ll Be Doing
Building, deploying, and scaling machine learning models and applications, especially in the context of Generative AIDeveloping end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other NLP techniquesWorking with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS to drive developmentCollaborating closely with analytics and data teams and business stakeholders to align on requirements and objectivesContributing both independently and in team settings, providing regular updates to stakeholders and delivering robust AI solutionsWhat We’re Looking For:
Strong software engineering skills, particularly in PythonExperience with frameworks and tools relevant to large-scale machine learning, including Databricks, PySpark, and AirflowFamiliarity with LLMs, RAG, Langchain, and developing AI applicationsProficiency in AWS and experience deploying applications on cloud platformsSolid understanding of database schema design and queryingBachelor’s degree in Computer ScienceNice to Have:
Experience building end-to-end applications with LLMs and user-facing projectsKnowledge of NLP techniques and experience with Generative AIStrong problem-solving abilities, excellent communication skills, and the ability to work effectively with minimal guidance in a fully remote environment
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