Senior Machine Learning Engineer

Posted 3 months agoViewed

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💎 Seniority level: Senior

📍 Location: United States

🔍 Industry: Financial, Retail, High Tech, Healthcare, and Retail

🏢 Company: Accellor

🪄 Skills: AWSPythonMachine LearningAirflowCommunication SkillsCollaboration

Requirements:

Strong software engineering skills, particularly in Python
Experience with frameworks and tools relevant to large-scale machine learning, including Databricks, PySpark, and Airflow
Familiarity with LLMs, RAG, Langchain, and developing AI applications
Proficiency in AWS and experience deploying applications on cloud platforms
Solid understanding of database schema design and querying
Bachelor’s degree in Computer Science

Responsibilities:

Building, deploying, and scaling machine learning models and applications, especially in the context of Generative AI
Developing end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other NLP techniques
Working with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS to drive development
Collaborating closely with analytics and data teams and business stakeholders to align on requirements and objectives
Contributing both independently and in team settings, providing regular updates to stakeholders and delivering robust AI solutions

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