Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Accellor, a trusted consulting partner specializing in Cloud technology solutions, is seeking a Senior Machine Learning Engineer to join their team. This role presents an exciting opportunity to work on cutting-edge AI applications, particularly in Generative AI and Large Language Models (LLMs).
The position offers a unique blend of technical challenges and innovative development, focusing on scaling machine learning systems and building user-facing applications. As part of Accellor's collaborative environment, you'll work on projects like AI-powered quizzes while contributing to the company's growing AI capabilities.
The ideal candidate will bring strong Python programming skills, experience with machine learning frameworks, and proficiency in cloud platforms, particularly AWS. You'll work with modern tools like Databricks, Langchain, PySpark, and Airflow, developing end-to-end applications using advanced NLP techniques and Retrieval-Augmented Generation (RAG).
Accellor provides an atmosphere that encourages curiosity and continuous learning, offering the freedom to explore and grow professionally. The company values collaboration while providing autonomy, making it an ideal environment for passionate engineers who take pride in their work and want to make a significant impact in the AI space.
Working remotely, you'll have the opportunity to contribute to projects across various industries, including Financial, Retail, High Tech, and Healthcare verticals, while being part of a team that values innovation and technical excellence. This role is perfect for someone who combines technical expertise with strong communication skills and can work effectively with minimal guidance in a remote setting.
Responsibilities For Senior Machine Learning Engineer
- Building, deploying, and scaling machine learning models and applications, especially in Generative AI
- Developing end-to-end applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and NLP techniques
- Working with Python, Databricks, Langchain, PySpark, Airflow, Jenkins, and AWS
- Collaborating with analytics and data teams and business stakeholders
- Contributing independently and in team settings, providing regular updates
Requirements For Senior Machine Learning Engineer
- Strong software engineering skills, particularly in Python
- Experience with Databricks, PySpark, and Airflow
- Familiarity with LLMs, RAG, Langchain, and developing AI applications
- Proficiency in AWS and cloud platform deployment
- Solid understanding of database schema design and querying
- Bachelor's degree in Computer Science
- Experience building end-to-end applications with LLMs (preferred)
- Knowledge of NLP techniques and Generative AI (preferred)
- Strong problem-solving and communication skills
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