Senior Machine Learning Engineer

Sorry, this job was removed at 03:20 p.m. (CST) on Thursday, Jan 30, 2025
Hiring Remotely in United States
Remote
Cloud • Information Technology • Machine Learning • Mobile
The Role

Description

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 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
Requirements

What We’re Looking For:

  • 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

Nice to Have:

  • Experience building end-to-end applications with LLMs and user-facing projects
  •  Knowledge of NLP techniques and experience with Generative AI
  •   Strong problem-solving abilities, excellent communication skills, and the ability to work effectively with minimal guidance in a fully remote environment



The Company
HQ: Fremont, CA
232 Employees
On-site Workplace

What We Do

We believe that constant innovation is key to staying relevant and competitive. We exist to guide innovative companies like yours throughout the transformation journey and beyond, making your organization future-proof and future-ready.

Our work spans the breadth of your enterprise — from customers to employees and operations. We simplify and optimize internal and external processes and strengthen your business potential.

We don’t use a cookie-cutter approach. Before we offer solutions, we actively listen to your questions and concerns. We conscientiously evaluate your current environment, processes, and challenges to ensure we provide you with the right mix of solutions and services.
We are uniquely focused on delivering rapid business growth through services and technology solutions that evolve how our clients interact with their customers, employees and partners. We leverage best of breed Mobile, Machine Learning, and Cloud platforms to deliver results. Fast.

With over 200 highly motivated people in 5 countries, we bring a refreshingly honest, personal and effective approach to making things happen.

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