Job Description:

Our client, a leading provider of GTM solutions for revenue teams at businesses of all sizes, is seeking a talented Machine Learning Engineer III to join their team. As part of the machine learning and data sciences team, you will be responsible for working on machine recognition, prediction, and information processing systems and platforms to organize and extract valuable insights at scale from rich and diverse datasets gathered from various sources.

Team Values:

• Take pride in contributions.
• Support fellow team members.
• Optimize what matters.
• Execute with principles.

Responsibilities:

• Implement, productionize, deploy, integrate, and monitor ML models and automated pipelines.
• Collaborate with data scientists to review and optimize technical designs and solutions.
• Design and review machine learning and data processing code for scalability and robustness.
• Collaborate with product, engineering, and devops teams to deliver ML and LLM solutions end-to-end.
• Design and implement infrastructure, tools, utilities, and automated workflows.
• Implement ML platform capabilities to streamline all phases of data-centric innovation.
• Drive adoption of the ML platform and strive for operational excellence.

Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering, or related fields, with 5+ years of experience working with ML models and deploying them into production.
• Proficiency in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, or other big data systems.
• Hands-on experience scaling and deploying data science solutions.
• Experience with deep learning frameworks such as PyTorch, Tensorflow, HuggingFace.
• Familiarity with LLMs, Scala, Ray, Kubernetes, or Airflow is a plus.
• Data-centric mindset with a willingness to validate results.
• Strong communication skills and ability to coordinate complex project execution with cross-functional teams.

The compensation for this position ranges from $139,200.00 to $200,100.00 annually, along with bonus, equity, and benefits. Actual compensation will be based on factors such as qualifications, skills, experience, and location.

Our client is committed to providing comprehensive benefits and holistic mind, body, and lifestyle programs designed for overall well-being.

About the Company:

Our client is a trusted go-to-market platform for businesses to find, acquire, and grow their customers. They deliver accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. They are proud to be an Equal Opportunity employer and are committed to equal employment opportunities for all qualified candidates.