ML Engineer: Scalable AI & Production-Ready Models

Compunnel, Inc.; San Jose, Northern (CA, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Compunnel, Inc. is seeking an experienced Machine Learning Engineer in San Jose to lead development of ML/AI solutions for large-scale business applications.

You will design scalable data pipelines using PySpark, build production-grade models with TensorFlow or PyTorch, and translate complex business challenges into data-driven solutions. The role requires hands-on experience with AWS SageMaker, Scikit-Learn, and deep learning architectures such as CNN/RNN/LSTM, along with strong leadership and

Qualifications

• Strong Python programming experience.
• Hands-on PySpark experience.
• Experience with TensorFlow and/or PyTorch.
• Experience with Scikit-Learn.
• Experience with AWS cloud ML services and SageMaker.
• Strong analytical, problem-solving and leadership skills.

Responsibilities

• Lead the development of advanced ML and AI solutions.
• Design scalable data pipelines using PySpark.
• Develop, train, validate, and deploy production-grade ML models.
• Utilize TensorFlow and/or PyTorch for deep learning model development.
• Apply supervised and unsupervised learning techniques to business problems.
• Collaborate with data scientists, engineers, and stakeholders to drive ML initiatives.

Skills

Python

Technical leadership

Analytical thinking

Tools

PySpark

TensorFlow

PyTorch

Scikit-Learn

AWS

SageMaker

Job description

Compunnel, Inc. is seeking an experienced Machine Learning Engineer in San Jose to lead development of ML/AI solutions for large-scale business applications.

You will design scalable data pipelines using PySpark, build production-grade models with TensorFlow or PyTorch, and translate complex business challenges into data-driven solutions. The role requires hands-on experience with AWS SageMaker, Scikit-Learn, and deep learning architectures such as CNN/RNN/LSTM, along with strong leadership and