ML Engineer

Apetan Consulting
United States
1 day ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Program Optimization Computer Programming Data Cleansing Python (Programming Language) Machine Learning Tensorflow SQL Databases Data Processing Feature Engineering Pytorch Model Validation
+3 more
Scikit Learn Information Technology Machine Learning Operations

Job description

  • Develop, train, and deploy machine learning models.
  • Prepare, clean, and analyze datasets for model development.
  • Implement machine learning algorithms for business and product use cases.
  • Evaluate model performance and improve accuracy, scalability, and reliability.
  • Develop reusable ML pipelines and integrate models into applications.
  • Monitor model performance and troubleshoot production issues.
  • Work with data scientists, software engineers, and product teams.
  • Perform feature engineering and model optimization.
  • Maintain ML code, documentation, and development processes.
  • Stay updated with emerging AI/ML techniques and tools.

Requirements

  • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Strong programming skills in Python.
  • Good knowledge of Machine Learning algorithms and statistics.
  • Experience with frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Strong understanding of data preprocessing, feature engineering, and model evaluation.
  • Experience with SQL and data manipulation.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer · World Congress 2021

Videos

See all

Related articles

See all