ML Engineer

Role Description

Do you possess an undoubtedly tech-savvy personality? Do you feel comfortable in a fast-paced, results-driven environment? Are you seeking an opportunity to demonstrate your strong analytical and problem-solving skills? Our client is a unique company that acquires entire teams of talent and IT assets from global organizations, MSPs, and datacenter operators. They need you ASAP! Apply today.

BetterPros unlocks human potential by offering competitive compensation, flexibility, constant learning and growth, and the opportunity to work anywhere you want with one of our +130 active clients across the United States.

What you will do:

• Develop and deploy:
  • Create cutting-edge machine learning models to address diverse business applications.
  • Deploy machine learning solutions that make a real impact on our products and services.
• Collaborate:
  • Work closely with data scientists to preprocess and clean large datasets for analysis.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems seamlessly.
• Optimize:
  • Implement and optimize machine learning algorithms to ensure performance and scalability.
  • Fine-tune models for enhanced accuracy and efficiency.
• Innovation:
  • Stay at the forefront of advancements in machine learning and artificial intelligence.
  • Explore new technologies and methodologies to enhance our machine learning capabilities.

Qualifications

• Proven experience in developing and deploying machine learning models.
• Excellent problem-solving and analytical skills.
• Effective communication skills to collaborate with cross-functional teams.

Requirements

• Programming Skills:
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Ability to write clean, efficient, and well-documented code.
  • C++.
• Frameworks:
  • Hands-on experience with popular machine learning frameworks, including TensorFlow, PyTorch, and scikit-learn.
  • Strong understanding of Jupyter Notebooks.
  • Understanding of Keras.
• Data Expertise:
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with best practices in handling large and complex datasets.
  • Ability to input data into unsupervised and supervised data sets for data training.
• Cloud and Distributed Computing:
  • Strong understanding of Microsoft Azure (DevOps).
  • Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing concepts.
  • Experience leveraging cloud resources for machine learning tasks.
• An advanced English level.

Benefits

• Competitive compensation.
• Flexibility.
• Constant learning and growth.
• Opportunity to work anywhere with one of our +130 active clients across the United States.

Company Description

We’ve got the opportunity, you’ve got the talent. We want to hear from you!