Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, AgreeYa Solutions, is seeking talented individuals. Apply via Dice today!

Key Responsibilities

• Serve as a member of the factory software machine learning and computer vision team.
• Design, develop, and implement critical machine learning models for factory and warehouse environments.
• Tackle ambiguous problem statements and build end-to-end models using techniques like supervised learning, convolutional neural networks, etc.
• Utilize tools such as Pytorch, Pandas, and others.
• Collaborate closely with partners in production, process, controls, and quality to build solutions for operational challenges.
• Own models in production and ensure proper alerting systems are in place for rapid issue resolution.
• Handle diverse and heterogeneous datasets, including images, multi-spectral sensors, voice, text, and tabular data.

Minimum Requirements

• In-depth knowledge of Python for high-performance data applications.
• Familiarity with at least one deep learning framework: Pytorch, Jax, Tensorflow, etc.
• Expertise in areas such as computer vision, large language models, recommender systems, or operations research.
• Basic understanding of statistics for model comparison and performance assessment.
• Experience deploying and maintaining production machine learning use-cases.
• Passion for clean, modular, and sustainable coding practices.

Job Highlights

• Qualifications:
  • Python for data-intensive applications
  • Deep learning frameworks: Pytorch, Jax, Tensorflow
  • Specializations: Computer vision, Language models, Recommender systems, Operations research
  • Statistics for model evaluation
  • Deployment and maintenance of ML models
  • Clean code for production
• Responsibilities:
  • Participate in ML and computer vision team
  • Build models for factory and warehouse
  • Solving complex operational problems
  • Ownership of models in production with proper alerting
  • Manage diverse datasets with various modalities

Job Highlights

Qualifications

• In-depth knowledge of Python for high-performance data applications
• Familiarity with at least one deep learning framework: Pytorch, Jax, Tensorflow
• Expertise in areas like computer vision, large language models, recommender systems, or operations research
• Foundational knowledge of statistics for model comparison and evaluation
• Real-world experience in production deployment of machine learning models
• Passion for clean, modular, sustainable code

Responsibilities

• Contribute to the factory software ML and computer vision team
• Design and develop ML models for factory and warehouse environments
• Address ambiguous problems with end-to-end solutions
• Work closely with production, controls, quality teams
• Manage models in production with alerting and monitoring systems
• Handle heterogeneous datasets including images, sensors, voice, text, and tabular data