AI Engineer

Description

We are seeking an AI/ML Engineer to build, deploy, and scale machine learning models that drive real-world business solutions. This role focuses on taking models from development to production.

Key Responsibilities:

+ Design, build, and deploy machine learning models in production environments

+ Develop and manage data pipelines to support model training and inference

+ Collaborate with data scientists, engineers, and business stakeholders

+ Optimize model performance, scalability, and reliability

+ Monitor deployed models and continuously improve performance

+ Implement best practices for versioning, testing, and model lifecycle management

+ Work with large and complex datasets to extract meaningful insights

Requirements

Required Qualifications:

+ Strong programming experience in Python

+ Hands-on experience with ML frameworks (Tensor Flow, PyTorch, or similar)

+ Experience deploying ML models into production environments

+ Solid understanding of machine learning concepts and workflows

Preferred Qualifications:

+

Experience with cloud platforms (Azure ML, AWS Sage Maker, or similar)

+ Familiarity with big data tools (Databricks, Spark)

+

Experience with MLOps practices and tools

This role is ideal for someone who enjoys bridging the gap between data science and engineering, and bringing machine learning solutions into real-world applications.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit  for more information.

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