# Senior AI Engineer

**Company:** [Tiger Analytics Inc.](http://jobs.workable.com/companies/sJUKvzuwkZUks5P23HYp2P.md)
**Location:** Dallas, United States
**Workplace:** on site
**Employment type:** Full-time
**Department:** MLE

[Apply for this job](http://jobs.workable.com/view/beb45efe-f634-4410-8f11-0df02f7b8f07)

## Description

Tiger Analytics is seeking a highly skilled **Senior AI Engineer** to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions.

As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production.

The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems.

## Requirements

**Key Responsibilities:**

-   Design and implement AI algorithms and models to solve real-world problems.
-   Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions.
-   Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes.
-   Develop technical documentation as well as customer-facing documentation and presentations.
-   Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings.

**Qualifications:**

-   Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
-   5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production.
-   Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn.
-   Experience with cloud-based AI services such as AWS, Google Cloud, or Azure.
-   Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions.
-   Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders.

**Preferred Skills:**

-   Experience with natural language processing (NLP) or computer vision applications.
-   Knowledge of MLOps principles and tools.
-   Familiarity with version control systems (e.g., Git) and Agile methodologies.

## Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

  

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