Senior AI Engineer

Tiger Analytics; Jersey City (NJ); Remote; USD 130,000 - 180,000; Full time

Job summary

Tiger Analytics is seeking a Senior AI Engineer to design, develop, and deploy state-of-the-art AI solutions that deliver measurable business impact. You will work with cross-functional teams to define requirements, metrics, and success criteria while ensuring production readiness of AI models.

Ideal candidates bring 5+ years in AI/ML, strong Python skills, and experience with TensorFlow, PyTorch, and Scikit-learn, plus cloud services like AWS, Google Cloud, or Azure.

Qualifications

• Master's or PhD in Computer Science, ML, AI or related field.
• 5+ years of AI/ML development with production deployment experience.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with cloud services (AWS, Google Cloud, Azure).
• Strong ability to translate business requirements into technical solutions.

Responsibilities

• Design and implement AI algorithms and models to solve real-world problems.
• Collaborate with data scientists, data engineers, and business analysts to define requirements and propose AI solutions.
• Monitor performance of AI models in production and iterate to improve outcomes.
• Develop technical and customer-facing documentation and presentations.
• Stay updated with AI research and trends to enhance offerings.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Cloud computing

Communication

Problem solving

Education

Master's or PhD in Computer Science / ML / AI

Tools

Git

Docker

MLOps

CI/CD

Job 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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