aimlroles

Senior AI Engineer

Tiger Analytics Inc. Open · verified Oct 22, 2026
On-site Jersey City Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at Tiger Analytics Inc. Jersey City · full-time · no salary stated · we estimate $161,745–$225,300 across the United States.

Estimated pay

Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.

$161,745 – $225,300
What the middle half of senior AI engineering roles in the United States paid, among postings that did state a salary.
Worked out from 435 postings that stated pay, median $195,000. Last updated Oct 22, 2026.
RoleAI Engineering
SenioritySenior
LocationJersey City
WorkplaceOn-site
EmploymentFull-time
PostedAug 5, 2025 · 1y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Create AI models and algorithms for real-world challenges, shaping the approach around each project's requirements
  • Turn project needs into AI proposals alongside data scientists, data engineers and business analysts
  • Review production model performance and adjust models to improve results
  • Write technical and customer-facing documentation, then present the work
  • Keep up with AI research and recommend ideas for improving solutions

What you bring

  • A master's or PhD in computer science, machine learning, AI or a related field
  • At least five years building AI or ML systems, including models successfully deployed to production
  • Python proficiency and familiarity with TensorFlow, PyTorch and Scikit-learn
  • Hands-on experience with AWS, Google Cloud or another listed cloud AI service
  • You can turn business requirements into technical solutions and explain complex concepts to nontechnical audiences

Who this fits

This senior, full-time role is onsite in Jersey City. It suits an experienced AI/ML engineer who has deployed models to production and can work across technical and business teams.

From the employer

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.