Senior AI Engineer
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 2 October 2026.
About the role
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.
#LI-remote
What this role asks for
Particular to this role
Agile · Computer Vision · Git · NLP · TensorFlow · scikit-learn
Rare in Tiger Analytics Inc.'s other 101 open postings.
Standard for data science / ML roles
PyTorch
Common in data science / ML postings at any company.
In most of Tiger Analytics Inc.'s ads
Machine Learning · Python
Named in most of its open postings, whatever the role.
Read against Tiger Analytics Inc.'s other open postings on this site.
The team: MLE HIRES STEADILY
This role is one of 26 open in MLE. 4 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (24 of 26), Python (23 of 26), AWS (17 of 26), Generative AI (17 of 26), LLM (15 of 26), GCP (14 of 26), LangChain (14 of 26)
OTHER ROLES ON THIS TEAM
- UI Path + Azure AI Engineers posted Oct 8
- Forward Deployed Engineer (FDE) - GenAI / Agentic AI posted Oct 5
- Forward Deployed Engineer (FDE) - GenAI / Agentic AI posted Sep 30
- Lead AI Architect & Delivery Manager posted Sep 29
- Forward Deployed AI Engineer -Neo4j / Knowledge Graph posted Sep 1
- MLOps Lead Engineer posted Aug 26
- Forward Deployed Engineer (Generative AI) posted Aug 25
- Lead AI Engineer posted Aug 4
- Forward Deployed Engineer (Generative AI) posted Jul 14
- AI and Integration Architect posted Jun 19
- Forward Deployed Engineer (Generative AI) posted May 18
- Full Stack Gen AI Engineer posted Feb 11
- Generative AI Leader/Architect posted Jan 26
- GenAI Engineer posted Jan 19
- GenAI Architect posted Jan 19
- Machine Learning Engineer posted Dec 9
- Machine Learning Engineer (with Vertex AI Experience) posted Nov 20
- Senior Agentic AI Engineer posted Oct 28
- Senior Machine Learning Engineer (GCP) posted Aug 1
- Machine Learning Architect posted Jul 3
- Databricks Architect posted Jun 24
- Gen AI Data Engineer posted Apr 14
- ML Ops Architect posted Mar 4
- MLOps Engineer(NJ) posted Oct 26
- Machine Learning Engineer (Canada) posted Sep 12
From the team and dates on Tiger Analytics Inc.'s own job board.
Salary context
33 other open postings titled Senior AI Engineer state a salary: median USD 160,000 to USD 195,050 a year.
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