AI ML Engineer Jobs at Tiger Analytics with Visa Sponsorship
Tiger Analytics hires AI ML Engineers to work across data science, machine learning infrastructure, and advanced analytics in client-facing and internal roles. The company has a consistent track record of sponsoring work visas for this function, supporting candidates from F-1 OPT through H-1B and permanent residency pathways.
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Get Access To All JobsINTRODUCTION
Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
ROLE AND RESPONSIBILITIES:
- Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS)
- Integrate LLM and Generative AI APIs using providers such as AWS Bedrock, OpenAI, and others
- Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem
- Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems
- (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities
- Develop and maintain JSON RESTful APIs, adhering to OpenAI API conventions and best practices
BASIC QUALIFICATIONS:
- 5+ years of hands-on software development experience with Python
- Proven expertise in FastAPI and microservice architecture
- Strong understanding of cloud-native applications, container orchestration (ECS, Docker), and AWS tools
- Proficiency in LLM API integration and working with Generative AI frameworks
- Experience implementing CI/CD, IaC, and ML pipelines across AWS environments
- Familiarity with Bedrock AgentCore or other agentic systems (nice to have)
PREFERRED QUALIFICATIONS:
You'll be part of an innovative team building the next generation of AI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment.
BENEFITS
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
INTRODUCTION
Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
ROLE AND RESPONSIBILITIES:
- Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS)
- Integrate LLM and Generative AI APIs using providers such as AWS Bedrock, OpenAI, and others
- Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem
- Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems
- (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities
- Develop and maintain JSON RESTful APIs, adhering to OpenAI API conventions and best practices
BASIC QUALIFICATIONS:
- 5+ years of hands-on software development experience with Python
- Proven expertise in FastAPI and microservice architecture
- Strong understanding of cloud-native applications, container orchestration (ECS, Docker), and AWS tools
- Proficiency in LLM API integration and working with Generative AI frameworks
- Experience implementing CI/CD, IaC, and ML pipelines across AWS environments
- Familiarity with Bedrock AgentCore or other agentic systems (nice to have)
PREFERRED QUALIFICATIONS:
You'll be part of an innovative team building the next generation of AI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment.
BENEFITS
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
See all 40+ AI ML Engineer at Tiger Analytics jobs
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Get Access To All JobsTips for Finding AI ML Engineer Jobs at Tiger Analytics Jobs
Align your ML portfolio to analytics consulting
Tiger Analytics serves enterprise clients across insurance, retail, and CPG. Projects demonstrating end-to-end ML pipelines, model deployment, and measurable business impact will resonate more than academic research samples alone.
Confirm OPT STEM extension eligibility early
AI ML Engineer roles at Tiger Analytics fall under CIP codes that qualify for the 24-month STEM OPT extension. Verify your degree program is on the STEM Designated Degree Program List before your initial OPT expires to avoid a gap in work authorization.
Target Tiger Analytics roles through Migrate Mate
Filter open AI ML Engineer positions at Tiger Analytics by visa type on Migrate Mate to surface roles that match your current status, whether you're on OPT, CPT, or TN authorization, before applying directly.
Prepare credential documentation for specialty occupation review
USCIS scrutinizes AI ML Engineer petitions at consulting firms. Have your degree transcripts, a role-specific job description tying duties to your field of study, and any advanced coursework in machine learning or statistics ready before the offer stage.
AI ML Engineer at Tiger Analytics jobs are hiring across the US. Find yours.
Find AI ML Engineer at Tiger Analytics JobsFrequently Asked Questions
Does Tiger Analytics sponsor H-1B visas for AI ML Engineers?
Yes, Tiger Analytics sponsors H-1B visas for AI ML Engineers. The company participates in the annual H-1B cap lottery each April for an October 1 start. If you're already on H-1B with another employer, Tiger Analytics can file an H-1B transfer petition year-round, which lets you begin work as soon as USCIS receives the petition.
How do I apply for AI ML Engineer jobs at Tiger Analytics?
Applications go through Tiger Analytics's careers page or platforms like Migrate Mate, where you can filter AI ML Engineer openings by visa sponsorship type. Prepare a portfolio that highlights deployed ML models and client-facing analytics work, as Tiger Analytics emphasizes applied problem-solving over theoretical backgrounds in its screening process.
Which visa types does Tiger Analytics commonly use for AI ML Engineer roles?
Tiger Analytics sponsors H-1B, F-1 OPT, F-1 CPT, TN, and employment-based Green Cards including EB-2 and EB-3 for AI ML Engineers. OPT and CPT are common entry points for recent graduates, while H-1B is the standard long-term work authorization path. TN visas apply to Canadian and Mexican nationals in qualifying occupational categories.
What qualifications does Tiger Analytics expect for AI ML Engineer candidates?
Tiger Analytics typically looks for a bachelor's or master's degree in computer science, statistics, applied mathematics, or a closely related field. Hands-on experience with Python, model training and evaluation, and cloud-based deployment is expected. Consulting context helps, so experience working with structured business problems and communicating findings to non-technical stakeholders strengthens your profile significantly.
How long does the visa sponsorship process take for an AI ML Engineer at Tiger Analytics?
Timeline depends on the visa type. H-1B cap petitions filed in April have an October 1 start date, a roughly six-month gap. H-1B transfers process in 30 to 90 days under standard service, or 15 business days with USCIS premium processing. PERM labor certification for Green Card sponsorship typically runs 12 to 18 months before the I-140 petition stage begins.
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