ML Software Engineer Jobs at Tiger Analytics with Visa Sponsorship
Tiger Analytics hires ML Software Engineers to build and deploy machine learning systems across data-intensive client engagements. The company has a consistent record of sponsoring work visas for this function, supporting candidates through H-1B, OPT, and immigrant visa pathways at the ML engineering level.
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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 37+ ML Software Engineer at Tiger Analytics jobs
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Get Access To All JobsTips for Finding ML Software Engineer Jobs at Tiger Analytics Jobs
Align your ML portfolio to client-facing work
Tiger Analytics delivers analytics solutions for enterprise clients, so frame your projects around deployed models, production pipelines, and measurable business outcomes rather than academic benchmarks. Interviewers assess whether your work translates to real client environments.
Verify your OPT STEM extension eligibility early
Tiger Analytics is E-Verify enrolled, which is required for the 24-month STEM OPT extension. Confirm your degree qualifies under the STEM Designated Degree Program List before your first OPT period expires so there is no gap in authorization.
Target roles that align with H-1B specialty occupation criteria
For H-1B sponsorship, your ML Software Engineer role must require a specific bachelor's degree field. Roles involving model development, MLOps, or data engineering within a defined technical scope have a clearer path than generalist positions when USCIS evaluates specialty occupation status.
Ask explicitly about the PERM timeline during offers
If you are on H-1B and targeting a Green Card, ask the recruiter whether Tiger Analytics initiates PERM labor certification concurrently with H-1B approval. Starting the EB-2 or EB-3 process early matters significantly if you are from a backlogged country like India.
Use Migrate Mate to filter open ML roles by sponsorship type
Not every open ML Software Engineer posting at Tiger Analytics actively reflects current sponsorship availability. Search Migrate Mate to filter roles by visa type so you apply to positions where H-1B, OPT, or TN sponsorship is confirmed for this function.
Prepare for technical screening before discussing visa logistics
Tiger Analytics runs structured technical assessments covering ML fundamentals, system design, and Python or SQL proficiency before compensation or sponsorship conversations happen. Clear the technical screen first; raise visa timeline questions with the recruiter afterward.
ML Software Engineer at Tiger Analytics jobs are hiring across the US. Find yours.
Find ML Software Engineer at Tiger Analytics JobsFrequently Asked Questions
Does Tiger Analytics sponsor H-1B visas for ML Software Engineers?
Yes, Tiger Analytics sponsors H-1B visas for ML Software Engineers. The company has an established pattern of filing H-1B petitions for technical roles in machine learning and data engineering. If you are currently on F-1 OPT, the company is E-Verify enrolled, which also makes you eligible for the 24-month STEM OPT extension while an H-1B petition is pending.
How do I apply for ML Software Engineer jobs at Tiger Analytics?
Apply directly through Tiger Analytics's careers page or use Migrate Mate to browse currently open ML Software Engineer positions filtered by visa sponsorship type. Before applying, tailor your resume to highlight deployed ML systems and production experience, since Tiger Analytics evaluates candidates on client-ready technical skills. Expect a multi-stage process including a technical screen, coding assessment, and system design interview.
Which visa types does Tiger Analytics commonly use for ML Software Engineers?
Tiger Analytics sponsors H-1B visas as the primary long-term work authorization path for ML Software Engineers. The company also supports F-1 OPT and F-1 CPT for students and recent graduates, TN visas for Canadian and Mexican nationals in qualifying engineering roles, and EB-2 or EB-3 immigrant visa petitions for employees pursuing permanent residence.
What qualifications does Tiger Analytics expect for ML Software Engineer roles?
Tiger Analytics targets candidates with a bachelor's or master's degree in computer science, statistics, or a closely related field. Practical experience with Python, scikit-learn, TensorFlow or PyTorch, and cloud platforms such as AWS or Azure is expected. Roles typically require demonstrated experience building end-to-end ML pipelines, not just model prototyping, since the work involves delivery within live client environments.
How do I time my application if my OPT expires soon?
If your OPT has less than six months remaining, apply now and be transparent with the recruiter about your authorization end date. Tiger Analytics files H-1B petitions in the April cap season with an October 1 start date. If your OPT expires before October, confirm with your DSO whether a cap-gap extension under USCIS rules covers the gap between April filing and the October effective date.
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