AI ML Engineering Jobs at Tiger Analytics with Visa Sponsorship
AI ML Engineering jobs at Tiger Analytics involve building and deploying machine learning solutions across analytics-driven client engagements. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, OPT, and green card pathways as part of its standard hiring practice.
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Get Access To All JobsINTRODUCTION
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce.
We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.
KEY RESPONSIBILITIES:
Business Development & Growth:
- Identify and pursue new business opportunities in the AI & ML space.
- Develop and execute strategies to expand our client base and market presence.
- Build and maintain strong relationships with key stakeholders and clients.
- Collaborate with sales and marketing teams to create compelling value propositions and proposals.
Technical Leadership:
- Lead the design, development, and deployment of enterprise-level data science solutions.
- Ensure solutions are scalable, robust, and aligned with business objectives.
- Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings.
- Mentor and guide a team of data scientists and engineers to achieve project goals.
Strategic Planning:
- Develop and implement a strategic roadmap for data science initiatives.
- Align data science projects with overall business strategy and client needs.
- Drive innovation and continuous improvement in data science methodologies and practices.
Client Engagement:
- Work closely with clients to understand their business challenges and requirements.
- Translate client needs into actionable data science solutions.
- Present findings, insights, and recommendations to clients in a clear and compelling manner.
REQUIREMENTS
- Advanced degree (Ph.D. or Master’s) in Data Science, Computer Science, Statistics, or a related field.
- 18 to 20 years of extensive experience in the Data Science and AI space.
- Proven experience in a leadership role within the AI & ML services industry.
- Strong track record of driving business development and growth initiatives.
- Extensive experience in developing and deploying enterprise-level data science solutions.
- Excellent communication and interpersonal skills.
- Ability to work collaboratively in a fast-paced, dynamic environment.
PREFERRED SKILLS:
- Experience with cloud platforms (AWS, Azure, Google Cloud).
- Proficiency in programming languages such as Python, R, and SQL.
- Familiarity with big data technologies (Hadoop, Spark).
- Strong analytical and problem-solving skills.
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.
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 pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce.
We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives from a technical perspective, designing strategy & supporting the execution of GTM efforts for our end-to-end enterprise-grade data science technology capabilities & solutions in AI, ML & AI Engineering across industries & domains. The ideal candidate will have a strong focus on delivering business outcomes for our customers using Data Science and possess a deep & fundamental understanding of DS methodologies and AI technology from experience in successfully delivering such business outcomes in their own careers.
KEY RESPONSIBILITIES:
Business Development & Growth:
- Identify and pursue new business opportunities in the AI & ML space.
- Develop and execute strategies to expand our client base and market presence.
- Build and maintain strong relationships with key stakeholders and clients.
- Collaborate with sales and marketing teams to create compelling value propositions and proposals.
Technical Leadership:
- Lead the design, development, and deployment of enterprise-level data science solutions.
- Ensure solutions are scalable, robust, and aligned with business objectives.
- Stay abreast of the latest advancements in AI & ML technologies and integrate them into our offerings.
- Mentor and guide a team of data scientists and engineers to achieve project goals.
Strategic Planning:
- Develop and implement a strategic roadmap for data science initiatives.
- Align data science projects with overall business strategy and client needs.
- Drive innovation and continuous improvement in data science methodologies and practices.
Client Engagement:
- Work closely with clients to understand their business challenges and requirements.
- Translate client needs into actionable data science solutions.
- Present findings, insights, and recommendations to clients in a clear and compelling manner.
REQUIREMENTS
- Advanced degree (Ph.D. or Master’s) in Data Science, Computer Science, Statistics, or a related field.
- 18 to 20 years of extensive experience in the Data Science and AI space.
- Proven experience in a leadership role within the AI & ML services industry.
- Strong track record of driving business development and growth initiatives.
- Extensive experience in developing and deploying enterprise-level data science solutions.
- Excellent communication and interpersonal skills.
- Ability to work collaboratively in a fast-paced, dynamic environment.
PREFERRED SKILLS:
- Experience with cloud platforms (AWS, Azure, Google Cloud).
- Proficiency in programming languages such as Python, R, and SQL.
- Familiarity with big data technologies (Hadoop, Spark).
- Strong analytical and problem-solving skills.
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.
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 AI ML Engineering Jobs at Tiger Analytics
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Get Access To All JobsTips for Finding AI ML Engineering Jobs at Tiger Analytics
Align your ML portfolio to client-facing work
Tiger Analytics delivers analytics solutions to enterprise clients, so projects demonstrating end-to-end ML pipelines, model deployment, or business impact land better than academic experiments. Frame your portfolio around measurable outcomes, not just model accuracy metrics.
Verify your OPT timing before applying
If you're on F-1 OPT, confirm your remaining authorization window covers the typical interview-to-offer timeline. Tiger Analytics hires for CPT and OPT, but a cap-gap gap between OPT expiry and H-1B activation can complicate your start date.
Target roles with STEM OPT extension eligibility
AI ML Engineering falls under qualifying STEM fields, giving F-1 graduates up to 36 months of OPT work authorization. Confirm your degree CIP code supports the extension before negotiating a start date with Tiger Analytics' recruiting team.
Browse Tiger Analytics openings through Migrate Mate
Use Migrate Mate to filter AI ML Engineering roles at Tiger Analytics by visa type, so you only spend time on positions actively open to your sponsorship situation. It removes the guesswork of which postings actually support H-1B or OPT candidates.
Prepare for PERM labor market documentation early
Tiger Analytics sponsors EB-2 and EB-3 green cards, which require DOL PERM certification. If you're targeting permanent residence, ask your recruiter upfront about the company's standard timeline for initiating PERM after H-1B approval to plan your multi-year career path.
Clarify specialty occupation alignment during offer negotiation
USCIS scrutinizes H-1B petitions for consulting firms by examining whether the specific role qualifies as a specialty occupation. Before signing, confirm your offer letter specifies a defined ML or engineering function tied to a degree requirement, not a generalist consulting title.
Frequently Asked Questions
Does Tiger Analytics sponsor H-1B visas for AI ML Engineers?
Yes, Tiger Analytics sponsors H-1B visas for AI ML Engineering roles. As an analytics and technology firm, the company regularly files H-1B petitions for qualifying positions. Because Tiger Analytics operates as a consulting organization, your offer letter should clearly tie your role to a specific ML function and degree requirement to support the specialty occupation determination USCIS requires.
How do I apply for AI ML Engineering jobs at Tiger Analytics?
Apply directly through Tiger Analytics' careers page or use Migrate Mate to browse their open AI ML Engineering positions filtered by visa sponsorship type. Tailor your resume to highlight applied ML work, deployment experience, and any client-facing analytics projects. Consulting firms like Tiger Analytics move quickly through technical screens, so having a prepared coding and case-based interview set ready shortens your timeline.
Which visa types does Tiger Analytics commonly use for AI ML Engineering roles?
Tiger Analytics sponsors H-1B, F-1 OPT, F-1 CPT, TN visa, and employment-based Green Card pathways including EB-2 and EB-3 for AI ML Engineering positions. OPT and CPT are common entry points for recent graduates, with H-1B sponsorship following for longer-term employment. TN visa is available to Canadian and Mexican nationals in qualifying engineering classifications.
What qualifications does Tiger Analytics expect for AI ML Engineering roles?
Tiger Analytics typically hires candidates with a bachelor's or master's degree in computer science, statistics, or a related quantitative field. Hands-on experience with Python, ML frameworks like TensorFlow or PyTorch, and cloud deployment on AWS, Azure, or GCP is expected. Client-facing analytics experience or industry domain knowledge in areas like financial services, retail, or healthcare strengthens your profile significantly.
How do I plan my timeline if I need H-1B sponsorship at Tiger Analytics?
The H-1B cap lottery opens each March for an October 1 start date, so offers typically need to be in place before April registration closes. If you're on OPT, a cap-gap provision through USCIS can bridge the period between OPT expiry and H-1B activation. Start conversations with Tiger Analytics' recruiting team at least four to six months before your current authorization expires to align timelines.