Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 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. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

This role will be responsible for Databricks Architecture, Designing and implementing best data practices.

Requirements

• Strong Experience in Data Architecture, specifically with Databricks Architecture.
• Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg.
• Strong MLOps & CI/CD Expertise
• Proficient in Python/Scala (Spark) for data governance, security, and enterprise data platform design.
• Databricks certifications and GenAI architecture experience preferred.

Key Responsibilities:

Being one of the most tech driven shipping companies, we are seeking an AI Specialist with expertise in Machine Learning and Large Language Models (LLMs) to join our Digital Transformation team. You will design and implement AI solutions, fine-tune models like GPT, and build intelligent systems that enhance business processes through automation and advanced analytics.

• Define AI strategies aligned with business goals (e.g., automation, prediction)
• Lead development and fine-tuning of ML/LLM models for industry-specific use cases
• Build full ML pipelines: preprocessing, training, evaluation, deployment
• Develop intelligent agents and autonomous AI workflows
• Monitor models for drift and optimize performance as needed
• Report on performance and recommend retraining or tuning
• Document solutions for smooth internal adoption
• Ensure compliance with data privacy and AI governance standards
• Stay updated on AI trends, tools, and best practices

Requirements

Tiger Analytics is looking for experienced Machine Learning Engineers 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.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 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. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

This role will be responsible for Architecture, Designing and implementing best data practices on the Azure platform.

Requirements

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.

Requirements

Details:

Tiger Analytics is fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and Big Data. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. We are working on building the best analytics consulting company in the world. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Role Overview

Tiger Analytics is seeking a detail-oriented and proactive Immigration and Global Mobility Coordinator to support global immigration processes and compliance activities. This role plays a critical part in ensuring smooth immigration case management and supports cross-functional teams including HR, Recruitment, and external legal counsel, across US, Canada, UK, and Spain.

Requirements

Key Responsibilities

·       Provide administrative support for immigration-related processes, including:

o   Letters of employment confirmation

o   Visa appointment instructions

o   LCA posting notices

o   Routine communication with stakeholders

·       Schedule immigration-related briefings and appointments with internal teams and external counsel.

·       Monitor I-9 re-verification processes to ensure compliance.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Senior Data Scientist - B2B based in Europe or Asia.

As a Senior Data Scientist, you will join a distributed team focused on unlocking insights that power data-driven decisions for B2B initiatives. You’ll work closely with other data scientists and engineers to explore user behavior, design impactful experiments, and develop strategic models that improve customer acquisition, retention, and product development. Your work will directly shape how professionals use digital tools at scale in a rapidly growing market segment. The team values autonomy, documentation, and async-first collaboration, with flexibility for remote work and timezone balance.

Accountabilities:

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Data QA is an important function within Zyte. The Data QA team works to ensure that the quality and usability of the data scraped by our web scrapers meets and exceeds the expectations of our enterprise clients. 

Are you passionate about data and data quality and integrity?

Do you enjoy using Python and AI to analyze and manipulate data, detect data quality issues, and visualize your findings?

Are you highly customer-focused with excellent attention to detail?

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer in US / Canada.

We are looking for a Senior Software Engineer to help build scalable, data-intensive applications that power mission-critical systems. In this role, you will work on designing ETL pipelines, building high-performance APIs, and transforming large volumes of raw data into impactful products. You’ll collaborate with cross-functional teams including data science, product, and engineering, and contribute to backend infrastructure and data platform initiatives. This role is ideal for engineers with strong backend and data engineering experience, a passion for performance and scalability, and a hands-on approach to building systems from the ground up.

Accountabilities:

·         Design and implement ETL pipelines capable of processing large-scale datasets efficiently.

·         Build and maintain robust APIs for data retrieval, including support for complex query types.

·         Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.

·         Transform raw data into structured, high-value data products to support business and operational decisions.