Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.
Tiger Analytics is looking for an experienced Principal Data Scientist 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:
Tiger Analytics is looking for experienced Senior Data Scientists to join our 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 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.
As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
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.
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:
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
InfyStrat is seeking an experienced AI Platform Architect to join our innovative team. In this role, you will be responsible for the design, architecture, and implementation of AI platforms that drive data analysis and machine learning initiatives across our organization. You will work closely with data scientists, engineers, and business stakeholders to define AI strategies and ensure the successful deployment of AI solutions. The ideal candidate will have a strong background in AI technologies, cloud computing, and data architecture. We value creativity, strategic thinking, and a passion for pushing the boundaries of what technology can achieve. If you are looking to make a significant impact through AI and data-driven solutions, we invite you to apply.
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 an AI Director in Spain.
This is a unique leadership opportunity to establish and shape a company’s AI strategy from the ground up. As the AI Director, you will define a transformative vision for leveraging artificial intelligence across all areas of the business—from internal processes to customer-facing solutions. You’ll build and lead a high-performing team of AI specialists, drive innovation through research and experimentation, and ensure scalable, ethical, and effective deployment of AI technologies. The role requires both deep technical knowledge and strong strategic thinking, combined with a hands-on leadership approach.
Accountabilities:
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 - Data Engineering in India.
This role offers an exciting opportunity for a seasoned data engineer to design, build, and optimize robust, scalable data pipelines that support AI-driven analytics and large-scale data processing. You’ll work with technologies such as Apache Spark, Kafka, and Databricks to develop real-time and batch solutions, integrate machine learning models, and contribute to the company’s growing data infrastructure. Collaboration with cross-functional teams including data science and product engineering will be key as you build systems that drive innovation and performance across a global user base.
Accountabilities:
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 Data Scientist - II in United States.
This is a high-impact role for a data scientist with experience in computer vision and deep learning. As part of a cutting-edge AI/ML team, you’ll design and optimize models that power identity verification and fraud prevention systems. You’ll work hands-on with CNNs, transformers, and potentially multimodal LLM architectures to create models that go into production and drive real-world outcomes. You’ll also collaborate closely with engineers and senior scientists to build scalable pipelines and experiment with the latest advancements in the field. This position offers the chance to grow as a technical contributor while tackling meaningful machine learning challenges.
Accountabilities:
