Tiger Analytics is looking for experienced Machine Learning Engineers 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.

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 MLE solutions
• Creating Scalable Machine Learning systems .
• 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

MLE Skillsets needed:

•          Good exposure to Model development and deployment

•          Experience developing API’s

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.

Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!

What You'll Do:

• Collaborate with cross-functional teams to design and deploy ML models.
  
• Develop reusable, scalable code for AI/ML applications.
  
• Leverage GCP services to build end-to-end machine learning pipelines.
  
• Optimize models for performance and scalability using Vertex AI.

Requirements

Key Requirements:

AHOY is seeking a talented AI Engineer to join our innovative team dedicated to pushing the boundaries of artificial intelligence technology. In this role, you will develop and implement AI models and algorithms that enhance our products and services. You will be a critical player in designing solutions that optimize operations, improve user experience, and drive business results.

Key Responsibilities:

• Design and develop AI-based applications including machine learning models, natural language processing tools, and predictive analytics solutions.
• Implement algorithms and models to improve performance and scalability across various platforms.
• Collaborate with data analysts and software engineers to gather requirements and translate business needs into technical specifications.
• Analyze large datasets to derive actionable insights and enhance existing AI models.
• Conduct research on advanced AI algorithms and technologies, evaluating their applicability to current projects.
• Document processes, methodologies, and technical specifications to facilitate knowledge sharing within the team.
• Monitor model performance and iterate on design based on real-world feedback and data.

Requirements

Qualifications:

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 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.

Requirements

Responsibilities:

• Building and deploying scalable machine learning models using MLE and ML OPs frameworks
• Developing interactive web applications and dashboards to present data-driven insights to stakeholders
• Collaborating with cross-functional teams, including software developers and business stakeholders, to understand requirements and deliver impactful solutions
• Providing consulting services to help the organization make data-driven decisions.

Qualifications: