Machine Learning Engineer (Google Cloud Platform)

About The Company

Tiger Analytics is a leading advanced analytics consulting firm renowned for its expertise in Data Science, Machine Learning, and Artificial Intelligence. Serving a diverse portfolio of Fortune 100 clients, we empower organizations to unlock the full potential of their data and generate measurable business value. Our team of highly skilled consultants brings deep technical knowledge and innovative solutions to complex data challenges. Recognized by industry research firms such as Forrester and Gartner, Tiger Analytics is committed to delivering excellence and driving digital transformation across various industries.

About The Role

We are seeking a talented Machine Learning Engineer with a strong background in Google Cloud Platform (GCP) and Vertex AI to join our dynamic team. This fully remote, onshore position offers an exciting opportunity to work on building and deploying scalable AI solutions for leading organizations. The ideal candidate will collaborate with cross-functional teams to design, develop, and operationalize machine learning models that deliver impactful business insights. You will leverage GCP services to create end-to-end machine learning pipelines, optimize models for performance, and ensure seamless deployment through robust APIs. This role provides a platform to work with cutting-edge Google Cloud technologies, contribute to innovative projects, and advance your career in AI/ML engineering.

Qualifications

• Proven experience with Google Cloud Platform (GCP) services, including data engineering and machine learning tools
• Hands-on expertise with Google Vertex AI for model training, deployment, and optimization
• Strong background in designing, building, and deploying machine learning models in production environments
• Proficiency in developing APIs for seamless integration of AI/ML solutions
• Extensive experience in Python programming, including implementing CI/CD pipelines
• Excellent problem-solving skills and the ability to work collaboratively in a remote team setting
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field is preferred
  
  

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and translate them into scalable ML solutions
• Develop reusable and efficient code for AI/ML applications, ensuring maintainability and performance
• Leverage GCP services to build, train, and deploy machine learning models within Vertex AI
• Optimize models for scalability, accuracy, and performance to meet business objectives
• Design and implement end-to-end machine learning pipelines using GCP tools and services
• Develop robust APIs to facilitate integration of models into client systems and applications
• Implement CI/CD pipelines to streamline model deployment and updates
• Monitor and troubleshoot deployed models, making improvements as necessary
• Stay updated with the latest advancements in GCP and AI/ML technologies to continuously enhance solutions
  
  

Benefits

• Opportunities for significant career growth as the company expands
• Work remotely while engaging in innovative and impactful projects
• Collaborate with a passionate team dedicated to AI/ML innovation
• Access to the latest Google Cloud technologies and tools
• Challenging and entrepreneurial work environment that encourages professional development
• High degree of individual responsibility and ownership of projects
  
  

Equal Opportunity

Tiger Analytics is committed to fostering an inclusive and diverse workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, disability, or any other protected status. We believe diversity drives innovation and are dedicated to creating a welcoming environment for everyone.