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Benefits offered by this job
Exposure to Fortune 500 companies
Work with cutting-edge AI technologies
Dynamic team environment
Job summary
A global AI and Big Data solutions firm is seeking a skilled Machine Learning Engineer. The role involves designing, training, and deploying ML models using Google Cloud tools, particularly Document AI and Vertex AI. Candidates should hold a relevant degree and possess solid experience in ML development, Python, and API integration. A collaborative environment awaits where you can innovate and excel in your career, supporting top-tier clients worldwide.
Qualifications
Bachelor’s or Master’s degree in relevant field or equivalent practical experience.
Proven experience with custom Document AI and pre-trained processors.
Hands-on experience with Google Cloud Vertex AI.
Strong understanding of Large Language Models and fine-tuning.
Experience in model design, training, testing, and evaluation.
Responsibilities
Design, develop, and fine-tune machine learning models.
Integrate ML models into production systems via APIs.
Evaluate model performance and optimize for efficiency.
Collaborate with cross-functional teams for seamless delivery.
Skills
Expertise in Google Cloud AI tools
Machine Learning model development
End-to-end deployment
Proficiency in Python
Understanding of API integration
Troubleshooting and debugging
Education
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning
Tools
Google Cloud Document AI
Google Cloud Vertex AI
TensorFlow
PyTorch
scikit-learn
Job description
A global AI and Big Data solutions firm is seeking a skilled Machine Learning Engineer. The role involves designing, training, and deploying ML models using Google Cloud tools, particularly Document AI and Vertex AI. Candidates should hold a relevant degree and possess solid experience in ML development, Python, and API integration. A collaborative environment awaits where you can innovate and excel in your career, supporting top-tier clients worldwide.