AI/ML Engineer
Role details
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Tech stack
Job description
Responsibilities: As an AI / ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services, ensuring proper cloud or on-prem application pipeline with production-ready quality. You will apply Generative AI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. You are expected to perform independently and become a subject matter expert. Active participation and contribution in team discussions are required, along with providing solutions to work-related problems. Expert proficiency in Python (Programming Language) is required. Advanced proficiency in Google Cloud Platform (GCP) for Machine Learning is recommended. Additionally, advanced proficiency in Machine Learning Architecture Design and Playwright is suggested. Design and implement innovative AI solutions that address complex business challenges. Collaborate with cross-functional teams to integrate AI capabilities, JOB SUMMARY Responsible for the technical start-up for large, high-profile orders as directed by the Site Leader (SL) and Senior Project Start Up Engineer (SPSE). The Project Sta…
- 13 hours ago
Requirements
into existing systems. Conduct research to stay updated on the latest AI trends and technologies. Mentor junior team members and share knowledge to foster a collaborative learning environment. Evaluate and optimize AI models for performance and scalability. What are "nice-to-have" skills and years of experience: 1. Playwright 2. 3. What type of education is needed for this position: B-degree Skills: AI/ML Python, GCP, Machine learning.
