AI -ML Engineer
KeySkills
Company Name
Job Description
Job Description:
As an AI/ML Engineer, you will design and develop applications and systems that leverage AI tools, cloud-based machine learning services, and production-grade pipelines. You?ll apply generative AI models, build intelligent solutions, and work with cutting-edge technologies like deep learning, neural networks, image processing, and chatbots. This role focuses on Google Cloud Platform (GCP) with strong data engineering and ML capabilities.
Key Responsibilities:
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Design, develop, and maintain scalable data pipelines using GCP services like Dataflow, BigQuery, Pub/Sub, and Cloud Storage
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Deploy and manage production-ready AI/ML models, including GenAI integration
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Collaborate with data scientists, analysts, and business stakeholders to define and implement end-to-end data solutions
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Implement CI/CD pipelines, version control, and automated workflows
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Ensure data governance, security, and compliance with GCP IAM and encryption policies
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Troubleshoot and optimize pipeline performance and scalability
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Document technical architectures and contribute to best practice guidelines
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Apply ML and AI services for NLP, image processing, chatbots, and predictive modeling
Technical & Professional Skills:
Must Have:
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Hands-on expertise with Google Cloud Machine Learning Services
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Strong knowledge of GCP tools: BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage
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Proficiency in SQL and Python for data processing and ETL development
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Experience in data modeling, query optimization, and real-time streaming
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Familiarity with CI/CD practices, Git, and data warehouse architectures
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Understanding of data security, IAM policies, and compliance standards
Good to Have:
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Experience with Dialogflow, Contact Center AI (CCAI)
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Familiarity with machine learning pipelines and model deployment on GCP
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Certifications such as Google Professional Data Engineer or Google Cloud Architect
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