AI Solutions Engineer
Role details
Job location
Tech stack
Job description
About the Role: Smartbridge is looking for an AI Engineer to develop and optimize AI-driven solutions using a range of AI frameworks, cloud platforms, and large language model services. The ideal candidate will have 2-4 years of experience in AI engineering, machine learning models, and cloud-based AI services, with a strong understanding of integrating AI into business processes. Responsibilities:
- Develop and customize AI-driven solutions to enhance business workflows and automate processes.
- Integrate AI services from providers such as Microsoft, OpenAI, and other leading platforms into enterprise applications.
- Design, train, and optimize AI models for predictive analytics, automation, and intelligent decision-making.
- Implement natural language processing (NLP), machine learning (ML), and automation models to improve user experiences.
- Collaborate with business users and developers to define AI integration needs and solution requirements.
- Perform data preprocessing, feature engineering, and fine-tuning of AI models.
- Ensure AI models are secure, scalable, and optimized for performance.
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Requirements
- Experience with AI/ML frameworks and tools such as LangChain, OpenAI, Azure AI, or similar.
- Python or R for AI/ML model development.
- Cloud AI services such as Azure AI, AWS AI, or Google Cloud AI.
- Large language models (LLMs) and prompt engineering for AI-driven applications.
- Natural Language Processing (NLP) for text and conversation modeling.
- Power Automate or similar workflow automation tools for AI integration.
- Data Engineering: SQL, Power Query, and ETL operations.
- Familiarity with Git, DevOps, and Agile methodologies.
Additional Requirements:
- Bachelor's degree in Computer Science, AI, Data Science, or related field.
- AI-related certifications such as Azure AI Engineer, AWS Machine Learning Specialty, or equivalent preferred.
- Experience in industries such as Oil & Gas, Healthcare, or Food & Beverage is a plus.
Recruitment Process & Technical Testing: Candidates will undergo a 45-60 minute TestGorilla assessment, including: * Intro Video Section - Candidate introduction & motivation.
- Analytical & Problem-Solving Skills - Scenario-based questions.
- Technical Test - Covering AI engineering, Python, SQL, and cloud AI services.
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Benefits & conditions
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$85.00 per hour, + $110.00 per hour Join a dynamic network of Full-Stack Engineers and connect with leading AI labs and companies that are actively seeking your expertise. This opportunity allows you to engage with i…
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5 days ago