AI Engineer

Job Description

Description

Key Responsibilities:

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise use cases
• Build and optimize machine learning models, LLM-powered applications, and inference pipelines
• Develop prompting frameworks and orchestration logic for GenAI use cases (e.g., RAG, agents, document search)
• Prepare, clean, and transform structured and unstructured data for model training and inference
• Integrate AI solutions into applications, APIs, and workflows using modern software engineering practices
• Establish model monitoring, logging, evaluation, and retraining processes to ensure reliability and performance
• Collaborate with data engineers, software engineers, product managers, and stakeholders to align AI solutions to business needs
• Participate in architecture discussions and provide recommendations on tools, models, and platforms
• Document AI designs, implementation approaches, and operational considerations

Requirements

• Strong programming experience in Python for AI/ML development
• Hands-on experience building and deploying machine learning or AI models in production environments
• Experience with ML and GenAI frameworks (e.g., PyTorch, TensorFlow, scikit-learn, LangChain, Hugging Face)
• Experience working with LLMs and GenAI applications (e.g., prompt engineering, RAG, vector databases)
• Familiarity with MLOps or AI deployment practices (model versioning, monitoring, CI/CD, containerization)
• Solid understanding of data concepts, feature engineering, and model evaluation techniques
• Ability to translate business problems into AI-driven solutions
• Strong communication and collaboration skills

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
#GraphicDesignJobsOnline
#WebDesignRemoteJobs
#FreelanceGraphicDesigner
#WorkFromHomeDesignJobs
#OnlineWebDesignWork
#RemoteDesignOpportunities
#HireGraphicDesigners
#DigitalDesignCareers
# Dynamicbrand guru