Summary
GigSumo.com is seeking an AI Engineer to develop and deploy intelligent solutions that address complex business problems and enhance product capabilities. The role focuses on building, optimizing, integrating, and supporting machine learning and artificial intelligence models while collaborating with cross-functional teams to deliver scalable, reliable, and production-ready applications.
Responsibilities
- Design, develop, and deploy intelligent AI solutions that solve complex business problems and improve product capabilities
- Developing, training, testing, and optimizing machine learning and artificial intelligence models
- Integrating AI capabilities into applications
- Supporting AI solutions throughout the development lifecycle
- Working closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements and deliver scalable, reliable, and production-ready AI applications
- Collaborate with cross-functional teams
- Identify defects early in the development cycle
- Ensure high-quality product delivery
Skills
- 3 – 7 years of hands-on experience
- Python
- Machine Learning
- Deep Learning
- Generative AI
- Natural Language Processing
- Computer Vision
- TensorFlow
- PyTorch
- Scikit-learn
- Data preprocessing
- Model performance optimization
- Deployment
- Monitoring
- Troubleshooting AI systems
- Agile
- Analytical
- Problem-solving
- Programming
- Communication
- Collaboration
- Experience with Large Language Models
- Retrieval-Augmented Generation
- Prompt engineering
- Vector databases
- LangChain
- REST APIs
- AI model evaluation
- Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud
- Docker
- Kubernetes
- Git
- CI/CD
- MLOps practices
Qualifications
Must Haves
- 3 – 7 years of hands-on experience
- Python
- Machine Learning
- Deep Learning
- Generative AI
- Natural Language Processing
- Computer Vision
- TensorFlow
- PyTorch
- Scikit-learn
- data preprocessing
- model performance optimization
- deployment
- monitoring
- troubleshooting AI systems
- Agile
- analytical
- problem-solving
- programming
- communication
- collaboration
Nice to Haves
- Experience with Large Language Models
- Retrieval-Augmented Generation
- prompt engineering
- vector databases
- LangChain
- REST APIs
- AI model evaluation
- Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud
- Docker
- Kubernetes
- Git
- CI/CD
- MLOps practices
Benefits
- Onsite / Hybrid / Remote (Based on Business Requirements) work arrangement