Gloify
Linkedin · Posted 28d ago
AI/ML Engineer
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Indexed description
Job SummaryWe are looking for a skilled AI/ML Engineer with strong expertise in Python, Machine Learning, and Cloud technologies. The ideal candidate should have experience in building, deploying, and optimizing AI/ML models and scalable backend systems in cloud environments.
Key Responsibilities
- Design, develop, and deploy AI/ML models for real-world business use cases
- Build scalable backend systems and ML pipelines using Python
- Work on data preprocessing, feature engineering, model training, and evaluation
- Deploy and manage ML models on cloud platforms such as AWS, Azure, or GCP
- Develop REST APIs and microservices for AI-driven applications
- Collaborate with data engineers, product teams, and developers to deliver AI solutions
- Optimize model performance, scalability, and inference speed
- Work with structured and unstructured datasets for predictive analytics and automation
- Monitor, troubleshoot, and improve deployed ML systems
- Strong proficiency in Python
- Hands-on experience with Machine Learning frameworks:
- Scikit-learn
- TensorFlow / PyTorch
- Experience in AI/ML model development and deployment
- Good understanding of:
- Data Structures & Algorithms
- Model training & evaluation
- Data preprocessing
- Experience with cloud platforms:
- AWS / Azure / Google Cloud Platform
- Knowledge of REST APIs and backend development
- Experience with databases such as PostgreSQL, MySQL, or MongoDB
- Familiarity with Docker, Kubernetes, or CI/CD pipelines
- Strong debugging and analytical skills
- Experience with NLP, LLMs, or Generative AI
- Exposure to MLOps tools and workflows
- Knowledge of FastAPI or Flask
- Experience with distributed systems or microservices architecture
- Familiarity with vector databases and AI integrations
- Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
- Experience working in Agile/Scrum environments
- Strong communication and collaboration skills
- Passion for AI and emerging technologies
- Strong ownership and problem-solving mindset
- Ability to work independently and in a fast-paced environment
- Eagerness to learn and adapt to new tools and technologies
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