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AI/ML Engineer - Python

Gloify
3 - 5 Years
Multiple Locations

Posted on: 20/05/2026

Job Description

Job Summary :

We 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

Required Skills :

- Strong proficiency in Python

- Hands-on experience with Machine Learning frameworks :

1. Scikit-learn

2. TensorFlow / PyTorch

3. Experience in AI/ML model development and deployment

- Good understanding of :

1. Data Structures & Algorithms

2. Model training & evaluation

3. 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

Good-to-Have 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

Preferred Qualifications :

- 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

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