Python Ai Ml Specialist

": "

We are looking for a skilled Python AI/ML Specialist with 3-5 years of hands-on experience in building, deploying, and optimizing machine learning models. The ideal candidate should have strong expertise in Python, data handling, and modern AI/ML frameworks, with the ability to translate business problems into scalable AI solutions.

", "qualification": "

1. Programming Languages: Python, C++, JavaScript, Java, SQL
2. Backend Technologies: Node.js, FastAPI, RESTful APIs, WebSockets, Microservices
3. AI/ML Technologies: LLMs, RAG Architecture, NLP, Semantic Search, Scikit-learn
4. Databases: PostgreSQL, MongoDB
5. DevOps Tooling: Docker, GitHub Actions, Linux, Git
6. Workflow Automation: n8n (nice to have)

", " ": [ "Design, develop, and deploy machine learning and AI models for real-world applications", "Work with large datasets to perform data cleaning, preprocessing, and feature engineering", "Build predictive models, recommendation systems, and NLP/Computer Vision solutions", "Optimize model performance and ensure scalability in production environments", "Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions", "Implement APIs and integrate ML models into existing systems", "Monitor model performance and retrain models as required", "Stay updated with the latest advancements in AI/ML technologies" ], "requirements": "

1. Design, develop, and maintain backend services and APIs using Node.js, FastAPI, and microservice architectures.
2. Build full-stack platforms with modular and scalable components.
3. Integrate LLMs, semantic search pipelines, and RAG workflows for AI-driven features.
4. Implement real-time data flows and dashboards using WebSockets and event-based systems.
5. Develop ML pipelines and models for anomaly detection, classification, and semantic similarity.
6. Collaborate on system design, architecture decisions, and deployment strategies.
7. Write efficient, testable, and maintainable code with strong attention to performance and scalability.
8. Work closely with cross-functional teams for product ideation and execution.

", "posted_on": "Posted 207 days ago", "

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