Python: The primary language for AI/ML development (with frameworks like Django, Flask, or FastAPI).
React JS: For building dynamic and data-driven user interfaces.
Related Technologies: JavaScript/TypeScript, Node.js (often used for the backend), and database systems (SQL and NoSQL).
AI/ML Knowledge: Deep understanding of AI/ML concepts, including natural language processing (NLP), deep learning, generative AI, RAG architectures, and MLOps practices.
Cloud Proficiency: Experience with cloud platforms (AWS, Azure, or GCP) and related services, including containerization (Docker, Kubernetes) and CI/CD pipelines.
Architectural Skills: Proven experience in solution or system architecture, microservices design, API development (RESTful, GraphQL), and data architecture.
Soft Skills: Excellent problem-solving, analytical, leadership, and communication skills to effectively manage cross-functional teams and stakeholders.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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