AI/ML Engineer
4 weeks ago
Description :- Develop, maintain, and optimize AI/ML pipelines for multiple products.- Fine-tune AI models and implement prompt engineering to improve performance and user experience.- Build and integrate AI models into scalable web applications with robust backend and responsive frontend architectures.- Collaborate with design and product teams to create intuitive AI-powered interfaces using ComfyUI, Gradio, Streamlit, or similar frameworks.- Assist in data collection, preprocessing, analysis, and visualization to support AI workflows.- Work on production-level deployment, monitoring, and optimization of AI models.- Experiment with emerging AI technologies, prototyping and testing new solutions.- Participate in cross-functional collaboration, providing technical guidance and innovative ideas.Ideal Candidate :- 2- 6 years of experience in Python development with strong AI/ML knowledge (PyTorch, TensorFlow, Hugging Face, Scikit-learn, etc.).- Experience in fine-tuning AI models or prompt engineering.- Experience building and maintaining AI/ML pipelines.- Ability to integrate AI models into scalable web applications with robust backend and responsive frontend architectures.- Experience with UI/UX frameworks for AI applications, such as ComfyUI, Gradio, or Streamlit.- Strong problem-solving skills and an innovative mindset to experiment with emerging AI technologies.- Ability to write clean, modular, and scalable code following best practices, including version control (Git).- Knowledge of full-stack development (Django, Flask, FastAPI, React, Vue, or similar).- Understanding of databases (SQL & NoSQL) and data pipelines.- Familiarity with UI/UX tools or experience working closely with design teams.- Ability to work independently and collaboratively, with a keen interest in AI/ML innovation.- Experience with cloud platforms (AWS, GCP, Azure) and understanding of containerization/orchestration (Docker, Kubernetes)- Ability to write clean, modular, and scalable code following best practices, including version control (Git).- Solid experience with full-stack development (Django, Flask, FastAPI for backend; React, Vue, or similar for frontend).- Understanding of relational and non-relational databases (SQL & NoSQL) and data pipelines.Nice to Have :- Understanding of data visualization, social analytics, or marketing tech.- Experience with serverless architectures or microservices.- Knowledge of MLOps tools for model monitoring and workflow automation.- Familiarity with multimodal AI models (text, image, audio) or generative AI projects.- Exposure to production-level deployment of AI models and API integrations.- Understanding of UX design principles for AI interfaces. (ref:hirist.tech)
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