AI/ML Engineer
15 hours ago
Role & Responsibilities
- 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.
Job Type: Full-time
Pay: ₹523, ₹1,678,015.49 per year
Work Location: In person
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