AI/ML Developer

24 hours ago


Ahmedabad, India EzIntervuez Full time

About the Role

We are looking for an AI/ML Developer with a strong background in product development to join our in-house team. This role goes beyond experimentation. You will be directly contributing to building and scaling AI-powered SaaS products that impact thousands of users. From ideation to production, you will collaborate with cross-functional teams to bring intelligent features into our products.

Key Responsibilities


• Design and develop ML/AI models that can be integrated into our SaaS products


• Collaborate with product managers and developers to define AI-driven features and ensure smooth integration into applications


• Build scalable pipelines for data ingestion, preprocessing, training, and deployment


• Work with structured and unstructured data including text, images, video, and behavioral data


• Optimize models for real-world performance, scalability, and low-latency environments


• Maintain ML models in production including monitoring, retraining, versioning, and A/B testing


• Stay updated with advancements in LLMs, Generative AI, Computer Vision, NLP and propose new applications for product improvement


• Document technical approaches and best practices for knowledge sharing

Required Skills & Qualifications


• Bachelor's or Master's degree in Computer Science, Data Science, or related field


• Minimum 3 years of experience in applied ML/AI with hands-on product deployment


• Strong programming skills in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face


• Experience with end-to-end ML lifecycle including data preparation, model development, deployment, and monitoring


• Prior exposure to AI-powered SaaS development or product features such as chatbots, recommendation systems, predictive analytics


• Familiarity with APIs, microservices, and cloud platforms such as AWS, GCP, or Azure


• Knowledge of SQL and NoSQL databases and data pipeline tools


• Strong debugging, optimization, and performance tuning skills

Nice to Have


• Experience with LangChain, Vector Databases such as FAISS, Pinecone, Weaviate, and RAG-based LLM systems


• Understanding of MLOps tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes


• Exposure to AI in HRTech, Productivity SaaS, or Workflow Automation products


• Contributions to open-source AI projects or published work

What We Offer


• Opportunity to build real SaaS products with AI at the core


• Exposure to cutting-edge AI/ML and LLM applications


• Collaborative startup-like environment with fast execution


• Competitive compensation with performance-linked growth

  • Ownership of features from concept to production


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