
AI/ML Developer
24 hours ago
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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