AI/ML Developer

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.

• 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

• 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

• 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

• 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