AI Developer | Onsite, Noida | Open To India-based candidates only

AI Developer | Onsite, Noida | Open to India-based candidates only Position type: Full-time employee Location: Onsite - Noida, India Why this role exists We are building AI solutions that solve real business problems, not demos or experiments that live on a slide. As an AI Developer on our team, you will design, build, deploy, and continuously improve production-ready AI and machine learning systems used by real users. This role is for someone who enjoys hands-on development, cares about quality and scalability, and wants to see their work move from idea to impact. This is a full-time, onsite role based in our Noida office. You will work closely with engineers, data scientists, and product partners in a collaborative, fast-moving environment. What you will do Build and deliver AI solutions Design, develop, and validate machine learning and deep learning models to address domain-specific business challenges Work across a range of approaches including classical ML, NLP, computer vision, reinforcement learning, and transformer-based models Apply Generative AI techniques, including working with large language models and retrieval-based systems, where appropriate Data engineering and preparation Collaborate with data scientists and engineers to source, clean, and preprocess large datasets Perform feature engineering and data selection to improve model inputs and outcomes Production deployment and MLOps Deploy models into production environments that support real-time or near real-time use cases Build and maintain MLOps pipelines for deployment, monitoring, versioning, and retraining Use Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP Integrate models into applications through APIs or model-serving frameworks Performance, quality, and improvement Optimize models for performance, latency, scalability, and resource efficiency Implement testing strategies including unit testing, regression testing, and A/B testing Monitor model performance and improve solutions based on data, feedback, and usage patterns Collaboration and communication Work closely with cross-functional teams including engineering, product, and subject matter experts Document model architectures, training processes, and experimental results Communicate technical concepts clearly to both technical and non-technical stakeholders Ethical and responsible AI Contribute to ethical AI practices with attention to fairness, transparency, and accountability Help identify and mitigate risks such as bias, hallucinations, or incorrect outputs