Infopro Learning is hiring an 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 What we’re looking for Required - Minimum 2 years of hands-on experience in AI or machine learning development - Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn - Solid understanding of ML and DL architectures including CNNs, RNNs or LSTMs, and Transformers - Experience with data manipulation and analysis using Pandas, NumPy, and SciPy - Familiarity with software engineering best practices including Git, testing, and code optimization - Experience deploying models to cloud platforms or on-premise environments - Ability to work full-time from our Noida office Preferred - Hands-on experience with large language models such as GPT, Claude, Mistral, or LLaMA - Experience with prompt engineering, Retrieval-Augmented Generation (RAG), or vector-based search - Familiarity with tools such as LangChain, LlamaIndex, Hugging Face, Pinecone, FAISS, or Weaviate - Experience with MLOps tools like MLflow, Kubeflow, or DVC - Exposure to applying AI in domains such as healthcare, finance, retail, manufacturing, or customer service - Strong grounding in statistics and optimization Why join us - Work on real, production-grade AI systems with measurable business impact - Collaborate with experienced engineers and AI practitioners in a supportive, hands-on environment - Build breadth across models, tools, and deployment approaches while deepening your expertise - Be part of a team that values responsible, ethical AI and high-quality engineering Ready to apply? If you are excited to build AI systems that move beyond experimentation and into real-world use, we would love to hear from you. Apply now and tell us about the AI solutions you have built and want to build next.