Ai Developer

We are looking for an experienced and results-driven AI Developer to join our team The ideal candidate will be responsible for developing deploying and optimizing AI and machine learning models to solve real-world business problems You will collaborate with cross-functional teams to deliver scalable and ethical AI solutions using state-of-the-art tools and technologies Location Onsite - Noida India Type Full-time employee Experience Minimum 2 years experience Key Responsibilities Data Engineering Preprocessing Collaborate with data scientists and engineers to source clean and preprocess large datasets Perform feature engineering and data selection to improve model inputs AI Model Development Implementation Design build and validate machine learning and deep learning models including Convolutional Neural Networks CNNs Recurrent Neural Networks RNNs LSTMs Transformers NLP and computer vision models Reinforcement learning agents Classical ML techniques Develop models tailored to domain-specific business challenges Performance Optimization Scalability Optimize models for performance latency scalability and resource efficiency Ensure models are production-ready for real-time applications Deployment MLOps Integration Build and maintain MLOps pipelines for model deployment monitoring and retraining Use Docker Kubernetes and CI CD tools for containerization and orchestration Deploy models on cloud platforms AWS Azure GCP or on-premise infrastructure Integrate models into systems and applications via APIs or model-serving frameworks Testing Validation Continuous Improvement Implement testing strategies like unit testing regression testing and A B testing Continuously improve models based on user feedback and performance metrics Research Innovation Stay up to date with AI ML advancements tools and techniques Experiment with new approaches to drive innovation and competitive advantage Collaboration Communication Work closely with engineers product managers and subject matter experts Document model architecture training processes and experimental findings Communicate complex technical topics to non-technical stakeholders clearly Ethical AI Practices Support and implement ethical AI practices focusing on fairness transparency and accountability Core Technical Skills Proficient in Python and experienced with libraries such as TensorFlow PyTorch Keras Scikit-learn Solid understanding of ML DL architectures CNNs RNNs LSTMs Transformers Skilled in data manipulation using Pandas NumPy SciPy MLOps Deployment Experience Experience with MLOps tools like MLflow Kubeflow DVC Familiarity with Docker Kubernetes and CI CD pipelines Proven ability to deploy models on cloud platforms AWS Azure or GCP Software Engineering Analytical Thinking Strong foundation in software engineering Git unit testing and code optimization Strong analytical mindset with experience working with large datasets Communication Teamwork Excellent communication skills both written and verbal Collaborative team player with experience in agile environments Preferred Advanced AI LLM Expertise Hands-on experience with LLMs e g GPT Claude Mistral LLaMA Familiarity with prompt engineering and Retrieval-Augmented Generation RAG Experience with LangChain LlamaIndex and Hugging Face Transformers Understanding of vector databases e g Pinecone FAISS Weaviate Domain-Specific Experience Experience applying AI in sectors like healthcare finance retail manufacturing or customer service Specialized knowledge in NLP computer vision or reinforcement learning Academic Research Background Strong background in statistics and optimization Research publications in top AI ML conferences e g NeurIPS ICML CVPR ACL are a plus