AI Engineer

4 weeks ago

Bengaluru, India Weekday AI Full time

This role is for one of the Weekday's clientsSalary range: Rs - Rs (ie INR 6-8 LPA) Min Experience: 0 years Location: Bangalore JobType: full-timeWe are looking for a passionate and motivated AI Engineer to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications. You will contribute to projects across various AI domains — including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics — while continuously learning and applying state-of-the-art algorithms and tools. Requirements Key Responsibilities AI Model Development: Design, implement, and train machine learning and deep learning models to solve business problems across different use cases. Data Preparation & Feature Engineering: Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation. Algorithm Optimization: Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency. Model Deployment & Integration: Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker. Research & Innovation: Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes. Cross-Functional Collaboration: Work with product managers and software engineers to understand business requirements and translate them into technical solutions. Performance Monitoring: Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field . 0–3 years of hands-on experience in machine learning, AI development, or data-driven software engineering . Proficiency in programming languages such as Python (preferred) or R , with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch . Strong understanding of machine learning algorithms , neural networks , data preprocessing , and statistical analysis . Experience with model evaluation metrics , data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git. Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services. Familiarity with APIs , REST frameworks , and data pipelines is a plus. Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies. Preferred Qualifications Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection) . Internship or project experience involving AI/ML model deployment or end-to-end data workflows . Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker.

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