AI Engineer

6 hours ago

bangalore, 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 yearsLocation: BangaloreJobType: 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.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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