AI Engineer

AI Engineer – Roles \& Responsibilities 1\. Design \& Develop AI Models Build, train, and optimize machine learning (ML) and deep learning models Work with algorithms such as regression, classification, clustering, NLP, and computer vision Select appropriate model architectures based on business use cases 2\. Data Handling \& Preprocessing Collect, clean, and preprocess structured and unstructured data Perform feature engineering and data transformation Ensure data quality, consistency, and scalability 3\. Model Training \& Evaluation Train models using frameworks like TensorFlow, PyTorch, or Scikit-learn Evaluate model performance using metrics (accuracy, precision, recall, F1-score) Perform hyperparameter tuning and model optimization 4\. Deployment \& Integration Deploy AI models into production environments (APIs, microservices, cloud) Integrate AI solutions into web or mobile applications Work with cloud platforms like AWS, Google Cloud, or Microsoft Azure 5\. Automation \& AI Pipelines Build end-to-end ML pipelines (data ingestion → training → deployment) Automate workflows using CI/CD for ML (MLOps practices) Monitor model performance and retrain when needed 6\. AI Research \& Innovation Stay updated with latest AI trends, research papers, and tools Experiment with new models (LLMs, generative AI, reinforcement learning) Apply cutting-edge techniques to solve real-world problems 7\. Performance Optimization Optimize models for speed, scalability, and cost efficiency Use techniques like model pruning, quantization, and distributed training 8\. Collaboration \& Communication Work with data scientists, software engineers, and product teams Translate business problems into AI solutions Document models, workflows, and technical decisions 9\. Ethics \& Responsible AI Ensure fairness, transparency, and bias mitigation in AI systems Follow data privacy and security standards Common Tools \& Technologies Programming: Python, R Libraries: TensorFlow, PyTorch, Scikit-learn NLP: Transformers, Hugging Face Databases: SQL, NoSQL DevOps/MLOps: Docker, Kubernetes, CI/CD tools Version Control: Git Optional Specializations NLP Engineer (chatbots, LLMs) Computer Vision Engineer Generative AI Engineer AI for Cybersecurity / Policing (relevant to your interest Job Types: Full-time, Fresher, Internship Contract length: 6 months Pay: From ₹400,000\.00 per year Benefits: * Cell phone reimbursement * Commuter assistance * Flexible schedule * Food provided * Health insurance * Internet reimbursement * Leave encashment * Life insurance * Paid sick time * Paid time off * Provident Fund * Work from home Experience: * total work: 1 year (Preferred) Location: * Baner, Pune, Maharashtra (Required) Work Location: Hybrid remote in Baner, Pune, Maharashtra