AI engineer

This role is for one of Weekday's clients
Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA)
Min Experience: 3 years
Location: Bengaluru
JobType: full-time

Requirements

About the Role

We are seeking a passionate and skilled AI Engineer to join our innovative engineering team. In this role, you will play a pivotal part in designing, developing, and deploying cutting-edge artificial intelligence solutions with a focus on natural language processing (NLP), computer vision, and machine learning models using TensorFlow and related frameworks.

You will work on challenging projects that leverage large-scale data, deep learning, and advanced AI techniques, helping transform business problems into smart, automated, and scalable solutions. If you’re someone who thrives in a fast-paced, tech-driven environment and loves solving real-world problems with AI, we’d love to hear from you.

Key Responsibilities

• Design, develop, train, and deploy AI/ML models using frameworks such as TensorFlow, Keras, and PyTorch.
• Implement solutions across NLP, computer vision, and deep learning domains, using advanced techniques such as transformers, CNNs, LSTMs, OCR, image classification, and object detection.
• Collaborate closely with product managers, data scientists, and software engineers to identify use cases, define architecture, and integrate AI solutions into products.
• Optimize model performance for speed, accuracy, and scalability, using industry best practices in model tuning, validation, and A/B testing.
• Deploy AI models to cloud platforms such as AWS, GCP, and Azure, leveraging their native AI/ML services for efficient and reliable operation.
• Stay up to date with the latest AI research, trends, and technologies, and propose how they can be applied within the company’s context.
• Ensure model explainability, reproducibility, and compliance with ethical AI standards.
• Contribute to the development of MLOps pipelines for managing model versioning, CI/CD for ML, and monitoring deployed models in production.

Required Skills & Qualifications

• 3+ years of hands-on experience building and deploying AI/ML models in production environments.
• Proficiency in TensorFlow and deep learning workflows; experience with PyTorch is a plus.
• Strong foundation in natural language processing (e.g., NER, text classification, sentiment analysis, transformers) and computer vision (e.g., image processing, object recognition).
• Experience deploying and managing AI models on AWS, Google Cloud Platform (GCP), and Microsoft Azure.
• Skilled in Python and relevant libraries such as NumPy, Pandas, OpenCV, Scikit-learn, Hugging Face Transformers, etc.
• Familiarity with model deployment tools such as TensorFlow Serving, Docker, and Kubernetes.
• Experience working in cross-functional teams and agile environments.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Preferred Qualifications

• Experience with MLOps tools and pipelines (MLflow, Kubeflow, SageMaker, etc.).
• Knowledge of data privacy and ethical AI practices.
• Exposure to edge AI or real-time inference systems.