Opening For AI Engineer - ARC Document Solutions (Product MNC)

Job Title : AI Engineer

Location : Kolkata, WB, India

Technical Expertise :

• Deep expertise in Natural Language Processing (NLP), including transformers, BERT, GPT, named entity recognition, and more.
• Strong background in Computer Vision, including CNNs, object detection, image segmentation, GANs, etc.
• Advanced proficiency in Python and AI-related libraries such as TensorFlow, PyTorch, and Keras.
• Experience designing and implementing scalable AI architectures and deploying AI models to production environments.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and tools for AI deployment (e.g., Docker, Kubernetes).
• Strong knowledge of machine learning algorithms, data structures, and optimization techniques.

Key Responsibilities:

• Architect AI Solutions: Lead the design and architecture of end-to-end AI systems, especially in NLP and Computer Vision.
• Model Design & Optimization: Guide the design, development, and optimization of advanced deep learning models using frameworks like TensorFlow, PyTorch, and Keras for various applications.
• Research and Innovation: Conduct in-depth research to identify and implement the latest AI techniques and architectures for NLP (e.g., transformer models, BERT, GPT) and computer vision (e.g., CNNs, GANs, object detection).
• Scalable Systems: Architect scalable AI systems capable of handling large datasets and operating in real-time or near real-time environments.
• Collaboration: Work closely with product managers, engineers, and data scientists to seamlessly integrate AI solutions into production systems.
• Mentorship: Provide technical leadership, mentorship, and guidance to AI teams, ensuring the delivery of high-quality code, architecture, and model performance.
• Deployment & Maintenance: Oversee the deployment of AI models into production environments, ensuring they are optimized for efficiency, scalability, and long-term maintainability.
• Continuous Improvement: Stay updated with industry trends, continuously improving AI capabilities through experimentation with new techniques, algorithms, and tools.

Preferred Qualifications:

• Expertise in reinforcement learning or other advanced AI techniques.

• Experience with big data frameworks such as Hadoop and Spark.

• Familiarity with AI model interpretability and explainability techniques.

• Knowledge of containerization and deployment frameworks (Docker, Kubernetes, etc.).

• Proven track record of leading large-scale AI projects from concept to production.