Project Role : AI / ML Engineer

Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills : Natural Language Processing (NLP)

Positive to have skills : NA

Minimum 7.5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready pipelines, ensuring the integration of generative AI models into solutions, and exploring various AI methodologies, including deep learning and neural networks. You will also have the prospect to work on creative projects that may involve chatbots and image processing,



contributing to the advancement of AI technologies within the organization.

Roles & Responsibilities:

AI Model Development & Fine-Tuning
Train, fine-tune, and adapt machine learning and deep learning models tailored to specific business use cases.

Data Management & Preparation
Collect, clean, and preprocess both structured and unstructured data.
Conduct feature engineering, normalization, and anomaly detection to enhance data quality.

Model Deployment & Productionization
Package and deploy AI models to production environments using containerization and model serving frameworks.
Monitor deployed AI systems for performance, reliability, and scalability.

Intelligent System Automation
Automate business processes through AI-driven systems (e.g., predictive analytics, NLP-based chatbots, computer vision applications).

Agentic System Simulation & Optimization
Test, simulate, and optimize entire agentic sy

📌 Natural Language Processing Pune
🏢 Accenture
📍 Pune