Experience: 8+ Years
Job Description:
? Design, develop, and optimize machine learning models for NLP, generative AI, and LLM applications
? Build and deploy AI-powered solutions at scale for complex workflows and text data analysis
? Develop end-to-end ML pipelines including preprocessing, feature engineering, training, evaluation, and deployment
? Architect production-ready ML systems following MLOps best practices for scalability and reliability
? Build and maintain data pipelines for structured and unstructured enterprise data
? Ensure security, privacy, and compliance in ML workflows
? Work with cloud-native and serverless architectures for efficient model deployment Required Skills:
? 8+ years of experience in Machine Learning, AI, or Deep Learning
? Strong expertise in NLP, Generative AI, and Large Language Models (LLMs)
? Proficiency in Python
? Experience with TensorFlow, PyTorch, and Hugging Face Transformers
? Hands-on experience deploying models on AWS, GCP, or Azure
? Knowledge of MLOps practices and scalable ML systems
? Experience with Docker, Kubernetes, and orchestration pipelines
Additional Skills:
? Strong problem-solving and analytical abilities
? Experience with cloud-native AI services and serverless architectures

Keyskills: deep learning Data analysis orchestration Scalability GCP Analytical Machine learning Transformers Deployment Python
Indium Software is a leading provider of Digital Engineering solutions with deep expertise in Application Engineering, Cloud Engineering, Data and Analytics, DevOps, Digital Assurance and Gaming. Over the past decade, Indium has built strong relationships with over 100 clients-spanning ISVs, Glo...