Overview

As a Senior/Lead specializing in Generative AI and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation.

Responsibilities

• Generative AI, NLP & MLE: Design, develop, deploy, and scale cutting-edge applications leveraging Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices.
• Model Customization & Fine-Tuning: Fine-tune and customize LLMs using techniques like LoRA and PEFT to create domain-specific, deployable models aligned with real-world business use cases.
• ML Engineering & Deployment: Build and maintain end-to-end ML pipelinesincluding data preprocessing, model training, versioning, testing, and deploymentusing MLflow, Docker, Kubernetes, and CI/CD methodologies.
• Cutting-edge Problem Solving: Apply advanced AI and ML methodologies to solve practical business problems, delivering measurable impact.
• Scalable AI Solutions: Collaborate with platform and data engineering teams to ensure robust model deployment, monitoring, and retraining in production environments.
• Data-Driven Insights: Analyze structured and unstructured data to uncover trends, optimize model performance, and guide strategic decisions.
• Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into enterprise architectures and business strategies.
• Client Engagement: Interact directly with clients to understand requirements, present customized AI solutions, and advise on the adoption and operationalization of Generative AI and ML technologies.