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Advanced AI Specialist Position

3 weeks ago

Bengaluru, Karnataka, India beBeeInnovation Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
Job Title: Senior AI Engineer - Advanced Applications

Our organization is a global leader in artificial intelligence (AI) and analytics, assisting Fortune 1000 companies in resolving complex challenges.

As an AI specialist focusing on Generative AI, Machine Learning Engineering (MLE), and Natural Language Processing (NLP), you will be at the forefront of AI innovation.

  • You will design, develop, deploy, and scale sophisticated models using advanced frameworks like HuggingFace, LangChain, and Transformers to address business problems.
  • You will apply techniques such as LoRA, PEFT, and fine-tuning of Large Language Models (LLMs) to build domain-specific models aligned with business use cases.
  • You will implement end-to-end ML pipelines using tools like MLflow, Docker, Kubernetes, and CI/CD practices.

Key Responsibilities:

  • Design, develop, deploy, and scale advanced applications using Generative AI models, NLP techniques, and MLE/MLOps best practices.
  • Apply techniques such as LoRA, PEFT, and fine-tuning of LLMs to build domain-specific models aligned with business use cases.
  • Implement end-to-end ML pipelines including data preprocessing, model training, versioning, testing, and deployment.
  • Leverage cutting-edge AI and ML methodologies to solve practical business problems and deliver measurable results.
  • Ensure robust deployment, monitoring, and retraining of models in production environments.
  • Conduct deep analysis of structured and unstructured data to uncover trends, guide decisions, and optimize AI models.
  • Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into broader architectures and business strategies.
  • Work directly with clients to understand requirements, present tailored AI solutions, and provide advisory on the adoption and operationalization of Generative AI and ML.

What We Are Looking For:

  • Expertise in Generative AI: Hands-on experience in designing and deploying LLM-based solutions.
  • Proven experience in building ML models that are scalable, reliable, and production-ready.
  • Knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms for deploying AI solutions at scale.
  • Proficiency in development using Python frameworks or other similar technologies.
  • In-depth understanding of APIs, microservices architecture, and cloud-based deployment strategies.
  • A passion for staying updated with the latest in Gen AI, LLMs, and ML engineering practices.
  • Ability to translate complex technical concepts into business-friendly insights and recommendations.