Senior AI-ML Expert

1 week ago

Bengaluru, Karnataka, India beBeeAIEngineer Full time ₹ 2,50,00,000 - ₹ 3,00,00,000

Reimagine the future of fintech by joining our cutting-edge team as a Senior AI-ML Engineer.

As a key member of our squad, you will leverage advanced machine learning technologies to develop impactful solutions that drive business growth. You will be responsible for end-to-end ML model development and deployment, building robust AI workflows, optimizing infrastructure for performance, and ensuring seamless integration into our cloud-based platform.

Key Responsibilities
  • Train, fine-tune, and deploy complex machine learning models, including Large Language Models (LLMs) like GPT and BERT, to address challenging business problems.
  • Develop and optimize Generative AI models, including hands-on experience with diffusion models, LoRA (Low-Rank Adaptation), and advanced training techniques to achieve state-of-the-art results.
  • Design, implement, and optimize intricate AI workflows leveraging LLMs, Generative AI, and third-party APIs for seamless functionality.
  • Build and deploy scalable AI pipelines to support real-time processing and manage large-scale data workflows efficiently.
  • Transition AI prototypes into robust, production-ready solutions in close collaboration with cross-functional teams, ensuring quality and reliability.
  • Scale complex data pipelines, optimize training and inference systems, and ensure high reliability and availability across all ML systems.
  • Enhance overall system performance, scalability, and reliability of AI/ML solutions to meet evolving customer and business demands.
  • Continuously monitor and improve deployed solutions based on performance metrics, user feedback, and operational requirements.
  • Develop critical backend features and automation tasks to seamlessly integrate AI systems into our core platform.
  • Leverage expertise in cloud platforms (AWS, GCP, Azure) to design and implement scalable GPU systems for efficient AI/ML model training and inference.
Requirements
  • Strong understanding of fundamental machine learning algorithms, with deep knowledge of transformer-based architectures.
  • Proven hands-on experience working with and fine-tuning Large Language Models (LLMs) such as GPT, BERT, or similar state-of-the-art frameworks.
  • Hands-on experience deploying and optimizing Generative AI models, with advanced knowledge of diffusion models, LoRA, and similar techniques for image/text generation or manipulation.
  • Strong proficiency in Python programming, with extensive experience using ML frameworks like TensorFlow and PyTorch.
  • Proven expertise in major cloud environments (AWS, GCP, Azure), including deploying and managing ML workloads.
  • Proficiency in designing, building, and integrating APIs and end-to-end AI workflows.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) for ML deployment is a plus.
What We Offer
  • Work on cutting-edge AI technologies that redefine fintech solutions and create meaningful customer experiences.
  • Join a talented team that fosters creativity, continuous learning, and professional growth in a supportive environment.
  • Access to continuous learning resources and significant career growth potential within a fast-paced startup.
  • Enjoy a competitive salary, equity opportunities, and a comprehensive benefits package tailored to support your personal and professional goals.

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