Lead Engineer - AI/ML

5 - 10 years

20 - 27 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Company Overview

We are looking for an innovative Lead AI/ML engineer to join our cutting-edge generative AI team. Our team develops a state-of-the-art gen-ai platform that creates domain-aware agents for financial operations, serving both internal processes and customer-facing products. We design and build scalable AI architectures and implement intelligent systems that operate within the complex world of finance. As a core part of Arcesiums technology innovation, we integrate our AI solutions into the firms broader financial technology ecosystem, driving efficiency, accuracy, and insights throughout the platform.

What Youll Do:

  • Design, develop, and implement complex AI/ML models and algorithms to solve business challenges
  • Architect and build scalable AI/ML solutions using cloud technologies, particularly AWS
  • Gather requirements, validate architecture, and create/review high-level and low-level designs for AI/ML projects
  • Provide technical consultation on AI/ML technologies and solutions for various projects/products
  • Create and review architectural decisions, ensuring the integration of AI/ML components with existing systems
  • Ensure compliance of non-functional attributes (stability, scalability, performance, etc.) of AI/ML products to internal standards
  • Guide and provide technical training on AI/ML topics, influencing business/technical decisions
  • Own and execute AI/ML projects independently from an architectural standpoint
  • Collaborate with cross-functional teams to integrate AI/ML solutions into production environments

What Youll Need:

  • Bachelors/Master s degree in computer science, Machine Learning, AI/ML
  • 5+ years of relevant experience in AI/ML, with a strong background in Python, Java, or similar languages
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Proven track record in designing and implementing end-to-end ML pipelines for enterprise-grade software
  • Strong knowledge of AI/ML algorithms, statistical modeling, and deep learning techniques
  • Familiarity with AWS services, especially those related to AI/ML
  • Experience with Infrastructure as Code tools, particularly Terraform
  • Familiarity with Gen-AI Agentic frameworks like Langgraph,
  • Experience with MLOps practices and tools for model deployment and monitoring
  • Experience building and productionizing Python-based products
  • Familiarity with SRE principles as they apply to AI/ML systems
  • Knowledge of AI ethics and responsible AI practices
  • Experience with natural language processing (NLP) or computer vision projects
  • Contributions to open-source ML projects or research publications

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