Lead AI/ML Architect

3 weeks ago

Anywhere in IndiaMultiple Locations Finanshels Full time

Job Title: Senior/Lead Engineer

Job Summary:

Finanshels is seeking an exceptional Senior/Lead Engineer to lead the design, development, and scale of innovative AI / ML solutions. As a key technical leader, you will be responsible for architecting highly scalable, low-latency distributed systems optimized for AI / ML workloads.

Main Responsibilities:

  • Leading the execution of large-scale AI / ML projects, ensuring alignment with business objectives.
  • Architecting and designing scalable, low-latency backend architectures, focusing on AI / ML model serving, real-time data processing, and integration with cloud infrastructure.
  • Overseeing deployment of AI / ML models and infrastructure, ensuring high-performance, reliability, and scalability in production environments.
  • Driving decisions for cloud platforms (AWS, GCP, or Azure), auto-scaling, serverless architectures, and resource optimization.
  • Influencing and guiding the architectural direction of the organization, ensuring future-proof, AI / ML-ready systems and solutions.
  • Defining benchmarks and optimizing performance across AI / ML workloads.
  • Leading technical troubleshooting, performance tuning, and architecture optimizations to ensure scalable and efficient deployment of AI / ML systems.
  • Mentoring and providing technical guidance to engineers across multiple teams, fostering a collaborative and innovative engineering culture.
  • Communicating project progress, risks, and technical decisions effectively to stakeholders, ensuring transparency and alignment with business goals.
  • Ensuring engineering best practices are followed, including CI / CD, TDD, version control, and test automation.
  • Experience with machine learning frameworks (TensorFlow, PyTorch) and data pipelines for real-time processing and high-concurrency environments.
  • Ability to troubleshoot and resolve complex technical challenges related to AI / ML workloads, scalability, and performance.
  • Excellent leadership and communication skills, with a proven ability to mentor engineers and work closely with cross-functional stakeholders.
  • To be a self-starter who excels at execution, balancing short-term technical delivery with long-term scalability and efficiency goals.

Requirements:

  • 7+ years in software engineering or architecture, including 5+ years leading cross-functional teams in AI / ML or distributed systems projects.
  • Proven experience designing and managing large-scale backend architectures and distributed environments, with expertise in microservices, event-driven systems, and RESTful / GraphQL API development for AI / ML systems in production.
  • Extensive experience with AI / ML model deployment, performance tuning, model serving, and seamless integration with backend systems.
  • Deep understanding of cloud platforms (AWS, GCP, Azure), auto-scaling, serverless, and fault-tolerant architectures.

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