Finanshels - Senior/Lead Engineer - Machine Learning/Artificial Intelligence (7-10 yrs)

We are looking for a Senior Lead Engineer to design, develop, and scale innovative AI / ML-driven solutions. You will be responsible for architecting highly scalable, low-latency distributed systems optimized for AI / ML workloads.

As a key technical leader, you will solve complex challenges, influence next-generation AI / ML infrastructures, and guide cross-functional teams to deliver state-of-the-art solutions for fast-growing startups and enterprise companies.

Be at the forefront of shaping next-generation AI / ML infrastructures, driving solutions for high-impact products across diverse industries.

Youll have the opportunity to influence key architectural decisions and enable real-world applications that scale globally, ensuring innovation and efficiency at every step.

Role & Responsibilities :

Youll be responsible for :

- 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 provide 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.

You Need :

- 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.

- Strong experience in 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.