Engineering Manager – AI/ML (Fintech)

Work Force Nexus; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Competitive compensation

ESOPs

Growth opportunities

Job summary

A dynamic fintech company is seeking an experienced Engineering Manager to lead its core engineering teams across AI/ML, backend, and platform engineering. You will be responsible for driving the architecture and delivery of impactful AI products, mentoring cross-functional teams, and ensuring high-quality project delivery. Ideal candidates will have substantial experience in software engineering, AI product development, and expertise with cloud technologies. This role promises competitive compensation and opportunities for professional growth.

Qualifications

• 10–15+ years in software engineering with 3–6 years leading engineering teams.
• Strong hands-on background in Python/Java, microservices, distributed systems, and cloud.
• Proven experience in AI/ML product engineering and MLOps.

Responsibilities

• Own technical strategy and architecture for our AI/ML platform.
• Lead and mentor cross-functional engineering teams.
• Ensure on-time, high-quality releases with strong attention to scalability and reliability.

Skills

architecture

NLP

data science

analytics

ML

fintech

Tools

Python

Java

AWS

GCP

Azure

Docker

Kubernetes

Job description

About Us

We are an AI‑driven Fintech building next‑generation intelligence products for global financial institutions. Our proprietary foundation models, deep NLP systems, and scalable ML pipelines power decision‑making for leading investment banks, hedge funds, asset managers, and capital‑market clients. We are backed by leading investors and scaling rapidly. Join us as we build the future of financial AI.

Role Overview

We’re looking for a highly technical Engineering Manager to lead our core engineering teams across AI/ML, backend, and platform engineering. You will drive architecture, execution, and delivery of high‑impact AI products—and directly influence how global financial institutions leverage deep learning and NLP.

What You’ll Do

Technical Leadership

• Own technical strategy and architecture for our AI/ML platform
• Design scalable, distributed systems for model inference, NLP pipelines, and data processing
• Guide engineering decisions across microservices, cloud‑native infra, and model serving
• Introduce engineering best practices, code quality standards, CI/CD automation, and observability

Team Leadership

• Lead & mentor cross‑functional engineering teams (ML, backend, frontend)
• Conduct 1:1s, performance reviews, and build strong engineering culture
• Hire and develop top engineering talent

Product & Delivery

• Own end‑to‑end delivery of engineering projects
• Work closely with Product, Data Science, and Clients to refine requirements and ship features
• Ensure on‑time, high‑quality releases with strong attention to scalability and reliability
• Drive sprint planning, estimation, retros, and engineering KPIs

Innovation

• Champion adoption of new tools, architectures, and workflows
• Work with Data Science to experiment, prototype, and productionize AI/ML capabilities
• Contribute to roadmap planning for foundation models, NLP systems, and analytics products

What We’re Looking For

Must‑Have

• 10–15+ years in software engineering with 3–6 years leading engineering teams
• Strong hands‑on background in Python / Java, microservices, distributed systems, and cloud
• Proven experience in AI/ML product engineering, MLOps, or model‑serving environments
• Expertise with AWS/GCP/Azure, Docker, Kubernetes, CI/CD, and system design
• Experience delivering production‑grade software systems at scale
• Ability to collaborate with senior stakeholders and communicate clearly with technical + non‑technical teams

Nice to Have

• Experience with LLMs, NLP, RAG, deep learning frameworks (PyTorch/TensorFlow)
• Background in Fintech / BFSI / trading / quantitative analytics
• Prior experience in high‑growth startups

Why Join Us

• Build with cutting‑edge AI for global banking and capital markets
• Work with a world‑class engineering + data science team
• Ownership‑first culture, flat structure, and rapid decision cycles
• Competitive compensation, ESOPs, and growth opportunities

Skills: architecture, nlp, data science, analytics, ml, fintech