Director – Machine Learning Engineering – Bengaluru (On-site) – SaaS Product Company

Director – Machine Learning Engineering – Bengaluru (On-site) – SaaS Product Company

Job Description

Director – Machine Learning Engineering – Bengaluru (On-site) – SaaS Product Company | Budget: Upto 1.8 Cr + ESOPs

Experience: 14–18 years
Team Size to Manage: 10–15 Engineers (ICs and Leads)

Required Skills & Experience:

-Bachelor’s, Master’s, or Ph.D. in Data Science, Mathematics, Operations Research, Applied Mathematics, Computational Science, or a related field.

-Strong foundation in probability, statistics, and scientific problem-solving.
-Strong expertise in Machine Learning, MLOps, and Model Deployment
-Deep hands-on experience with Java/Python, TensorFlow/PyTorch, Apache Spark, Kafka, and Cloud Platforms (AWS/GCP/Azure)
- Experience managing large-scale SaaS platforms, production systems and distributed computing environments with a focus on scalability and performance.
-Strong backend architecture knowledge: Microservices, Data Pipelines, Rest APIs
-Experience managing customer-facing AI products

Role and Responsibilities:
-Lead and scale a high-performing ML Engineering team
-Guide product development from concept to deployment
-Design scalable ML architectures and drive delivery of AI solutions
-Collaborate with cross-functional teams – Product, Design, Data Science, and Business
-Act as the technical leader and key decision-maker for AI/ML products
-Own MLOps pipeline and production readiness of ML models


Preference will be given to candidates from product-based companies due to the nature of the role.



Preferred Background: Experience in SaaS, Enterprise Products, Consumer Internet, or high-growth startups is a strong plus.

Send your profile to hr@talentnexa.in