Job Title: Director, Machine Learning

Location: Bengaluru, India

Experience: 9+ years in Machine Learning, including 3+ years of leadership experience (managing teams of 7+ members)

Compensation: Open for the right candidate

About the Company

Our client is a US-based B2B SaaS Product Company with 4000+ employees. They are at the forefront of AI-driven innovation, building scalable machine learning solutions that power intelligent decision-making.

Role Summary

As the Director of Machine Learning, you will lead a team of ML engineers and data scientists to develop, deploy, and optimize AI/ML solutions at scale. You will be responsible for shaping the companys ML strategy, ensuring best practices in MLOps, and integrating AI-driven insights into enterprise products.

Key Responsibilities

Lead and mentor a team of ML Engineers & Data Scientists to build production-grade ML solutions.

Design and deploy ML models for batch, streaming, and real-time processing.

Establish best practices in MLOps, model monitoring, and CI/CD automation.

Work closely with Product, Engineering, and Data teams to embed AI into SaaS applications.

Optimize ML pipelines for scalability, reliability, and performance.

Keep up with the latest advancements in AI, ML, and distributed computing.

Key Qualifications

Education: Bachelor's/Masters/PhD in Computer Science, Data Science, AI, or related fields.

Technical Skills

Programming: Proficient in Python for ML development; experience with Java/Scala for production systems.

Machine Learning & AI: Deep expertise in supervised/unsupervised learning, NLP, deep learning, and real-time ML applications.

Messaging Queues: Kafka, SQS

MLOps & Workflow Orchestration: MLflow, Kubeflow, Airflow

Cloud Platforms: AWS, Google Cloud, Azure

Containerization & Deployment: Docker, Kubernetes

Big Data & Processing: Apache Spark, Kafka

Databases: Elasticsearch, MongoDB, PostgreSQL

Monitoring & Observability: Grafana, Prometheus

What Were Looking For

Proven leadership experience managing high-performing ML teams.

Strong problem-solving & analytical mindset.

Ability to communicate complex ML concepts to both technical and non-technical audiences.

Hands-on experience in building, scaling, and deploying AI-driven products.

Why Join Us

Work with cutting-edge AI/ML technologies in a fast-growing SaaS environment.

Lead a high-impact ML team in a global organization.

Competitive compensation and benefits.

Interested Send your resume to [HIDDEN TEXT] for a quick discussion!