Director, Machine Learning
7 days ago
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 company's 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/Master's/PhD in Computer Science, Data Science, AI, or related fields.
Technical SkillsProgramming: 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 We're 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 for a quick discussion
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