Job Title: Director, Machine LearningLocation: Bengaluru, IndiaExperience: 9+ years in Machine Learning, including 3+ years of leadership experience (managing teams of 7+ members)Compensation: Open for the right candidateAbout the CompanyOur 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 SummaryAs 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 ResponsibilitiesLead 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 QualificationsEducation: Bachelor's/Masters/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, SQSMLOps & Workflow Orchestration: MLflow, Kubeflow, AirflowCloud Platforms: AWS, Google Cloud, AzureContainerization & Deployment: Docker, KubernetesBig Data & Processing: Apache Spark, KafkaDatabases: Elasticsearch, MongoDB, PostgreSQLMonitoring & Observability: Grafana, PrometheusWhat Were Looking ForProven 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!