Manager - Machine Learning Engineer (Bengaluru)

As the Machine Learning Manager at Traceable by Harness, you will play a pivotal role in leading and scaling our ML initiatives from prototype to production. You will guide a team of machine learning engineers, and data scientists to design, develop, and deploy high-performing ML solutions that power our core products. This role demands a balance of technical expertise, strategic planning, and people leadership to ensure that our ML models operate reliably, deliver measurable impact, and evolve continuously in production environments.Responsibilities- Lead and grow a high-performing Machine Learning team, providing technical guidance, mentorship, and career development.- Define and execute the ML strategy aligned with Traceable s overall product and business goals.- Oversee the full ML lifecycle - from problem formulation, data acquisition, feature engineering, modeling, training, evaluation, to production deployment and monitoring.- Work closely with Security Research and Engineering teams to incorporate domain-specific knowledge into models for API threat detection, anomaly detection, user behavior modeling, and more.- Ensure models are robust, explainable, and optimized for performance and scalability in production.- Stay abreast of the latest research and industry trends in ML, security, and anomaly detection, bringing innovative techniques to the team.- Collaborate with Product Management to translate customer needs into ML features and capabilities.- Foster a culture of experimentation, engineering excellence, and continuous learningRequirements- 8+ years of experience building and deploying production-grade machine learning systems, with at least 2+ years in a leadership or management capacity.- Proven experience designing and implementing ML solutions for security, anomaly detection, fraud detection, or related fields.- Robust programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).- Deep understanding of data pipelines, feature engineering, model evaluation, and MLOps best practices.- Experience with large-scale data processing and distributed systems.- Ability to work cross-functionally and communicate complex concepts to non-ML stakeholders.- Strong people leadership skills, with a track record of hiring, developing, and retaining top ML talent.Nice-to-Haves- Experience working in API security, application security, or broader cybersecurity domains.- Familiarity with monitoring and observability tools such as Prometheus, Grafana, or building custom solutions for detecting model drift and data quality issues.- Hands-on experience with feature stores, model versioning, and best practices for managing ML assets in production.What We Offer- Competitive salary and benefits package.- A supportive and dynamic work environment with a strong focus on professional growth.- Opportunities to work with state-of-the-art technology and shape the future of API security.Work Location- Bangalore. The successful candidate will be expected to be in the Bangalore office 3x/ week.What You Will Have at Harness- Experience building a transformative product- End-to-end ownership of your projects- Competitive salary- Comprehensive healthcare benefit- Flexible work schedule- Quarterly Harness TGIF-Off / 4 days- Paid Time Off and Parental Leave- Monthly, quarterly, and annual social and team building events- Monthly internet reimbursement- Harness AI Tackles Software Development s Real Bottleneck- After Vibe Coding Comes Vibe Testing (Almost)- Startup Within a Startup: Empowering Intrapreneurs for Scalable Innovation - Jyoti Bansal (Harness)- Jyoti Bansal, Harness the CUBEd Awards- Eight years after selling AppDynamics to Cisco, Jyoti Bansal is pursuing an unusual merger- Harness snags Split.io , as it goes all in on feature flags and experiments- Exclusive:Jyoti Bansal-led Harness has raised $150 million in debt financing.