This role is for one of the Weekday's clients JobType: full-time In this role, you will own the end-to-end execution of machine learning–driven products, from ideation and experimentation to production deployment and continuous improvement. You will work closely with cross-functional stakeholders—including product, design, data, and business teams—to ensure that engineering solutions align with product goals and customer needs. As a leader, you will mentor engineers, set best practices, and foster a culture of innovation, accountability, and high performance. This role requires a strong balance of people management, hands-on technical depth, and product thinking. Key Responsibilities - Lead, mentor, and grow a high-performing engineering team focused on machine learning–enabled products. - Drive the technical roadmap in alignment with product vision, business priorities, and long-term scalability. - Oversee the design, development, and deployment of machine learning models and supporting infrastructure. - Partner closely with product managers to define requirements, success metrics, and delivery timelines. - Ensure high standards of software engineering, including code quality, testing, documentation, and system reliability. - Translate ambiguous business problems into clear technical solutions and execution plans. - Review architectures and designs to ensure performance, security, and scalability. - Establish and improve engineering processes, including agile practices, sprint planning, and delivery tracking. - Collaborate with data science and analytics teams to operationalize models and measure real-world impact. - Act as a bridge between technical teams and leadership, clearly communicating progress, risks, and trade-offs. What Makes You a Great Fit - Proven experience as an Engineering Manager or Tech Lead, with ownership of complex, production-grade systems. - Strong foundation in machine learning concepts, model lifecycle management, and data-driven product development. - Demonstrated ability to work closely with product managers and influence product direction through technical insight. - Experience building and scaling teams, with a passion for mentoring and developing engineers. - Solid understanding of software engineering best practices, system design, and modern development stacks. - Ability to balance strategic thinking with hands-on problem-solving when needed. - Comfortable operating in fast-paced environments with evolving requirements and high ownership. - Excellent communication skills, with the ability to explain complex technical ideas to non-technical stakeholders. - A product mindset—focused not just on building systems, but on delivering measurable value to users and the business.

Bharat testing

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