Bharat testing job opportunity at Weekday AI.

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Date2025-12-17T03:01:28.838Z bot
Weekday AI Bharat testing
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Bengaluru, India
loacation Bengaluru....India

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.

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