Bharat testing

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.

• →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.

• 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.