Bharat testing

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.

Requirements

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.