Staff Machine Learning Engineer (Bengaluru)

Staff Machine Learning Engineer (Bengaluru)

02 Oct
|
Weekday`
|
Bengaluru

02 Oct

Weekday`

Bengaluru

This role is for one of our clients

Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 10+ years
Location: Bengaluru
JobType: full time

n

n₹80,00,000 - ₹99,00,000 a year

We are seeking a highly experienced Staff Machine Learning Engineer to lead the architecture, development, and scaling of enterprise-grade Machine Learning and Generative AI platforms.

As a senior technical leader, you will drive AI strategy, establish engineering best practices, mentor ML engineers, and collaborate cross-functionally with Product, Engineering, Data, and Business stakeholders to deliver measurable business outcomes. You will play a critical role in shaping our AI roadmap and building intelligent products that impact thousands of businesses globally.

The ideal candidate will have 8+ years of experience building and deploying large-scale ML systems, deep expertise across the full ML lifecycle, and hands-on experience delivering production-grade Generative AI solutions at scale.

Requirements

Key Responsibilities

Technical Leadership





• Define and drive the technical vision for Machine Learning and Generative AI initiatives.

• Lead architecture reviews and establish best practices for scalable AI systems.

• Mentor and guide ML engineers and data scientists across teams.

• Influence product strategy through AI-driven innovation and technical thought leadership.

• Partner with Engineering leadership to build scalable, reliable, and secure AI platforms.

Machine Learning & Data Science

• Design, develop, and deploy large-scale ML solutions in production environments.

• Build advanced predictive models, recommendation systems, forecasting solutions, NLP applications, and deep learning systems.

• Drive the complete machine learning lifecycle:

• Problem definition

• Data acquisition and exploration

• Feature engineering

• Model development

• Model evaluation and validation

• Production deployment

• Monitoring, governance, and continuous

📌 Staff Machine Learning Engineer (Bengaluru)
🏢 Weekday`
📍 Bengaluru

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