Machine Learning Engineering, Senior Specialist

Overview

Serve as the technical lead for a team of engineers building enterprise-scale AI evaluation and platform capabilities, focused on AI/GenAI evaluation harnesses, scalable platform infrastructure, and production AI quality and observability.

What you'll do

• Lead complex model development and deployment pipelines, establishing best practices and driving innovation in data preparation and consumption.
• Integrate and optimize existing complex data and model pipelines in a production environment.
• Identify and diagnose data inconsistencies and errors, document assumptions, and forage to fill data gaps.
• Create self-running artificial intelligence (AI) systems to automate predictive models.
• Lead engineering design for complex batch and real-time data pipelines.
• Partner with data science teams to understand data requirements and perform data discovery for model development.
• Perform detailed analysis of raw data sources for data quality and model development needs.
• Engage with internal stakeholders to understand business processes, develop hypotheses, and translate requirements into an analytic approach.
• Write model monitoring scripts, diagnose root causes of monitoring alerts, triage issues, and coordinate responses to resolve them.
• Serve as a machine learning engineering subject matter expert on cross-functional teams for large strategic initiatives.
• Participate in special projects and perform other duties as assigned.
• Design advanced analytical protocols for mining large-scale datasets to uncover predictive patterns.
• Apply big data modeling techniques across domains such as market intelligence, advertising, and scientific research.
• Explore cutting-edge AI and data science frameworks to develop scalable machine learning architectures.

What you'll need

• Minimum 10 years of experience in machine learning engineering or advanced data science roles.
• Bachelor's degree (B.E./B.Tech) in Computer Science, Data Science, or AI/ML.
• Experience setting technical direction and mentoring engineers on complex AI/ML systems.
• Deep hands-on expertise building AI/GenAI evaluation, benchmarking, and evaluation harnesses.
• Expert Python and strong software/platform engineering fundamentals.
• AWS and cloud-native architecture design and implementation experience.
• Experience building LLM/GenAI systems, observability, monitoring, and production readiness.
• MLOps/LLMOps, CI/CD, APIs, and scalable distributed systems experience.
• Strong communication of technical tradeoffs to cross-functional partners and senior stakeholders.

Nice to have

• Master's degree or Diploma in a relevant technical field.
• Experience in regulated enterprise environments.

Details

• Location: Hyderabad, Telangana at Vanguard India.
• Only qualified external applicants will be considered.
• Hybrid working model for most employees.