Senior Engineer, AI

Ensemble Global; Hyderabad; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

Ensemble Global in Hyderabad, India is seeking a senior AI/ML engineer to design, build, and improve production AI systems for complex healthcare workflows, including documentation, coding, denial management, and revenue cycle automation.

You will prototype capabilities from 0 to 1, harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, and performance gates.

Qualifications

• 5-10 years of applied AI/ML/engineering experience.
• Proven track record of shipping and operating production systems.
• Experience in healthcare or regulated industries is a plus.

Responsibilities

• Design, build, and improve production AI systems for healthcare workflows.
• Prototype AI capabilities from 0 to 1 and productionize with clear contracts.
• Build evaluation loops using logs, benchmarks, and expert reviews.
• Own outcomes end to end: understand workflow, design, inspect failures, and prove improvements.
• Set technical direction for a portfolio and mentor engineers as a tech lead.
• Collaborate with research, ML engineering, platform, and product teams on model selection and productionalization.

Skills

Applied Research

ML engineering

Research engineering

Software engineering

Applied AI

Production systems

Healthcare domain

Revenue cycle

Regulated industries

Education

Bachelor's degree in CS/Engineering/Math

Advanced degree (MS/PhD) in CS/AI/ML

Tools

TensorFlow / PyTorch

Model deployment tooling

Job description

Roles and Responsibilities:

• Design, build, and continuously improve production AI systems for complex healthcare workflows, including documentation, coding, denial management, appeals, and revenue cycle automation.


• Prototype new AI capabilities from 0 to 1, then harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, and performance gates.


• Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, reliability, cost, and business impact.


• Own outcomes end to end: understand the workflow, design the system, inspect failures, improve the system, and prove that the improvement matters.


• Set technical direction for a portfolio of projects, review designs, and mentor engineers as a technical lead.


• Partner with research, ML engineering, platform, and product teams on model selection, training, infrastructure, and Productionalization.


• Educational Qualifications

Skills Required:

• 5-10 years of Applied Research, ML engineering, research engineering, software engineering, or applied AI experience.


• A track record of shipping and operating production systems, ideally in ambiguous, high-stakes domains.


• Prior experience in healthcare, revenue cycle management, or other regulated industries is a plus, not a requirement.

Education:

• Bachelor's degree in computer science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.


• Master's or PhD in Computer Science, AI/ML, or a related field is a plus.