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AI/ Machine Learning Engineer

aeratechnology · Pune
Full-timeData Science & Machine LearningTechnology$111,000–$150,000/yr
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About the AI Machine Learning Engineer role

AI Machine Learning Engineer positions focus on delivering results in their domain. This page aggregates open AI Machine Learning Engineer roles and what employers typically expect.

Aera Technology is a pioneer in the growing category of Decision Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026 – the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions. Privately-held and VC-funded, we have a global team of over 400 Aeranauts – and we’re growing. We deliver Decision Intelligence innovation and services that enable enterprises to automate and scale decision-making with accuracy and speed. We continue to be the trusted choice of market leaders for our proven ability to generate value and unlock opportunities that were previously unattainable. We are looking for an AI/Machine Learning Engineer to set the technical direction for agentic AI on the Aera Platform. This is a role for someone who has already shipped autonomous agents into production, watched them fail in ways the demo never showed, and built the evaluation and guardrails that made them trustworthy the second time. You will make the architectural calls that the rest of the team builds on — and you will be accountable for them when a recommendation moves a real supply chain. This role will be based in our Pune office.

Salary estimate

$111,000 – $150,000/yr
Provided by the employer.

Skills for this role

RESTMachine LearningAutomation

Resume tips for AI Machine Learning Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show AI Machine Learning Engineer outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical AI Machine Learning Engineer problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About aeratechnology

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