Machine Learning Engineer

Dexcare Inc is hiring a Machine Learning Engineer in Bengaluru, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• Your primary focus will be Optimize AI, which ingests, structures, and governs complex healthcare scheduling rules and institutional knowledge into a single, verified source of truth
• The core problem is turning large volumes of messy, inconsistent, and constantly changing operational knowledge into structured knowledge that people and AI agents can rely on to make decisions
• This is a hands-on, mid-level role
• You will build, ship, and own production ML and LLM systems, working closely with product, engineering, and data teams
• Our AI products share a common foundation, so you will also work across them, including Mila, our patient-facing agents, as priorities shift
• You will join a well-established team early in the build-out of DexCares AI capabilities, with large health systems already using our products
• If you enjoy taking ML systems from prototype to production and making them accurate, reliable, and fast, we’d love to hear from you
• Build systems that ingest unstructured and inconsistent source material, such as policies, protocols, rules, and spreadsheets, and turn it into structured, versioned, and verified knowledge
• Build extraction, normalization, and validation pipelines using LLMs and classical techniques
• detect conflicts, gaps, and stale information, and route uncertain cases to human review

What they are looking for

• DexCare is looking for a Machine Learning Engineer to build the AI systems behind our products
• 5+ years of experience in machine learning or software engineering, including building and running production ML systems
• Experience building systems that extract, structure, and verify knowledge from unstructured sources, such as documents, policies, or operational data, with measurable accuracy
• Hands-on experience shipping LLM-based agentic systems to production, including orchestration, tool calling, and handling failures with retries and fallbacks
• Experience building retrieval systems and improving their accuracy and latency
• Experience evaluating ML and LLM systems: building eval datasets, defining metrics, and using the results to decide what ships
• Clear communication and the ability to work across product, engineering, and data teams, including across time zones
• and data evolve

Pay and dates

The listed pay is Not Disclosed. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “6 days ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Machine Learning Engineer at Dexcare Inc. We found this listing via naukri.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.