Senior ML Engineer

DexCare

. 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 .

Posted 10/16/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing machine learning systems, particularly in extracting and structuring knowledge from unstructured sources. Proficient in MLOps practices and familiar with cloud platforms, ensuring compliance with HIPAA standards in handling sensitive data.

Highest-signal resume keywords

Machine Learning System DevelopmentLLM-Based Agentic SystemsData Extraction and StructuringMLOps PracticesPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSoftware EngineeringData StructuresAlgorithmsTestingCode ReviewAPI DesignEvaluation MetricsRetrieval-Augmented GenerationKnowledge Representation

Soft Skills

Clear CommunicationCollaboration Across TeamsComfort with Ambiguity

Tools & Technologies

AzureAWSLangGraphGoogle ADK

Industry Keywords

HIPAA ComplianceHealthcareRegulated IndustryPatient Data Handling

Tech Stack

Tools & technologies

AWSAzureCloudPython

About the role

Key responsibilities & impact

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
Build and optimize Retrieval-Augmented Generation (RAG) pipelines that provide accurate, grounded, traceable answers with low latency
Build, ship, and maintain agentic system components, including orchestration, tool calling, and state management
Build system evaluations using ground-truth datasets, accuracy metrics, regression tests, LLM-as-judge, human review, and production quality monitoring
Diagnose and improve accuracy, latency, reliability, and cost of production ML systems
Build reusable components across DexCare’s AI products and contribute to other products as priorities shift
Follow ML lifecycle best practices including versioning, deployment, monitoring, and retraining
Handle patient and customer data according to HIPAA and DexCare privacy and security standards
Build the AI systems behind DexCare’s digital care orchestration products, primarily Optimize AI
Work closely with product, engineering, and data teams across DexCare’s AI products

Requirements

What you’ll need

7-9 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 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, including building evaluation datasets, defining metrics, and using results to decide what ships
Strong Python and software engineering fundamentals, including data structures, algorithms, testing, code review, and API design
Familiarity with MLOps practices and at least one major cloud platform
Clear communication and ability to work across product, engineering, and data teams, including across time zones
Comfort working in ambiguous problem spaces where requirements and data evolve
Preferred: Experience with agent frameworks such as LangGraph or Google ADK
Preferred: Experience with Azure / AWS and their ML and AI services
Preferred: Experience with knowledge graphs, rules engines, or other structured knowledge representations
Preferred: Experience with predictive ML or optimization for forecasting, scheduling, ranking, or matching
Preferred: Experience with guardrails, safety classifiers, or red-teaming for LLM applications
Preferred: Experience in healthcare or another regulated industry, including handling PHI under HIPAA

Benefits

Comp & perks

Equal opportunity employment
Reasonable accommodation for applicants with disabilities in line with the Rights of Persons with Disabilities Act, 2016