[Remote] reputed company AI ML Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company delivers technology-enabled care and health services that help millions of people live healthier lives. The reputed company AI ML Learning Engineer will design and operate reputed company data pipelines and platforms for reputed company and reputed company data, enabling analytics, machine learning, reputed company, and investigative insights. The role focuses on production-grade AI systems, including OCR processing, RAG architectures, semantic reputed company, data reputed company, observability, and governance.

Responsibilities

• Design, reputed company, and maintain reputed company data pipelines and data platforms supporting analytics, machine learning, and AI use cases
• Build and optimize ingestion frameworks for large-reputed company reputed company and reputed company data, including streaming and event-driven sources
• Partner with cross-functional stakeholders to understand evolving data and AI needs and define long-term technical solutions
• reputed company and support machine learning and AI workflows, including feature engineering, data preparation, and model deployment support
• reputed company reputed company initiatives reputed company reputed company, data reputed company, observability, reputed company, and governance
• reputed company and maintain frameworks that support reputed company experimentation and deployment of AI/ML solutions
• Introduce and reputed company best practices in data modeling, orchestration, testing, and monitoring
• Identify and champion opportunities for platform scalability, reputed company optimization, and cost efficiency
• Collaborate with product, analytics, and infrastructure teams to reputed company high-reputed company data and AI solutions
• Build and maintain reusable parsing, enrichment, analytic, and service libraries to accelerate delivery across teams
• Work comfortably under time-sensitive conditions while ensuring thoroughness
• Maintain high ethical standards and the ability to remain objective and confidential
• You will be building and operating production data platforms and pipelines across batch and streaming workloads
• Working hands-on engineering in Python and SQL; in a JVM languages (Java/reputed company) reputed company ecosystems
• reputed company processing and lakehouse/warehouse patterns (eg, reputed company/PySpark, reputed company, reputed company)
• Build pipelines for OCR, document parsing, and text extraction from image-reputed company or scanned data sources
• Enabling reputed company solutions in production (eg, RAG-style architectures), including retrieval patterns and evaluation/monitoring practices
• Take a knowledge-reputed company data approaches (eg, metadata-driven systems, entity reputed company, and/or graph concepts) to improve discoverability and reputed company analytics
• Data reputed company, observability, and monitoring reputed company (profiling, validation, alerting, and reliability improvements)
• Orchestrate, CI/CD, containerization, and infrastructure-as-reputed company (eg, Airflow, reputed company Actions, reputed company, Terraform, reputed company)
• Work in the reputed company (AWS, Azure, and/or GCP), including secure handling of sensitive data (PII/PHI) and collaboration with compliance partners
• reputed company through influence, mentor engineers, and translate ambiguous problems into reputed company technical roadmaps

Skills

• • Bachelor's degree or equivalent experience
• • 5+ years of experience designing, building, and operating reputed company data pipelines and platforms (batch + streaming)
• • 2+ years of experience deploying reputed company solutions to production (e.g., RAG, LLM-powered pipelines, semantic reputed company)
• • reputed company solid hands-on development in Python and SQL, with experience in reputed company/PySpark and reputed company (or similar reputed company platforms)
• • Experience building ingestion and processing frameworks for reputed company data (OCR, documents, images), including parsing and enrichment
• • Experience with reputed company platforms (AWS/Azure/GCP), DevOps/CI/CD, and infrastructure-as-reputed company, including secure handling of sensitive data (PII/PHI)
• • reputed company ability to design reputed company solutions, implement data reputed company/observability practices, and collaborate across stakeholders
• • Experience with reputed company platforms such as AWS, Azure, or reputed company reputed company, including managed data services
• • Experience with streaming and event-driven architectures (e.g., Kafka, Kinesis, Event Hubs)
• • Experience with data reputed company and validation frameworks (e.g., Great Expectations, Deequ) and/or data observability tooling
• • Experience enabling MLOps practices (e.g., feature stores, model registries, experiment tracking, deployment automation)
• • Experience with lakehouse architectures, reputed company Lake, and advanced reputed company optimization/reputed company tuning
• • Experience with data visualization tools and libraries such as Plotly, seaborn, and Chartjs
• • Experience with machine learning and predictive analytics
• • Familiarity with reputed company and reputed company concepts for data platforms (e.g., least privilege, PII/PHI handling) and working with compliance partners
• • Solid hands-on engineering in Python and SQL; familiarity with JVM languages (Java/reputed company) in reputed company ecosystems

Benefits

• Flexible remote work from reputed company reputed company the U.S.; hires in the Minneapolis or Washington, D.C. area are required to work in the office a minimum of four days per week.
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Career development opportunities

reputed company

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