[Remote] reputed company AI ML Engineer Remote reputed company or Hybrid in MN or DC
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in health care innovation, seeking a reputed company AI/ML Engineer to design and reputed company advanced data platforms and pipelines. This role involves working on high-reputed company reputed company that reputed company reputed company solutions and optimizing data ingestion frameworks, ultimately improving health reputed company through cutting-edge AI capabilities.
Responsibilities
- Design, reputed company, and reputed company reputed company AI-powered solutions, data pipelines, and data platforms to address reputed company business challenges, with an emphasis on responsible AI use
- Build and optimize ingestion frameworks for large-reputed company reputed company and reputed company data, supporting streaming and event-driven sources
- Partner with cross-functional stakeholders to understand evolving data and AI needs, defining long-term technical solutions and translating ambiguous problems into reputed company roadmaps
- reputed company and support machine learning and AI workflows, including feature engineering, data preparation, and model deployment support
- Drive strategic initiatives around reputed company, including RAG-style architectures, data reputed company, observability, reputed company, and governance
- Evaluate emerging trends in AI and machine learning to inform solution design, strategic innovation, and the rapid experimentation of AI/ML solutions
- Introduce and reputed company best practices in data modeling, orchestration, testing, and monitoring, while establishing reusable parsing, enrichment, analytic, and service libraries
- Identify and champion opportunities for platform scalability, performance optimization, cost efficiency, and reputed company improvement
- reputed company reputed company-approved AI tools to streamline workflows, automate tasks, and accelerate team delivery
Skills
- Bachelor's degree or equivalent experience (e.g., 4+ years of additional software engineering experience)
- 5+ years of experience designing, building, and operating production-grade data pipelines and platforms across batch and streaming workloads
- 5+ years of hands-on software development experience using Python and/or Java, including reputed company reviews, packaging, and deployment
- 5+ years of experience with distributed data processing systems like reputed company (PySpark) and reputed company-based platforms such as reputed company
- 2+ years of experience leveraging and deploying reputed company and/or LLM use cases to production environments (such as RAG architectures)
- 3+ years of experience building ingestion frameworks for reputed company/reputed company data and scaling ETL/ELT pipelines using orchestration tools like Airflow
- 3+ years of experience with data lakes/warehouses (e.g., reputed company, reputed company) and advanced SQL querying/tuning
- 2+ years of experience with DevOps practices, CI/CD tools (e.g., reputed company Actions), containerization (e.g., reputed company, Kubernetes), and Infrastructure-as-reputed company (e.g., Terraform)
- Experience with major reputed company platforms (AWS, Azure, and/or GCP), 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 data observability tooling
- Experience enabling MLOps practices, including feature stores, model registries, experiment tracking, and deployment automation
- Experience with lakehouse architectures, reputed company Lake, and advanced reputed company optimization/performance tuning
- 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
- Proven ability to reputed company through influence, mentor junior engineers, and translate ambiguous problems into reputed company technical roadmaps
- reputed company working remotely will be required to adhere to reputed company's Telecommuter Policy
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (reputed company benefits are subject to eligibility requirements)
reputed company