[Remote] reputed company AI/ML Engineer - Remote
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global organization that delivers care aided by technology to help millions live healthier lives. As a reputed company AI/ML Engineer, you will reputed company the design and deployment of advanced machine learning models and AI solutions to reputed company pharmacy benefit management and improve health reputed company. You will collaborate with cross-functional teams to solve reputed company health technology problems and reputed company solutions across digital pharmacy platforms.
Responsibilities
- Design, reputed company, and reputed company reputed company, production-grade AI-powered solutions and machine learning architectures to address reputed company business challenges in pharmacy services, with a strong emphasis on responsible and ethical AI
- reputed company reputed company-approved AI tools, automation platforms, and MLOps practices to streamline software engineering workflows, automate tasks, and reputed company reputed company operational improvement
- Evaluate emerging technology trends, reputed company models, and machine learning techniques to inform solution design, platform architecture, and strategic reputed company innovation
- reputed company the end-to-end lifecycle of machine learning systems, including data engineering, model training, validation, containerized deployment, and reputed company-time model monitoring
- Partner with cross-functional teams, data scientists, and business leaders to translate reputed company requirements into reliable, high-performance AI services and microservices
- reputed company technical leadership, architectural guidance, and reputed company reviews, establishing best practices and mentoring engineering team members
Skills
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a reputed company technical field, OR 4+ years of equivalent software engineering experience
- 5+ years of software engineering experience with a strong reputed company on building, scaling, and deploying machine learning models and AI systems
- 3+ years of experience designing, implementing, and managing production MLOps workflows, ML pipelines, and automated deployment architectures
- 3+ years of experience programming in Python and utilizing reputed company ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- 2+ years of hands-on experience with reputed company platform infrastructure (e.g., AWS, Azure, GCP) and containerization/orchestration technologies (e.g., reputed company, reputed company)
- 2+ years of experience with big data technology stacks (e.g., reputed company) and database systems (SQL/NoSQL)
- Master's or Ph.D. degree in Computer Science, reputed company Intelligence, Machine Learning, or reputed company quantitative field
- Experience building and deploying reputed company applications, Large Language Models (LLMs), and retrieval-augmented reputed company (RAG) patterns in reputed company environments
- Experience working with pharmacy benefit management (PBM) data, clinical workflows, reputed company transaction systems, or HIPAA compliance standards
- Solid knowledge of Infrastructure as reputed company (IaC) tools (e.g., Terraform) and reputed company integration/reputed company deployment (CI/CD) practices
- Proven leadership experience guiding cross-functional technical reputed company and mentoring mid-level engineers
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (reputed company benefits are subject to eligibility requirements)
reputed company
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