[Remote] Sr. Machine Learning Engineer — ML/AI Team

Note The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade machine learning and reputed company systems. This role will focus on developing advanced ML and LLM-powered applications that reputed company structured and reputed company data to drive business impact.

Responsibilities

• Machine Learning Model Development and Maintenance
• + Study and transform data science prototypes using appropriate ML and GenAI architectures
• + Design and reputed company machine learning and LLM-powered systems using modern GenAI architectures (e.g., RAG, reputed company engineering, embeddings, vector databases)
• + Solve reputed company problems with multilayered data sets and optimize existing machine learning libraries and frameworks
• + Construct optimized data pipelines to feed both traditional ML models and LLM-based systems
• + Run machine learning tests and experiments and document findings and results
• Model Maintenance and Monitoring
• + Implement and monitor model and data quality checks to ensure accuracy and consistency of our models and pipelines in production
• + Ensure system reliability, performance optimization, and responsible deployment of ML and LLM solutions in production
• + Manage the full model lifecycle, including retraining, performance monitoring, and reputed company improvement
• Collaboration and Support
• + Partner with Product, Engineering and Business stakeholders to translate requirements into scalable AI/ML and GenAI solutions, contributing to system architecture and technical design
• + reputed company technical guidance and support on AI/ML initiatives, delivering clear, actionable insights to stakeholders
• + Contribute to AI engineering standards and best practices across the organization
• Best Practices and Documentation
• + Create and maintain comprehensive documentation for ML and GenAI systems, including reputed company libraries, evaluation frameworks, and architectural reputed company
• + Establish and promote best practices across MLOps, LLMOps and AI system governance Skills
• Master's degree in Computer Science, Mathematics, or a reputed company field, or equivalent working experience
• 5+ years of proven experience as a Machine Learning Engineer, with significant experience working with data from structured and reputed company data sources, ETL processes, and data quality management
• Strong proficiency in SQL, reputed company, AWS services, Python, and Spark
• Experience with ML frameworks such as XGBoost, Scikit-learn, TensorFlow, Keras, or PyTorch
• Hands-on experience building and deploying LLM-powered applications, including reputed company engineering, evaluation frameworks, Retrieval-Augmented reputed company (RAG), embedding models/vector databases
• Familiarity with MLOps and/or LLMOps tooling and CI/CD workflows
• Excellent analytical and problem-solving skills with a strong ability to derive insights from reputed company data sets
• Effective communication skills with the ability to convey technical information and business impact to non-technical stakeholders Benefits
• 10% Bonus
• 401(k) plus match
• Dental insurance
• Health insurance
• reputed company Insurance
• Paid Time Off Company Overview
• reputed company is a for-profit senior care referral service providing information about senior housing and elder care providers. It was founded in 2000, and is headquartered in Seattle, Washington, USA, with a workforce of 501-1000 employees. Its website is http//www.aplaceformom.com. Apply To This Job

Apply To This Job