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Sr. Machine Learning Engineer ML/AI Team
- New York, New York, United States
- New York, New York, United States
Über
Design and develop machine learning and LLM-powered systems using modern GenAI architectures (e.g., RAG, prompt engineering, embeddings, vector databases).
Solve complex 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 continuous 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.
Provide 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 prompt libraries, evaluation frameworks, and architectural decisions.
Establish and promote best practices across MLOps, LLMOps and AI system governance.
Qualifications Required Skills & Competencies: Master’s degree in Computer Science, Mathematics, or a related field, or equivalent working experience.5+ years of proven experience as a Machine Learning Engineer, with significant experience working with data from structured and unstructured data sources, ETL processes, and data quality management.
Strong proficiency in SQL, Databricks, 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 prompt engineering, evaluation frameworks, Retrieval-Augmented Generation (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 complex data sets.
Effective communication skills with the ability to convey technical information and business impact to non-technical stakeholders.
Compensation: Base Salary: $120,000 to $135,000 + 10% Bonus
Benefits: 401(k) plus match
Dental insurance
Health insurance
Vision Insurance
Paid Time Off
#LI-KT1 #LI-REMOTE About A Place for Mom A Place for Mom is the leading platform guiding families through every stage of the aging journey. Together, we simplify the senior care search with free, personalized support — connecting caregivers and their loved ones to vetted providers from our network of 15,000+ senior living communities and home care agencies. Since 2000, our teams have helped millions of families find care that fits their needs. Behind every referral and resource is a shared goal: to help families focus on what matters most — their love for each other. We’re proud to be a mission-driven company where every role contributes to improving lives. Caring isn’t just a core value — it’s who we are. Whether you’re supporting families directly or driving innovation behind the scenes, your work at A Place for Mom makes a real difference. Our employees live the company values every day: Mission Over Me : We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
Do Hard Things : We are energized by solving challenging problems and see it as an opportunity to grow.
Drive Outcomes as a Team : We each own the outcome but can only achieve it as a team.
Win The Right Way : We see organizational integrity as the foundation for how we operate.
Embrace Change : We innovate and constantly evolve.
Additional Information: A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process, such as your social security number; send you any unsolicited job offers or employment contracts; require any fees, payments, or access to financial accounts; and/or extend an offer without conducting an interview. If you suspect you are being scammed or have been scammed online, you may report the crime to the Federal Bureau of Investigation and obtain more information regarding online scams at the Federal Trade Commission. All your information will be kept confidential according to EEO guidelines. A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify .
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