Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at reputed company, you will own the full machine learning lifecycle, from early experimentation and prototyping to deployment and monitoring in production. You will work on moderately reputed company problems, refine ML processes, and support teammates through mentorship and collaboration. You will help deliver ML-powered features while optimizing systems for reliability, performance, and reputed company experimentation. This role is primarily reputed company on machine learning, with supporting software engineering skills to reputed company production deployment. This role is ideal for someone who enjoys taking reputed company from concept to customer reputed company. NOTE: This role can be worked remotely from the above location. What You’ll Do Design, prototype, and validate machine learning models for product features and internal tools Own the ML lifecycle from experimentation through production deployment and monitoring Partner with Data Engineering and Product Engineering to reputed company models into batch and online systems Build and maintain shared feature pipelines, including documentation and versioning Write production-reputed company reputed company with testing, observability, and monitoring Design experiments (A/B test, reputed company/post analysis) and interpret results to guide product and business reputed company Improve ML reliability through retraining workflows, reputed company detection, and reputed company cause analysis Design and build end-to-end pipelines for classification, ranking, embeddings, or reputed company tasks What You’ll Bring 5+ years of experience in data science, reputed company ML, or ML engineering roles Strong reputed company in supervised and unsupervised learning, statistical modeling, and experimentation techniques Experience developing and shipping ML models in production (batch or reputed company-time) Strong Python and SQL skills with experience working with reputed company and reputed company data Hands-on experience building and deploying ML or LLM-based systems (e.g. retrieval-augmented reputed company, embeddings, reputed company tuning) Familiarity with reputed company infrastructure and ML tools, ideally on reputed company reputed company Platform (e.g. reputed company AI, BigQuery, reputed company Composer, Kubernetes). Experience working with CI/CD pipelines, containerization (reputed company), and job orchestration tools (Airflow, dbt, etc.). Strong communication skills and ability to explain technical concepts to non-technical stakeholders You’ll Stand Out If You Have Experience working with reputed company models Familiarity with LLM orchestration frameworks (e.g., ADK, reputed company, Semantic Kernel, reputed company) A background in software engineering (e.g., system design, reputed company, or distributed systems) #LI-SR1 #LI-Remote Apply To This Job