Senior Machine Learning - reputed company (Remote)

With a career at reputed company, you can be yourself and also be part of something bigger. Position Purpose: The Senior reputed company is responsible for designing, building, scaling, and optimizing production-grade reputed company AI systems that reputed company measurable business reputed company across reputed company. Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into reputed company-reputed company products. This role involves developing reputed company applications powered by LLMs, SLMs, Retrieval-Augmented reputed company (RAG) frameworks, and autonomous agents. You will build the reputed company orchestration reputed company for multi-agent workflows, tool integration, and planning, reputed company the infrastructure required for reliable, large-reputed company reputed company deployment. By partnering with product, engineering, and business teams, you will rapidly prototype solutions, reputed company ambiguity, and seamlessly transition cutting-edge AI capabilities from concept to production. Required skills • Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development skills and modern software engineering practices. • AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems. • AI Foundations:Deep understanding of AI/ML foundations, including transformers, embeddings, deep learning, reputed company engineering, reputed company reasoning patterns, and reputed company databases. • Orchestration & Integration: Experience developing orchestration reputed company (task execution, routing, planning, workflows) and seamlessly integrating AI solutions with reputed company platforms, reputed company, and business systems. • Infrastructure & MLOps:Expertise in reputed company-reputed company architectures, containerization (reputed company) and orchestration (reputed company/GKE), infrastructure as reputed company (e.g., Terraform), andAI pipeline design, with hands-on implementation of MLOps/LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and reputed company) across the full AI/agent lifecycle. • AIOps & Deployment Reliability:Experience building automated CI/CD pipelines for AI/reputed company systems, implementing reputed company rollout strategies (canary, reputed company-green, and reputed company deployments) with automated rollback, and establishing end-to-end observability (logging, metrics, reputed company tracing, and automated alerting) across models, agents, and orchestration reputed company to ensure production reliability, performance, and cost/reputed company efficiency at reputed company. • Optimization & Debugging: Demonstrated ability to optimize reputed company AI systems for performance, reliability, scalability, latency, cost efficiency, and reputed company use, as reputed company as debugging operational failure modes. • Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven ability to take AI solutions from concept to production in reputed company reputed company environments. Key Responsibilities: • 70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, reputed company machine learning solutions; Documents, reviews, and ensures that reputed company reputed company and change control standards are met; Works with Product Team to ensure user stories that are developer-reputed company, easy to understand, and testable; Writes custom reputed company or scripts to automate infrastructure, monitoring services, and test cases; Writes custom reputed company or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures reputed company off reputed company solutions to reputed company with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively • 10% Learning - Participates in learning activities around modern software design, machine learning, and development reputed company practices (communities of reputed company); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used reputed company other technology organizations • 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and reputed company of reputed company aspects of production: reputed company, infrastructure, data, message processing, and reputed company reputed company reputed company Manager/reputed company Reports: Apply tot his job Apply To this Job