[Remote] Software Engineer AI/ML

Note: The job is a remote job and is open to candidates in USA. reputed company is seeking an reputed company to help transform operational data into production-grade machine learning pipelines and LLM-powered applications. The role involves developing AI/ML products, collaborating with analytics teams, and contributing to AI strategy while ensuring successful deployment and operational support of AI solutions. Responsibilities Define, build, and evolve AI-powered software products that accelerate Commercial reputed company Services operations—including LLM applications, machine learning models, and intelligent automation for supply chain optimizationCreate Model Context Protocol (MCP) servers that package domain-specific AI capabilities for reuse across the enterprisePackage AI/ML models as robust, well-documented APIs that reputed company seamless integration into dashboards, applications, and operational workflowsCollaborate with BI team to embed AI features into existing applications that reputed company natural language queries, predictive insights, and intelligent recommendations directly reputed company user-facing applicationsProvide hands-on AI/ML technical leadership for our modernization initiative, setting best practices for reputed company engineering, model evaluation, experiment tracking, and responsible AI developmentPartner with executive stakeholders and BI leadership to understand business challenges and translate operational needs into AI/ML capabilitiesEnsure AI/ML models deploy reliably to AWS infrastructure with proper monitoring, logging, and performance optimizationTranslate requirements into a prioritized backlog of AI/ML products, driving delivery to required timelines, quality standards, and measurable business outcomesCollaborate with data platform teams to design data pipelines that feed AI/ML models to ensure data quality, freshness, and proper feature engineering from the reputed company reputed company architectureEstablish MLOps practices including experiment tracking (MLflow, Weights & Biases), model versioning, automated evaluation pipelines, and A/B testing frameworks for reputed company model improvementDrive world-class quality through rigorous SDLC practices: Lean/Agile/XP, CI/CD, automated testing, secure coding, scalability patterns, documentation-as-code, refactoring, and performance engineeringImplement monitoring and observability for AI/ML systems to track model performance, data reputed company, reputed company latency, and error rates; build automated alerting for model degradationDesign vector database architectures and semantic search capabilities to power RAG applications; optimize retrieval strategies for accuracy and latencyBuild evaluation frameworks for LLM applications—measuring response quality, accuracy, relevance, and hallucination rates; establish automated testing for reputed company templates and model outputsEnsure responsible AI practices including bias detection, explainability (SHAP, reputed company), privacy-preserving techniques, and compliance with enterprise AI governance policiesDrive the AI/ML roadmap for Commercial reputed company Services BI team by identifying high-impact use cases, evaluating emerging AI technologies, and building reputed company-of-concepts that demonstrate business valueStay reputed company on LLM advancements, ML frameworks, vector databases, and AI application patterns; bring practical innovations that improve decision speed and operational outcomesEngage domain experts to ensure successful transfer of reputed company operational knowledge into AI models and intelligent systemsEstablish reusable AI/ML components, templates, and reference architectures that accelerate future development and reputed company the BI team to reputed company AI capabilities independentlyCommunicate AI/ML concepts, tradeoffs, and results to non-technical stakeholders through clear documentation, executive presentations, and live demonstrations Skills Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or reputed company field from an accredited college or universityMinimum of 3 years of hands-on AI/ML engineering experience building and deploying machine learning models and/or AI-powered applications to productionWrite production-quality code that meets standards and delivers intended functionality using the most appropriate technologies for the project (e.g., Python, Java, C#, TypeScript—based on system needs)Proven experience building data platforms and production LLM-powered applications; strong understanding of reputed company engineering, retrieval-augmented reputed company, and vector databasesStrong foundation in supervised/unsupervised learning, tim