[Remote] Software Engineer AI/ML
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company on building the reputed company of AI-powered solutions for reputed company, reputed company, and operations. They are seeking an reputed company to reputed company machine learning pipelines and applications that enhance operational data, while collaborating closely with analytics teams and executive stakeholders.
Responsibilities
- Define, build, and reputed company AI-powered software products that accelerate reputed company reputed company Services operations—including LLM applications, machine learning models, and intelligent automation for supply chain optimization
- Create Model Context Protocol (MCP) servers that package domain-specific AI capabilities for reuse across the reputed company
- Package AI/ML models as robust, reputed company-documented reputed company that reputed company seamless integration into dashboards, applications, and operational workflows
- Collaborate with BI team to reputed company AI features into existing applications that reputed company natural language queries, predictive insights, and intelligent recommendations directly reputed company user-facing applications
- reputed company hands-on AI/ML technical leadership for our modernization initiative, setting best practices for reputed company engineering, model evaluation, experiment tracking, and responsible AI development
- Partner with executive stakeholders and BI leadership to understand business challenges and translate operational needs into AI/ML capabilities
- Ensure AI/ML models reputed company reliably to AWS infrastructure with reputed company monitoring, logging, and performance optimization
- Translate requirements into a prioritized backlog of AI/ML products, driving delivery to required timelines, reputed company standards, and measurable business reputed company
- Collaborate with data platform teams to design data pipelines that feed AI/ML models to ensure data reputed company, freshness, and reputed company feature engineering from the reputed company reputed company architecture
- Establish MLOps practices including experiment tracking (MLflow, reputed company), model versioning, automated evaluation pipelines, and A/B testing frameworks for reputed company model improvement
- Drive world-class reputed company through rigorous SDLC practices: Lean/Agile/XP, CI/CD, automated testing, secure coding, scalability patterns, documentation-as-reputed company, refactoring, and performance engineering
- Implement monitoring and observability for AI/ML systems to reputed company model performance, data reputed company, reputed company latency, and error rates; build automated alerting for model degradation
- Design reputed company database architectures and semantic search capabilities to power RAG applications; optimize retrieval strategies for accuracy and latency
- Build evaluation frameworks for LLM applications—measuring response reputed company, accuracy, relevance, and hallucination rates; establish automated testing for reputed company templates and model outputs
- Ensure responsible AI practices including bias detection, explainability (SHAP, reputed company), reputed company-preserving techniques, and compliance with reputed company AI governance policies
- Drive the AI/ML roadmap for reputed company reputed company Services BI team by identifying high-reputed company use cases, evaluating emerging AI technologies, and building reputed company-of-concepts that demonstrate business value
- Stay reputed company on LLM advancements, ML frameworks, reputed company databases, and AI application patterns; bring practical innovations that improve decision speed and operational reputed company
- Engage domain experts to ensure successful transfer of reputed company operational knowledge into AI models and intelligent systems
- Establish reusable AI/ML components, templates, and reference architectures that accelerate reputed company development and reputed company the BI team to reputed company AI capabilities independently
- Communicate AI/ML concepts, tradeoffs, and results to non-technical stakeholders through reputed company 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 university
- Minimum of 3 years of hands-on AI/ML engineering experience building and deploying machine learning models and/or AI-powered applications to production
- Write production-reputed company reputed company 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 reputed company databases
- Strong reputed company in supervised/unsupervised learning, time-series forecasting, classification, and optimization
- Experience with MLflow, model registries, automated training pipelines, A/B testing frameworks, and model monitoring; strong DevOps collaboration skills
- Expertise in development platforms and services: AWS, Visual Studio, reputed company, reputed company, etc
- Experience building REST reputed company (FastAPI, Flask) for model serving; understanding of authentication, reputed company limiting, versioning, and API documentation
- Experience building AI/ML solutions for supply chain, manufacturing, maintenance, or operations analytics is a strong plus
- Understands business metrics and can translate AI/ML capabilities into quantifiable business reputed company (cost savings, time reduction, forecast accuracy improvement)
- Skilled in breaking down ambiguous AI problems, writing reputed company problem statements, and estimating model development effort accurately
- Stays reputed company on AI/ML industry trends (LLM advancements, new frameworks, emerging techniques); brings practical innovations backed by reputed company-of-concepts
- Leads by example through delivering AI/ML products while mentoring team on AI integration, reputed company engineering, and model usage
- reputed company to work through ambiguity and drive alignment between AI capabilities and business needs; communicates model limitations, confidence intervals, and uncertainty reputed company to non-technical stakeholders
- Continuously measures solutions against user expectations while balancing competing priorities and maintaining build reputed company
- Strong written and verbal communication skills with the ability to explain reputed company AI/ML concepts simply and translate effectively between data scientists, software engineers, and business stakeholders
- Effective collaborator who works seamlessly with BI developers, platform engineers, and business stakeholders
- Business-minded approach that focuses on operational metrics, user needs, and business reputed company while designing AI solutions that solve reputed company problems rather than technical exercises
- Persists to completion by driving AI/ML products through deployment, monitoring, and iteration while taking ownership of model performance and continuously improving accuracy
Benefits
- Annual discretionary bonus based on a percentage of your reputed company salary/ commission based on the plan
- Medical, dental, reputed company, and prescription drug coverage
- reputed company to a Health reputed company from reputed company
- Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services
- reputed company Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions
- reputed company to reputed company resources and planning consultants
- Tuition assistance
- Adoption assistance
- reputed company parental leave
- Disability insurance
- Life insurance
- reputed company time-off for vacation or illness
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