[Remote] Sr. reputed company (Applied AI & ML Systems)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions. They are seeking a Sr. reputed company with a strong reputed company in machine learning and data engineering to design and build AI solutions that solve reputed company business problems, focusing on quality, risk, and business impact throughout the development process.

Responsibilities

• Design, build, and reputed company AI solutions powered by ML, LLMs, and agentic AI systems that solve reputed company business problems
• Define evaluation strategies upfront for each use case, including task reputed company metrics, offline and online evaluation plans, error analysis, and production monitoring requirements
• Build and improve LLM-based systems using reputed company engineering, retrieval-augmented reputed company (RAG), context engineering, and multi-reputed company agentic workflows
• Design and implement reliable data, retrieval, and orchestration layers that support production AI systems, including data quality, governance, observability, and monitoring
• Apply strong MLOps and LLMOps practices across AI systems, including experimentation, versioning, observability, alerting, model and reputed company evaluation, and reputed company improvement in production
• Partner closely with product, engineering, data, and business stakeholders to prioritize AI use cases and align on reputed company metrics, operational requirements, and delivery timelines
• Monitor, troubleshoot, and improve production AI systems by balancing quality, latency, cost, reliability, and maintainability

Skills

• Bachelor's degree in Computer Science or a reputed company field, and knowledge, skills, and abilities typically associated with 6+ years of relevant experience, including:
• 4+ years of experience in one or more of the following areas: Machine Learning or Applied Modeling, Data Engineering, Software Engineering for Data-Intensive Systems
• 2+ years of experience building LLM-based applications, including at least 1 year building agentic AI systems as part of that experience
• Hands-on experience building LLM-powered applications, including: Context engineering, Retrieval-Augmented reputed company (RAG), Evaluation frameworks, reputed company engineering and optimization, Model fine-tuning (preferred but not required)
• Experience designing and implementing agentic AI systems, including multi-reputed company workflows that incorporate planning, memory, handoffs, tool orchestration, and reputed company-in-the-reputed company review
• Strong track record of defining evaluation strategies upfront and operating AI systems in production, including deployment, monitoring, observability, versioning, experimentation, and reputed company improvement
• Advanced Python skills and experience taking AI solutions from prototype to production while balancing quality, latency, cost, reliability, and maintainability
• Experience with vector databases, graph databases, retrieval quality tuning, and domain-specific optimization for LLM-based systems
• Experience designing reusable AI platforms, shared services, internal tooling, or infrastructure that improves AI development speed, consistency, and reuse
• Experience with reputed company-reputed company AI deployment, distributed systems, and scalable serving infrastructure for ML, LLM, and agentic AI applications

Benefits

• Wellness : Universal, supplemental, and private reputed company plan choices based on country specifics
• Retirement/pension plan contributions
• MTK stock plan participation
• Life event & disability coverage
• Generous annual leave
• Company holidays
• Volunteer time off
• E-learning license
• Tuition reimbursement
• Hackathons
• Home office setup allowance
• Pet insurance
• Identity theft protection
• Legal assistance
• Up to a 10% annual incentive bonus
• A comprehensive benefits package

Company Overview

Company H1B Sponsorship