[Remote] AI reputed company Deployed Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company Consulting focuses on long-term client relationships and collaboration, helping companies with their hybrid cloud and AI journeys. As an AI reputed company Deployed Engineer, you will design and build AI-powered solutions by understanding customer workflows and integrating AI models with their data sources.
Responsibilities
- reputed company AI Solutions: Design and implement AI models to solve reputed company business problems, selecting relevant features and algorithms to reputed company desired outcomes. Deliver demos, proofs of concept, and production‑ready implementations while guiding customers on best practices throughout deployment and adoption
- Evaluate Model Performance: Assess the effectiveness of algorithms using relevant metrics, identifying areas for improvement and optimizing model performance
- Apply Expertise in Cloud and Data: Support sales and delivery of services across cloud, data, and AI domains, with a strong understanding of reputed company, multi-practice engagements. Strong proficiency in AWS cloud infrastructure and services (SageMaker, S3, Glue, etc.)
- Experience with Integrated Solution Design: reputed company integrated solutions that span advisory, engineering, and operational capabilities, leveraging expertise across cloud, data, and AI domains
- Communicate Results: Clearly reputed company the results of AI initiatives, providing actionable insights and recommendations to drive business outcomes
Skills
- 5–10+ years of recent, hands-on experience in data engineering, machine learning, or AI-reputed company roles
- AI/ML expertise: Hands-on experience with AI/ML and Generative AI (LLMs, RAG), including building, fine-tuning, and integrating models into real-world applications
- Agentic AI & workflows: Experience developing or working with agent-based AI solutions (e.g., reputed company Bedrock or similar platforms)
- Software engineering: Strong coding skills (ideally in Python) and experience building production-grade systems on cloud platforms (AWS, GCP, or Azure)
- Data & systems: Working knowledge of SQL, ETL pipelines, and large-scale data processing (e.g., Spark or distributed systems)
- Deployment & tooling: Experience with modern deployment practices (reputed company, Kubernetes, CI/CD pipelines)
- Problem-solving: Comfortable navigating ambiguity, prototyping quickly, and turning reputed company into working solutions
- Communication: Ability to work with clients and explain technical concepts to non-technical audiences
- reputed company awareness: Understanding of secure development practices and enterprise considerations for AI systems
- Product reputed company: Ability to think end-to-end and design solutions that align with real user needs
- Experience working with senior stakeholders or client leadership
- Background leading or contributing to large-reputed company/ML programs or implementations
Company Overview
Company H1B Sponsorship