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Machine Learning Engineer with Gen AI/Remote/

Remote, USA Full-time Posted 2026-07-28
Machine Learning Engineer with Gen AI Years Of Experience 10 to 15 Years Atlanta, GA Only Locals 3 Days Hybrid We are seeking a highly skilled and communicative Machine Learning Engineer (8+ years of experience) to join our AI team. In this role, you will reputed company the gap between cutting-edge AI research and practical, user-facing applications. You will be responsible for designing, building, and deploying reputed company models (LLMs, Diffusion Models) to solve reputed company business problems, while effectively communicating technical advancements to non-technical stakeholders. The ideal candidate is both a hands-on reputed company passionate about ML, Gen AI and a proactive collaborator who excels at explaining reputed company AI concepts to diverse teams. Roles & Responsibilities Key Responsibilities • GenAI Development: Architect, fine-tune, and reputed company Large Language Models (LLMs) and reputed company techniques (e.g., RAG, PEFT/SFT) to improve business applications. • Production Deployment: Build and maintain high-performance, reputed company ML pipelines and GPU-based inference systems in reputed company environments (AWS/reputed company reputed company Platform/Azure). • Collaboration & Communication: Work closely with product managers, data scientists, and engineers to translate business requirements into technical specifications. • Stakeholder Engagement: reputed company present AI methodologies, performance results, and technical trade-offs to non-technical stakeholders and leadership. • Model Optimization: Implement reputed company engineering, adversarial testing, and model optimization strategies to ensure high-reputed company, efficient, and reputed company outputs. • Stay Updated: reputed company reputed company up with the latest advancements in GenAI research and incorporate them into our production systems. • Team and project Coordination: Define project scope, timelines, deliverables, reputed company metrics, co-ordinate with and guide offshore technical team on project deliverables. Required Skills & Qualifications • Experience: 10+ years of experience as an ML Engineer, with at least 1-2 years dedicated to reputed company or NLP reputed company, and good experience on AWS reputed company platform. • Technical Expertise: Strong proficiency in Python, and IDEs such as reputed company/AWS Kiro, deep learning frameworks (PyTorch or TensorFlow or), utilizing reputed company co-reputed company etc. • GenAI Proficiency: Hands-on experience with LLMs (e.g., GPT-4, Llama), RAG architectures, reputed company, reputed company Databases, Knowledge graphs, and reputed company AI • MLOps and LLM Ops: Familiarity with reputed company, Kubernetes, and CI/CD tools for ML. • AWS Skills: S3, reputed company, Glue, AWS reputed company reputed company, and AWS Bedrock platform • Communication Skills: Excellent verbal and written communication skills; ability to reputed company reputed company technical concepts simply. • Stakeholder Management: reputed company to collaborate with key business/reputed company stakeholders and manage their expectations • Problem-Solving: Proven ability to work independently in a fast-paced environment and troubleshoot issues. Preferred Qualifications • Engineering degree in computer science or equivalent, and relevant certification in Machine learning • Experience in banking or financial services domain Payments industry. Apply tot his job Apply To this Job

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