Machine Learning Engineer with Gen AI/Remote/
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.
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