ML engineer with Gen AI

Cloud Hybrid Technologies LLC; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Cloud Hybrid Technologies LLC is seeking a senior ML Engineer to design, train, and deploy generative AI systems that power our business applications. You will work across product, data science, and engineering to translate requirements into scalable, production-ready solutions.

The role involves building high-performance ML pipelines on AWS, evaluating model trade-offs, and communicating results to leadership.

Qualifications

• 10+ years of experience as an ML Engineer, with 1-2 years in Generative AI or NLP projects, and AWS experience.
• Strong proficiency in Python and in IDEs such as Cursor/AWS Kiro; experience with deep learning frameworks (PyTorch or TensorFlow).
• Hands-on experience with LLMs (GPT-4, Llama), RAG architectures, LangChain, Vector Databases, Knowledge graphs and Agentic AI.

Responsibilities

• GenAI development: Architect, fine-tune, and deploy LLMs and generative AI techniques.
• Production deployment: Build and maintain scalable ML pipelines and GPU inference in AWS/GCP/Azure.
• Collaboration: Translate business requirements into technical specs with product managers, data scientists, and engineers.

Skills

Python

AWS

GenAI

LLMs

PyTorch

TensorFlow

Kubernetes

Docker

CI/CD

GitHub Copilot

LangChain

Vector Databases

Knowledge Graphs

Agentic AI

Communication

Stakeholder Mgmt

Problem Solving

Education

Engineering degree in computer science or equivalent

Machine learning certification

Tools

Cursor/AWS Kiro

Docker

Kubernetes

GitHub Copilot

SageMaker

Bedrock

LangChain

Job description

• GenAI Development:Architect, fine-tune, and deploy Large Language Models (LLMs) and Generative AI techniques (e.g., RAG, PEFT/SFT) to improve business applications.
• Production Deployment:Build and maintain high-performance, scalable ML pipelines and GPU-based inference systems in cloud environments (AWS/GCP/Azure).
• Collaboration & Communication:Work closely with product managers, data scientists, and engineers to translate business requirements into technical specifications.
• Stakeholder Engagement:Clearly present AI methodologies, performance results, and technical trade-offs to non-technical stakeholders and leadership.
• Model Optimization:Implement prompt engineering, adversarial testing, and model optimization strategies to ensure high-quality, efficient, and safe outputs.
• Stay Updated:Actively keep up with the latest advancements in GenAI research and incorporate them into our production systems.
• Team and project Coordination:Define project scope, timelines, deliverables, success 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 Generative AI or NLP projects, and good experience on AWS cloud platform.
• Technical Expertise:Strong proficiency in Python, and IDEs such as Cursor/AWS Kiro, deep learning frameworks (PyTorch or TensorFlow or), utilizing GitHub co-pilot etc.
• GenAI Proficiency:Hands-on experience with LLMs (e.g., GPT-4, Llama), RAG architectures, LangChain, Vector Databases, Knowledge graphs, and Agentic AI
• MLOps and LLM Ops:Familiarity with Docker, Kubernetes, and CI/CD tools for ML.
• AWS Skills:S3, Lambda, Glue, AWS Sage maker, and AWS Bedrock platform
• Communication Skills:Excellentverbal and written communication skills; ability to articulate complex technical concepts simply.
• Stakeholder Management:Able to collaborate with key business/client 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.

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract