ML engineer with Gen AI

Cloud Analytics Technologies, LLC; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm located in Austin, Texas is seeking a qualified Machine Learning Engineer. This role involves architecting and deploying Large Language Models and building high-performance ML pipelines. Candidates should possess over 10 years of experience in ML Engineering, with proficiency in Python and AWS, and strong communication skills. The position offers a dynamic environment and opportunities for professional growth in the field of Generative AI.

Qualifications

• 10+ years of experience as an ML Engineer.
• Strong proficiency in Python and relevant IDEs.
• Hands-on experience with LLMs and RAG architectures.
• Familiarity with Docker, Kubernetes, and CI/CD tools.

Responsibilities

• Architect and deploy Large Language Models (LLMs).
• Build and maintain high-performance ML pipelines.
• Work closely with product managers and engineers.
• Present AI methodologies to non-technical stakeholders.
• Implement model optimization strategies.
• Stay updated on advancements in GenAI research.

Skills

ML Engineering

Generative AI

Python

Stakeholder Management

Problem-Solving

Excellent Communication

Education

Engineering degree in computer science

Tools

AWS

Docker

Kubernetes

PyTorch

TensorFlow

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:Excellent verbal 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 ANALYTICS TECHNOLOGIES LLC 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 ANALYTICS TECHNOLOGIES LLC 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 ANALYTICS TECHNOLOGIES LLC 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

Equal Opportunity Employer

CLOUD ANALYTICS TECHNOLOGIES LLC 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 ANALYTICS TECHNOLOGIES LLC 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 ANALYTICS TECHNOLOGIES LLC 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

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