• Job ID:

  3761

• Job Title:

  ML engineer with Gen AI

• Location:

  Austin, TX

• Duration:

  6 Months + Extension  

• Hourly Rate:

  Depending on Experience (DOE)

• Work Authorization:

  US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

• Client:

  To Be Discussed Later

• Employment Type:

  W-2, 1099, C2C

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Role: ML engineer with Gen AI
Bill Rate: $62/hour C2C
Location: Austin, TX
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Teams
Direct Client Requirement      

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.

NOTE: Thank you for visiting our jobs page. Please submit your application using the Apply Now link. Our recruitment team is currently reviewing all applications thoroughly. We will be in touch with candidates who are shortlisted for the next stage of the interview process.

Valiant Technologies LLC
166 Geary St
San Francisco, CA 94108
Phone: (415) 935-9966
srinivasa.kandi@valianttec.com

Tags: Srinivasa Reddy Kandi, #SrinivasaReddyKandi, @SrinivasaReddyKandi, Srinivasa Kandi, #SrinivasaKandi, @SrinivasaKandi, Kandi Srinivasa Reddy, #KandiSrinivasaReddy, @KandiSrinivasaReddy 


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