Machine Learning Developer

Propelis Group; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Propelis Group seeks a Senior AI/ML Developer to lead ML engineering initiatives, architect scalable pipelines, and drive production-ready AI solutions.

Responsibilities include leading ML lifecycle from prototyping to deployment, adopting LLMs/VLMs, and mentoring a engineering team to deliver high-impact AI capabilities across the organization.

Qualifications

• 10+ years software/AI-ML leadership experience.
• Experience designing end-to-end ML pipelines for production.
• Strong cloud & MLOps exposure (AWS SageMaker, CI/CD).

Responsibilities

• Architect end-to-end ML pipelines and microservices for production workloads.
• Lead adoption of LLMs, VLMs, and OCR/document intelligence frameworks.
• Containerize services and implement CI/CD for automated tests and deployment.
• Mentor an engineering team and translate business goals into AI roadmaps.

Skills

Python

PyTorch

FastAPI

NumPy

Pandas

PIL

Tools

Hugging Face

Unsloth

PEFT

PyMuPDF

pdfplumber

Camelot

OpenCV

vLLM

llama.cpp

Job description

Position Overview

We are seeking an experienced and vision-driven Senior AI/ML Developer to lead our machine learning engineering initiatives and design scalable, production-ready AI solutions. In this role, you will bridge technical architecture, hands-on development, and team leadership driving end-to-end Machine Learning lifecycles from rapid prototyping and fine-tuning to containerized cloud deployment and monitoring.

Key Responsibilities

Technical Leadership & Architecture

• Architect, design, and implement end-to-end Machine Learning pipelines and microservices for production workloads.
• Lead the adoption of state-of-the-art Large Language Models (LLMs), Vision-Language Models (VLMs), and OCR/Document Intelligence frameworks (e.g., Qwen VL, Gemma variants, PyMuPDF, Docling, OpenCV).
• Standardize core engineering workflows including model quantization, LoRA/PEFT fine-tuning, and multi-adapter serving architectures using vLLM, llama.cpp, and Hugging Face Transformers.

Cloud Infrastructure & MLOps

• Design and manage scalable AWS cloud infrastructure leveraging SageMaker, Lambda, ECS Fargate, S3, ECR, and SQS.
• Containerize microservices using Docker and Docker Compose, establishing robust CI/CD pipelines (GitLab CI/CD, Git) for automated testing and deployment.
• Serve high-performance inference APIs using frameworks like FastAPI and optimized backend engines.

Team Management & Delivery

• Lead and mentor an engineering team , conducting code reviews, technical planning, and sprint delivery.
• Partner with cross-functional stakeholders, product managers, and executive leadership to translate business objectives into high-impact AI capability roadmaps.
• Define technical standards, design patterns, and best practices across model evaluation, security, latency optimization, and cost governance.

Key Qualifications

• Experience: 10+ years of progressive software engineering and AI/ML experience, with demonstrated hands-on leadership as an Architect or Team Lead.
• Core Technical Stack:
  • Languages: Python (PyTorch, FastAPI, NumPy, Pandas, PIL)
  • Frameworks & Tools: Hugging Face, Unsloth, PEFT (QLoRA), PyMuPDF, pdfplumber, Camelot, OpenCV, vLLM, llama.cpp (GGUF)
  • Cloud & DevOps: AWS (SageMaker, ECS Fargate, Lambda, S3, SQS), Docker, Docker Compose, Git, GitLab CI/CD

Preferred Qualifications

• Strong background in computer vision, multimodal document extraction, and LLM fine-tuning techniques.
• Proven track record of architecting cost-effective, low-latency deployment models on cloud infrastructure.
• Excellent technical writing, communication, and cross-functional leadership skills.

Contact: Prabhakar T / [e-mail] / 95977 87835