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Propelis
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Anywhere · Remote · 1-3 Yrs · 3 days ago
1 open role1 posted in 7d1 in 30d
Hiring: Engineering
Job description
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.
Responsibilities
- 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.
- 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.
- 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.
- Experience: 5+ years of progressive software engineering and AI/ML experience, with demonstrated hands-on leadership as an Architect.
- 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
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.
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Job application FAQ
Last updated 29 October 2026
- How do I apply for Machine Learning Developer at Propelis?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Propelis may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Developer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Developer remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Developer role at Propelis?
- This is a mid-level Machine Learning Developer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.