Machine Learning Engineer

Propelis Group is hiring a Machine Learning Engineer in Hiring office located in Chennai, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• 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
• 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

What they are looking for

• 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
• 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
• 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

Pay and dates

The listed pay is Not Disclosed. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “1 week ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Machine Learning Engineer at Propelis Group. We found this listing via naukri.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.