Machine Learning Engineer

Data Scientist / Machine Learning Engineer (5–8 Years)

Location:

Time Zone:

Primary Tech Stack:

Experience Required

Must-Have

• 5+Years

  of hands-on experience in ML/Deep Learning, including

  3+ years in a senior or lead role

  .
• Practical experience with OCR pipelines:
• Tesseract, EasyOCR, PaddleOCR, AWS Textract, Google Vision.
• Experience with Document Layout Models:
• LayoutLMv3, Donut, Pix2Struct, LiLT, LayoutXLM.
• Expertise in Vision-Language Models:
• CLIP, BLIP-2, GroundingDINO, LLaVA, Florence-2.
• Strong background in LLM-based extraction using:
• OpenAI, Gemini, Claude, Llama, Qwen, Mistral.
• Proven ability to design

  end-to-end ML system architectures

  , including:
• LLM + OCR + Embedding + Prompt pipelines
• Preprocessing pipelines for multi-format documents
• Vector DBs, embedding stores, structured extraction systems
• Async processing queues, job orchestration, microservices
• GPU/CPU deployment strategy
• Experience scaling ML systems:
• Batch processing large files
• Handling concurrency, throughput, latency
• Model selection, distillation & quantization (GGUF, ONNX)

Preferred Experience

• CI/CD for ML: GitHub Actions, Jenkins
• Model monitoring: latency, drift detection, cost optimization
• Cloud experience (AWS/GCP/Azure), including: SageMaker, Vertex AI, Bedrock (nice to have)
• Ability to choose the right ML approach: fine-tuning, RAG, multimodal, prompting
• Strong problem-solving and end-to-end solution ownership
• Skilled in building PoCs and converting them into production-ready systems
• Ability to estimate feasibility, cost, complexity & timelines for ML solutions

Education

• Required:

  Bachelor’s or Master’s Degree in a relevant field

Mayur Batham

9685308585