Data Science and Machine Learning Senior Associate

About the job

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. Job Title: Data Science and Machine Learning Senior Associate Location: Chennai Work Type: Hybrid(4Days WFO) Position Description: Skills Required: • AI/ML, ALGORITHMS, Deeplearning, Python, LLM, CI-CD, API Experience Required: • Senior Associate 5–8+ years of hands-on experience in ML/Deep Learning, with at least 2–3 years in a senior or lead role. • Hands-on experience building solutions using: OCR pipelines (Tesseract, EasyOCR, PaddleOCR, AWS Textract, Google Vision). • Document Layout Models (LayoutLMv3, Donut, Pix2Struct, LiLT, LayoutXLM). • Vision-Language Models (CLIP, BLIP-2, GroundingDINO, LLaVA, Florence-2). • LLM-based extraction using OpenAI, Gemini, Claude, or open-source models (Llama, Qwen, Mistral). • Ability to design end-to-end ML system architecture with: Model orchestration (LLM + OCR + embeddings + prompt pipelines) Preprocessing for images/PDF/PPT/Excel Embedding store, vector DB, or structured extraction systems Async processing queue, job orchestration, microservice design GPU/CPU deployment strategy • Must be strong in scaling ML systems: Batch processing large files Handling concurrency, throughput, latency Model selection, distillation, quantization (GGUF, ONNX) TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Requirements

• AI/ML
• Deeplearning
• Python
• API

Preferred Technologies

• AI/ML
• Deeplearning
• Python
• API

About the company

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family.