4TJU3TZ3 Data Scientist / Applied Machine Learning Engineer

Hello, Greetings from Zettamine Labs! We are currently hiring for the position of Applied AI / Multimodal AI Engineer and are looking for immediate joiners with expertise in Machine Learning, Computer Vision, NLP, OCR, and Vision-Language Models (VLMs).

Position: Applied AI / Multimodal AI Engineer

Experience: 5+ Years

Location: Delhi

Notice Period: Immediate Joiners Preferred Job Description

Key Responsibilities

Design, develop, and deploy end-to-end Machine Learning, Computer Vision, NLP, and Multimodal AI solutions using modern open-source technologies.

Build AI pipelines for

OCR and document understanding

Image attribute extraction

Image enhancement

Image generation

Multilingual language processing

Develop automated model evaluation frameworks using metrics such as

OCR CER/WER

Attribute F1 Score

Hallucination Rate

Regression Testing

Perform benchmarking, error analysis, model calibration, and optimization to continuously improve AI model performance.

Optimize models for accuracy, scalability, latency, and cost across cloud and edge environments using:

Threshold tuning

Calibration

Ensembling

Post-processing techniques

Collaborate with Product Managers, Data Engineers, and cross-functional teams to evaluate emerging AI technologies and deliver production-ready AI solutions.

Mandatory

Requirements

5+ years of hands-on experience in Applied Machine Learning, Computer Vision, NLP, or Multimodal AI.

Strong proficiency in Python and ML frameworks such as PyTorch and TensorFlow.

Hands-on experience with OCR technologies

DocTR

PaddleOCR

TrOCR

Experience working with Vision-Language Models (VLMs)

Grounding DINO

OWL-ViT

CLIP

Experience with multilingual AI models

IndicTrans2

NLLB

IndicWhisper

Strong expertise in model evaluation, benchmarking, regression testing, error analysis, model optimization, and performance tuning.

Experience with Git, Docker, REST APIs, and deployment of AI/ML solutions in production environments.

Preferred

Skills

Experience with cloud platforms (AWS, Azure, or GCP).

Knowledge of MLOps and model monitoring frameworks.

Experience with scalable AI system design and deployment. Interested candidates can share their updated resume at hidden_email .