[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 [email protected]