Data Scientist / Applied ML Engineer ArcLogiq Software's Pvt Ltd

Overview

Data Scientist / Applied ML Engineer

Company: ArcLogiq Softwares Pvt Ltd

Location: Delhi
Experience: 4–6 Years
Salary: Up to ₹10 LPA
Timing: IST

About the Role

ArcLogiq Softwares Pvt Ltd is hiring a Data Scientist / Applied ML Engineer to build and optimize DigiCatalog’s probabilistic AI stack. The role focuses on selecting, orchestrating, and optimizing open-source AI models across OCR, multilingual NLP, computer vision, and multimodal pipelines.

You’ll work on scalable AI systems where cost, latency, and quality trade-offs are central to every technical decision.

What You’ll Do

• Select and orchestrate open-source models based on use-case fit instead of defaulting to large LLMs.

• Build OCR pipelines using:

  • DocTR
  • PaddleOCR
  • TrOCR-class models

• Develop image attribute extraction systems using:

  • Grounding DINO
  • OWL-ViT
  • CLIP
  • Small VLMs (2–3B class)

• Work on image enhancement and generation using:

  • Real-ESRGAN
  • SDXL-Turbo class models

• Build Indic and multilingual AI workflows using:

  • IndicTrans2
  • NLLB
  • IndicWhisper

• Create automated evaluation pipelines and regression systems for:

  • OCR CER/WER
  • Attribute F1
  • Hallucination rates
  • Language-specific performance slices

• Perform error analysis, calibration, threshold tuning, ensembling, and post-processing.

• Optimize ML systems across edge and cloud deployments for cost, latency, and quality.

Requirements

• 4–6 years of experience in Applied ML, CV, NLP, or Multimodal AI.
• Strong hands-on expertise with OCR, CV, NLP, and open-source AI ecosystems.
• Experience building production-grade ML pipelines and evaluation systems.
• Strong Python and ML engineering skills.
• Familiarity with inference optimization and model benchmarking.
• Ability to quickly productionize open-source research and new models.

Nice to Have

• Experience with edge AI deployments.
• Knowledge of vector search and embeddings.
• Familiarity with GPU optimization and distributed inference pipelines.
• Strong experimentation and research mindset.

Hiring Process

• Screening Round 1: Online assessment on Chaideep AI
• Screening Round 2: Technical Interview
• Screening Round 3: Final Discussion Managerial Round

Why Join Us

• Build cutting-edge multimodal AI systems.
• Work on real-world AI deployment challenges at scale.
• Ownership-driven and fast-paced engineering culture.
• Opportunity to ship impactful AI products rapidly.

Apply Now

Interested candidates can share their updated resume at rahul@arcogiq.com.