Data Scientist Applied Ml Engineer Arclogiq Software S Pvt Ltd

## 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. ## Responsibilities - 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. ## Contact Interested candidates can share their updated resume at [email protected].