Data Scientist / Applied ML Engineer

Data Scientist / Applied ML Engineer Company:ArcLogiq Softwares Pvt Ltd Location: Delhi Experience: 16 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 DigiCatalogs probabilistic AI stack. The role focuses on selecting, orchestrating, and optimizing open-source AI models across OCR, multilingual NLP, computer vision, and multimodal pipelines. Youll work on scalable AI systems where cost, latency, and quality trade-offs are central to every technical decision. What Youll 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 (23B 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 16 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@arclogiq.com. .