Develop, maintain, and optimize Python pipelines for data ingestion, OCR processing, text extraction, cleaning, normalization, and deduplication.
Run and monitor large-scale batch processing jobs, investigate failures, and implement reliable retry and recovery mechanisms.
Build automated quality checks to identify missing or corrupted files, incomplete OCR outputs, duplicate content, formatting issues, and metadata inconsistencies.
Prepare training-ready datasets through filtering, text segmentation, tokenization, and conversion into agreed data formats.
Manage bulk uploads, downloads, and synchronization between local processing environments and Azure storage; verify transfer completeness and data integrity.
We are seeking an experienced Oracle XStore POS Developer with strong expertise in Java development, retail point-of-sale (POS) systems, payment integrations, and AI-enabled software engineering to support and enhance healthcare retail and pharmacy operations.
Responsibilities
Design, develop, customize, and support Oracle XStore POS applications for healthcare and pharmacy operations.
Develop scalable Java-based applications, APIs, and microservices supporting retail and payment workflows.
Integrate Oracle XStore with payment gateways, tokenization platforms, POS devices, and enterprise healthcare systems.
Collaborate with business, pharmacy, clinical, and IT stakeholders to deliver innovative retail solutions.
Analyze business requirements and translate them into technical designs and application enhancements.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Lead the strategic development, implementation, and ongoing management of the organization’s cybersecurity engineering framework, driving zero trust architecture and security initiatives across the enterprise.
Responsibilities
Develop and execute zero trust strategy
Design and implement micro‑segmentation and Zscaler platform
Establish identity‑centric security controls and IAM programs
Deploy data protection solutions (DLP, CASB, encryption)
Implement security configuration baselines and IaC
Requirements
Master's degree in Cybersecurity, Information Security, Information Systems, Computer Science, or related field
Lead complex Digital Assets Treasury initiatives spanning digital asset custody, on-chain settlement, blockchain infrastructure, tokenization, capital markets, and treasury operations.
Compensation
For roles located in the US, the estimated salary range for this position is $149,800.00 to $ 240,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.
Responsibilities
Lead complex Digital Assets Treasury initiatives spanning digital asset custody, on-chain settlement, blockchain infrastructure, tokenization, capital markets, and treasury operations.
Drive programs involving on-chain transaction and funds flows, including how digital assets move between wallets, custodians, blockchain networks, treasury systems, and other financial infrastructure.
Partner with product and engineering teams to assess blockchain architecture, transaction lifecycle, smart-contract and tokenization considerations, Layer 1 / Layer 2 infrastructure, integrations, and operational dependencies relevant to treasury initiatives.
Serve as a key connection point between digital asset, crypto, product, engineering, and treasury teams, translating blockchain and technical concepts into financial and operational implications.
Evaluate digital asset infrastructure and workflows to identify operational risks, technical dependencies, control considerations, scalability issues, and implementation trade-offs.
The AI Engineer will design, develop, and deploy advanced, production-ready AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, agentic AI workflows, and intelligent automation technologies.
Compensation
₹15,00,000 – ₹22,00,000 per year (15–22 LPA), commensurate with experience and technical expertise
Responsibilities
Design, develop, and deploy AI systems, including LLMs, RAG, agentic workflows, and ML/DL solutions.
Select appropriate models and architectures while balancing accuracy, latency, cost, and complexity.
Train and fine-tune models using PyTorch or Keras, including data preparation and evaluation.
Implement and benchmark research methods before adoption.
Build APIs, inference pipelines, and backend integrations.
As a Sr Data Scientist, you will spearhead advanced analytical initiatives that fuse Operations Research, Natural Language Processing, and Deep Learning to unlock actionable insights and drive decision‑making across multiple domains.
Identify commercial opportunities and risks, focusing on driving sales and structuring deals to promote growth
Defend and grow existing account revenue across Core, Commercial & Money Movement, and Value-Added Services
Identify opportunities to expand acceptance in underpenetrated segments to grow market share
Identify opportunities to increase transaction volume through digital commerce, in-app payments, mobile acceptance, embedded finance, and emerging payment technologies
Product Solutions Vice PresidentJPMorgan Chase & Co. · Tampa, US
Senior Cybersecurity ArchitectNextEra Energy · Miami, US+1 more