484 Tokenization Jobs - Page 4

As a Blockchain Developer with a minimum of 5 years of experience, you will be responsible for designing and developing blockchain-based solutions that meet the requirements of the business. Your expertise in Blockchain and Blockchain Networks such as Hyperledger Fabric, Stellar, and Solana will be crucial for this role. Your proficiency in Golang, with at least 4 years of experience, will enable you to develop and optimize smart contracts and decentralized applications effectively. Hands-on experience with NoSQL databases like CouchDB, Cassandra, or DynamoDB is preferred, along with familiarity with CI/CD tools and processes such as Docker, Kubernetes, Jenkins, and GIT. Your key responsibilities will include collaborating with cross-functional teams to deliver high-quality solutions, implementing security best practices across blockchain solutions, and analyzing and enhancing blockchain network performance. Your strong understanding of cryptography, resource optimization, and data clustering will be valuable in this role. Moreover, your project knowledge in Crypto Exchange platforms, Smart Contract Development, Tokenization, and NFT projects will further enhance your ability to contribute effectively to the development and optimization of blockchain solutions.,

You will be joining our team in Etawah, Uttar Pradesh as a Technology Leader with at least 5 years of experience in a full-time capacity. As a part of the Technology department, your role will encompass various responsibilities that are crucial to the success of our organization. Your primary responsibility will be to provide technology leadership by defining and implementing the tech vision and roadmap that aligns with our business objectives in the PG domain. You will be tasked with overseeing the architecture and scalability of the entire PG stack, including APIs, backend, database, integrations, and dashboards. Additionally, you will lead engineering teams working on backend development, DevOps, and security. In terms of product and platform development, you will be responsible for optimizing system performance and transaction success ratios. You will also lead the integration efforts with banks (Acquiring, Issuing), NPCI, VISA/Mastercard, UPI TPAPs, and other PG players, ensuring smooth UAT, certification, and production deployments. Compliance and security will be another crucial aspect of your role, where you will need to ensure PCI-DSS compliance, secure key vault management, tokenization, and fraud monitoring. Collaboration with the InfoSec and compliance teams will be essential in this regard. Team and process management will also fall under your purview, where you will be expected to build and mentor a high-performing tech team and implement best practices in software development such as CI/CD, code reviews, and agile processes. To excel in this role, you should possess hands-on expertise in Java, Node.js, or Go, along with experience in RESTful APIs, microservices, Kafka/RabbitMQ, and SQL/NoSQL databases. Knowledge of PCI-DSS, tokenization, and secure infrastructure architecture will be crucial. Your ability to collaborate with cross-functional teams including Product, Compliance, Operations, and Partner Banks will be highly valued. While not mandatory, previous experience in scaling fintech infrastructure to handle millions of transactions per day, exposure to cross-border PG, Nodal/escrow account flows, real-time settlement, DevSecOps, and cloud-native deployments (AWS, GCP) would be advantageous. Joining our team will place you at the forefront of fintech innovation, working on large-scale, mission-critical systems alongside a passionate and experienced team, with competitive compensation to match your skills and expertise.,

As the Lead Security Engineer, you will play a pivotal role in ensuring the confidentiality, integrity, and availability of sensitive data across our systems. Your primary responsibility will involve leading the data security strategy and execution to mitigate risks and protect our data from evolving cyber threats. Collaboration with cross-functional teams, including engineering, compliance, and operations, will be essential to implement best practices for data protection and compliance with industry regulations such as GDPR, CCPA, PCI-DSS, and others. Your key responsibilities will include developing and executing a comprehensive data security strategy aligned with the company's business objectives and regulatory requirements. You will design and implement robust data protection frameworks encompassing encryption, data masking, tokenization, and data loss prevention (DLP) systems. Regular risk assessments will be conducted to identify data vulnerabilities, and appropriate mitigation strategies will be recommended and implemented to safeguard sensitive financial data. You will also ensure compliance with all applicable data security regulations and standards, manage audits and assessments, and lead efforts in investigating and responding to data security incidents. Collaboration with product, engineering, and IT teams will be necessary to integrate security best practices into the software development lifecycle (SDLC) and cloud infrastructure. You will design secure data architectures supporting scalable, high-performance systems while minimizing exposure to data breaches. Additionally, you will lead, mentor, and grow a team of data security engineers, fostering a culture of continuous learning and improvement. Security awareness training will be provided to internal teams, educating them on the latest data security threats, trends, and best practices. Assessing third-party vendors" security posture and collaborating on securing data exchanges with partners and clients will also be part of your responsibilities. Implementing monitoring systems to detect data security threats and providing regular reporting on the organization's data security posture to senior leadership is crucial. Qualifications: - Experience: 7+ years of experience in data security, with at least 3 years in a leadership or senior role within a fintech or similar regulated environment. - Technical Expertise: Strong knowledge of data encryption technologies, cloud security (AWS, Azure, GCP), data loss prevention (DLP), identity and access management (IAM), and security protocols (e.g., TLS, VPNs). - Regulatory Knowledge: In-depth understanding of data security regulations and standards (GDPR, CCPA, PCI-DSS, SOC 2, etc.) and experience leading compliance efforts. - Risk Management: Proven experience conducting risk assessments, threat modeling, and implementing mitigation strategies in a highly regulated environment. - Incident Response: Hands-on experience leading data breach investigations and managing data security incidents from identification to resolution. - Leadership Skills: Strong leadership, mentoring, and team-building capabilities, with a proven ability to drive cross-functional collaboration. - Problem-Solving & Analytical Thinking: Excellent analytical and troubleshooting skills with a strong attention to detail. - Certifications: CISSP, CISM, CISA, or other relevant certifications are highly desirable. Preferred Qualifications: - Experience with DevSecOps practices, security automation, and CI/CD pipeline integration. - Familiarity with advanced threat detection technologies like SIEM, EDR, and SOAR platforms,

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About The Job We’re currently looking for a Senior QA Engineer to join our team. The position is 100% remote and available to anyone self-driven, and, with the experience and capacity to contribute to our vision. If you get excited about being in an industry that is breaking new ground and have confidence you can conquer the most challenging feats we'll encounter, we want to talk to you. Join us, and help lay the foundation for a decentralized future. Responsibilities Work across teams & with customers to investigate and diagnose issues. Creating and maintaining test plans. Continuously analyze working processes, suggest and implement improvements. Document issues in our bug-tracking software, while communicating the issue effectively. Work with developers to help them understand, debug, and reproduce issues. Help us improve our test automation framework and expand its coverage. Assist with manual / regression testing & bug fix verification. Monitor information channels to detect and report emergent issues. Provide non-functional quality feedback such as performance & UI/UX improvements. At least 4 years of experience in a Software Quality Assurance field. Experience with Mobile App Testing. Experience using an automated testing framework for Mobile App Testing. Flexibility and having the willingness to tackle issues whenever they arise.. A self-driven and proactive personality is essential – You will be given significant autonomy to tackle the challenges you’re given. A strong drive to learn – our products are complex, so an inquisitive nature, and a strong desire to acquire information is critical. A strong drive to experiment and discover knowledge independently, but also not afraid to ask questions where needed. Understanding of the foundations of website development is important, such as distinguishing between client and server-side issues, being comfortable debugging API calls etc. Comfortable working with browser developer tools and using them to analyze issues with HTML, JSON, and network traffic. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Qualifications Required Skills: Python programming expertise, including data structures, object-oriented programming, recursion, generators, iterators, decorators, and familiarity with regular expressions. Working knowledge and experience with deep learning frameworks such as PyTorch or TensorFlow, including embedding representations. Familiarity with SQL database interactions. Familiarity with Elasticsearch document indexing and querying. Proficiency in Docker and creating Dockerfiles. Experience in REST API and JSON structures, utilizing Python packages like FastAPI. Skill in working with Git operations. Proficiency in shell scripting. Expertise in using PyCharm for development, debugging, and profiling. Knowledge of Kubernetes. Preferred Skills NLP toolkits such as NLTK, spaCy, Gensim, and scikit-learn; familiarity with fundamental natural language concepts including tokenization, lemmatization, stemming, edit distances, named entity recognition, and syntactic parsing. Advanced knowledge and experience with deep learning frameworks like PyTorch or TensorFlow. Complex operations within Elasticsearch, including creating indices and advanced field indexing. Comprehensive experience with Kubernetes. Skills: framework,sql database interactions,named entity recognition,profiling,rest api,regular expressions,python programming,recursion,lemmatization,json structures,decorators,pycharm,generators,deep learning frameworks (pytorch, tensorflow),tokenization,fastapi,object-oriented programming,edit distances,elasticsearch,stemming,dockerfiles,shell scripting,docker,nlp toolkits (nltk, spacy, gensim, scikit-learn),syntactic parsing,data structures,python,deep learning,ml,git operations,kubernetes,embedding representations,debugging,iterators

For more than 40 years, Accelya has been the industry’s partner for change, simplifying airline financial and commercial processes and empowering the air transport community to take better control of the future. Whether partnering with IATA on industry-wide initiatives or enabling digital transformation to simplify airline processes, Accelya drives the airline industry forward and proudly puts control back in the hands of airlines so they can move further, faster. Duties & Responsibilities Middleware Management: Install, configure, and maintain middleware platforms including Apache Tomcat, RedHat JBoss, Microsoft IIS, and Oracle Weblogic. Network Security: Implement and manage network encryption technologies such as SSL and HTTPS. Authentication and Authorization: Manage SSO solutions, particularly with Active Directory, and implement MFA. System Administration: Perform basic Linux administration tasks and manage VPNs, DNS, and IPAM. Messaging Technologies: Work with messaging technologies like IBM MQ and Rabbit MQ. Infrastructure-as-Code: Use tools like Terraform, Ansible, and Git for infrastructure management. Shared Services Support: Support applications delivering MFA, data tokenization, and data encryption. Continuous Improvement: Identify and implement improvements to middleware and shared service applications. Agile Methodologies: Participate in Agile environments using Scrum and/or Kanban. Knowledge, Experience & Skills Proficiency with Apache Tomcat, RedHat JBoss, Microsoft IIS, and Oracle Weblogic. Kafka and Citrix experience is a plus. Strong written and verbal English skills. Excellent problem-solving and analytical skills. Strong teamwork and communication abilities. At least one role at a major, global organisation with 100s or 1000s of servers to manage Working with colleagues/customers in the UK and US Some evidence of automation experience, ideally mentioning keywords 'Terraform', 'Ansible', 'Python', 'Powershell' Some evidence the candidate has had to think for themselves - e.g. they have been a consultant, team lead, project lead or just generally someone who has autonomy in one or more of their roles Evidence that they have written documents and/or mentored/coached more junior colleagues or clients What does the future of the air transport industry look like to you? Whether you’re an industry veteran or someone with experience from other industries, we want to make your ambitions a reality!

Seeking Test Engineer with proven expertise in Card-based banking solutions and Digital Banking platforms. Hands-on experience with Credit, Debit, WPS and Prepaid cards Card Management Systems (TSYS Prime / Way4) UAT execution, wallet/tokenization

Job Applicant Privacy Notice Big ID-Thales Cipher - Consultant Publication Date: Jul 17, 2025 Ref. No: 534749 Location: Mahape, Navi Mumbai, Maharasht, IN About Atos Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. € 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris. The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. Responsibilities: Design and implement data obfuscation strategies using Thales CipherTrust Tokenization, FPE, and Data Masking modules. Define and build reusable obfuscation templates and policies based on data classification, sensitivity, and business use cases. Apply obfuscation to PII, PCI, and other regulated data across databases, applications, files, APIs, and cloud services. Install, configure, and administer CipherTrust Manager, DSM, and related connectors. Develop and deploy integration patterns with enterprise systems (e.g., Oracle, SQL Server, Kafka, Snowflake, Salesforce, AWS, Azure). Automate policy deployment and secret rotation using APIs, CLI, or scripting tools (e.g., Ansible, Terraform, Python, Shell). Work with or integrate secondary data protection tools (e.g. DLP, IRM, MIP etc.) Design, deploy, and manage PKI systems, including root and subordinate certificate authorities (CAs). Manage digital certificate lifecycles for users, devices, and services. Ensure secure storage and access controls for encryption/decryption and signing keys. Enable cross-platform key management and policy consistency for hybrid and multi-cloud environments. Align obfuscation patterns with internal data protection standards, classification schemes, and regulatory frameworks (GDPR, CCPA, DORA, SEBI, etc.). Provide obfuscation logs and audit evidence to support security assessments, audits, and compliance reviews. Implement monitoring and alerting for obfuscation control failures, anomalies, or unauthorized access attempts. Create detailed technical documentation, SOPs, and configuration guides. Train internal engineering teams and application owners on how to securely integrate with obfuscation services. Collaborate with data governance, security architecture, and DevSecOps teams to drive secure-by-design initiatives. Knowledge, Skill, Experience Required: Required: 3–6 years of hands-on experience with Thales CipherTrust Data Security Platform (Tokenization, DSM, FPE, Masking). Strong knowledge of data protection concepts: tokenization (deterministic and random), pseudonymization, static/dynamic masking, and encryption . • Experience integrating obfuscation solutions with databases (Oracle, SQL, PostgreSQL, etc.), enterprise apps, and data pipelines. Proficiency in scripting and automation tools: Python, Shell, REST APIs, Ansible, CI/CD pipelines. Familiarity with key management, HSM integration, and data access policies. Beneficial: • Thales Certified Engineer / Architect – CipherTrust • CISSP, CISA, CDPSE, or CIPT will be a binus Cloud Security Certification (e.g., AWS Security Specialty, Azure SC-300) Personal Characteristics : Strong analytical and problem-solving mindset Ability to work independently in a fast-paced, global enterprise environment Excellent documentation and communication skills Comfortable collaborating with cross-functional teams (App Dev, Security, Compliance, Data Governance) Experience supporting enterprise data security transformations and data-centric protection strategies #LinkedIN

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Company Description Intelisync is a premier blockchain development and Web3 marketing firm, dedicated to creating secure and scalable decentralized applications and ecosystems. With expertise in Real-World Asset (RWA) tokenization, DeFi solutions, Layer 2 scaling, and AI integration, we engineer innovative digital solutions. We also focus on advanced security and decentralized identity solutions, ensuring the resiliency and future-proofing of our platforms. Our proficiency in Web3 marketing, including influencer and key opinion leader (KOL) marketing, drives substantial user growth and engagement. Our development scope includes token creation, ICOs, custom blockchain development, DEX and CEX platforms, bot creation, and advanced AI-driven solutions. Role Description This is a full-time, on-site role for a Senior Business Analyst, based in Pune. The Senior Business Analyst will be responsible for analyzing complex business processes, gathering business requirements, and communicating effectively with stakeholders. The analyst will also conduct detailed business analysis, develop optimized business workflows, and support the overall strategic planning of the company. Qualifications Strong Analytical Skills and Business Analysis experience Ability to understand and develop Business Processes and Business Requirements Excellent Communication skills, both written and verbal Experience in the blockchain or Web3 industry is beneficial Bachelor's degree in Business Administration, Finance, Information Technology, or a related field Ability to work on-site in Pune

At a Glance: The Story Behind AMINA Founded in April 2018 and headquartered in Zug, AMINA Bank is a pioneer in the financial industry providing a seamless, secure and easy-to-use bridge between digital and traditional assets. As a smart bank AMINA Bank offers a fully universal suite of regulated banking services in the emerging digital economy. In August 2019, AMINA Bank received a Swiss banking and securities dealer license – the first time a reputed, regulatory authority such as FINMA has granted a licence to a financial services provider with a core capability in digital assets. The broad, vertically integrated spectrum of services combined with the highest security standards, make AMINA Bank’s value proposition unique. CVVC Global Report and CB Insights names AMINA Bank as Top 50 Companies within the blockchain ecosystem. AMINA India is a wholly owned subsidiary of AMINA Bank AG, a FINMA licensed Swiss Bank focused on cryptocurrencies and digital assets. AMINA provides custody, trading, credit and investment products on cryptocurrencies and digital assets to institutional and professional investors. AMINA Bank is Headquartered in Zug, with presence in Mumbai, Abu Dhabi, Hong Kong and Singapore. AMINA India acts as a virtual extension of the bank supporting activities spanning digital assets research, investment solutions, trading & liquidity management, risk management and more recently mid/back-office and IT operations. Your Mission (Should You Choose to Accept It) The Product Team's Innovation arm is where new ideas are born, tested, and turned into the next generation of financial products. We explore emerging trends, experiment with new business models, and incubate ideas that could reshape how finance works in a digital world. We're looking for a structured and self-driven Product Innovation Manager to help bring clarity and execution muscle to our fast-moving environment. You will interact with relevant internal stakeholders and the crypto industry's leading companies, protocols and infrastructure providers. The ideal candidate will be part of high-impact conversations. From early ideation through to launch — across everything from custody, staking, coin selection, tokenization to payments, platform strategy, and more. This is a rare opportunity to work side-by-side with a senior leader in innovation, gain exposure to C-level discussions, and make a tangible mark on how a Digital Asset Bank grows. Your AMINA To-Do List Help shape and track innovation workstreams and product experiments. Build and manage documentation, timelines, and next-step trackers. Own follow-ups and ensure progress across different initiatives. Support in preparing internal and external decks, presentations, and briefs. Conduct research into digital asset trends, competitors, and new technologies. Coordinate across functions: Product, Marketing, Technology, Sales, Compliance, Operations and Engineering. Manage meeting cadences, summaries, and action items. Build structure around day-to-day priorities, blockers, and to-dos. Create feedback loops for internal and external stakeholders prior and post product launches. Calculate business cases and put together go-to market plans. Your Golden Ticket To The AMINA Team 3–5 years of experience in a structured role (e.g., project coordination, business operations, product assistant, consulting, etc.) 1-3 years working with crypto-related topics (e.g. crypto/fintech startup, protocol, service provider). Strong written and verbal communication skills. Experience using Google Suite / Office365, Figma, Product Board, Trello. Ability to simply complex topics and workflows, representing them visually. Confident Ai prompt engineer. Exposure to working with remote/global teams is a big plus. BONUS: EVM/Rust coding experience, hackathon participation, obsessive over what's coming up on the horizon. Fluent in English, and comfortable working with international counterparts. Well-organized — you think in steps, checklists, and workflows. Communicate clearly and confidently across cultures and time zones. Tech-savvy and curious about blockchain, crypto, tokenization, and the future of finance. Comfortable with fast-paced, often ambiguous environments. Proactive and independent — you take ownership without waiting for instruction. Experience working in a fintech, crypto startup, and/or global banking/consulting firm. Technical background, systems thinker, able to understand and navigate multi-stakeholder processes. Why We’re Awesome Join our skilled team and together redefine finance. We owe our exponential growth to our innovative and collaborate team spirit and talented workforce. Every voice counts as we are always committed to learning from diverse perspectives and backgrounds because our people make the difference at AMINA Bank. Regardless of your age, gender, belief, and background, at AMINA EVERYONE (E) is welcome!

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist - Global Consumer Sentiment Index Location: Bangalore Reporting to: Product Manager - Global Consumer Sentiment Index Purpose of the role We are seeking a skilled and business-savvy Data Scientist to contribute to the development of our global consumer sentiment analytics platform. This role is critical in ensuring our data science outputs are accurate, scalable, and business-relevant, with a strong focus on NLP and model optimization. The ideal candidate will bridge the gap between advanced data techniques and actionable business insights. Key tasks & accountabilities Apply and fine-tune NLP models for sentiment analysis, aspect extraction, translation, and classification on multi-source textual data. Translate complex technical results into simple, decision-oriented insights for business teams. Ensure high model accuracy and relevance through iterative optimization and performance testing. Collaborate with functional stakeholders to understand use cases and refine problem statements. Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures. Involve actively during the visualization phase to ensure that final dashboards align with user needs. Collaborate with functional and technical teams to translate business questions into modeling approaches. Integrate structured and unstructured data from various platforms (e.g., social, e-commerce, forums) to enrich outputs. Maintain rigorous documentation of data science workflows and ensure reproducibility of results. Support model deployment and handover for integration into Power BI, aligning with ABI data standards. Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. Ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical. Work under the guidance of the Lead Data Scientist and support junior analysts when needed. Business Environment Challenges Lack of structured data; handle noise and ambiguity in user-generated content. Deliver actionable insights within tight timelines and changing inputs. Build scalable models that adapt across markets with unique consumer behaviors. Evaluation Criteria Quality, accuracy and impact of models as measured by stakeholder feedback and usage in decision-making. Ability to communicate technical output clearly to non-technical stakeholders. Delivery of milestones within agreed timelines for each project phase. Continuous innovation and problem-solving initiative demonstrated in improving the models and insights. Qualifications, Experience, Skills Level of educational attainment required Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related quantitative field. Previous work experience 4 - 6 years in data science with hands-on experience in NLP projects. Strong track record of working with social media, reviews, or consumer sentiment data. Prior involvement in integrating models with BI platforms, ideally Power BI. Experience working with CI/CD tools (e.g., Azure DevOps). IT Skills: Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace) Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.) Familiarity with cloud environments (Azure preferred) Knowledge of Power BI integration and data pipelines Technical Competencies: Essential: NLP, Sentiment Analysis, Topic Modeling, Text Classification Python, SQL, Machine Learning, Model Explainability API integration, Power BI readiness, data engineering fundamentals Text preprocessing, tokenization, and vectorization Sentiment analysis and topic modeling fundamentals Efficient coding practices and code optimization Working with multilingual corpora and translation APIs Desirable: Knowledge of social listening tools (e.g., Brandwatch, Talkwalker) Advanced Data Visualization techniques Experience with multilingual data sets And above all of this, an undying love for beer! We dream big to create future with more cheers.

As a member of the Classical ML+NLP+Gen AI - L4 team at Tredence, you will be involved in tasks such as Model Fine-tuning, Model Pre-training, Named Entity Recognition, Prompt Engineering, Pyspark, Python, Regular expressions, SQL, Supervised ML, Tokenization, Transformer Models, Transformers, Unstructured Data Pre-processing, and Unsupervised ML. Tredence, founded in 2013, is a company dedicated to transforming data into actionable insights. With a focus on helping over 50 Fortune 500 clients succeed in their industries, we operate globally with our headquarters in San Jose and a presence in 5 countries. Our goal is to be the world's most indispensable analytics partner by combining deep domain expertise with advanced AI and data science to deliver exceptional business value. We welcome you to be a part of our team and contribute to our innovative journey.,

Title : AIML - LLM Gen AI Engineer Key Responsibilities Design, develop, and implement solutions leveraging transformer-based models for various NLP tasks, including text generation, summarization, question answering, classification, and translation. Work extensively with transformer models such as GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar architectures. Apply a deep understanding of model architectures, attention mechanisms, and self-attention layers to effectively utilize LLMs for generating human-like text. Lead efforts in fine-tuning pre-trained LLMs and other transformer models on domain-specific datasets to optimize performance for specialized tasks like text generation, summarization, question answering, classification, and translation. Utilize knowledge of concepts like attention mechanisms, context windows, tokenization, and embedding layers in model development and optimization. Address and mitigate issues related to biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. Apply expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including the use of instruction-based prompting. Implement and experiment with zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without extensive retraining. Iterate on prompts and prompt engineering strategies to refine outputs, rigorously test model performance, and ensure consistent and high-quality results. Craft prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. Demonstrate expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Contribute to the entire lifecycle of machine learning models in an NLP context, including training, fine-tuning, and deployment. Required Skills & Qualifications Overall 8+ years of experience working with transformer-based models and NLP tasks, with a dedicated focus on text generation, summarization, question answering, classification, and similar applications. Expertise in transformer models like GPT, BERT, T5, RoBERTa, and similar foundational models. Strong familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. Proven experience in fine-tuning pre-trained models on domain-specific datasets for various NLP tasks. Strong familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including instruction-based prompting. Experience in using zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. Proven experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. Demonstrated ability to craft prompt templates for repetitive tasks, ensuring adaptability to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks. Proficiency in Python and extensive experience with key NLP libraries (e.g., Hugging Face Transformers, SpaCy, NLTK). Solid experience in training, fine-tuning, and deploying machine learning models in an NLP context. Excellent problem-solving skills and a strong analytical mindset. Strong communication and collaboration skills, with the ability to work effectively in a remote or hybrid environment. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. (ref:hirist.tech)

Biostate. AI - Frontend Engineer Location: Remote or Onsite (Bengaluru, India) Job Type: Full-time Experience Level: Mid-Senior About The Role Key Responsibilities Build and maintain front-end applications using React, Angular, and Next.js. Implement responsive, user-friendly interfaces with minimal design hand-holding. Translate product requirements and user needs into interactive features. Write clean, reusable, and scalable code following best practices. Optimize performance and ensure cross-browser compatibility and mobile responsiveness. Work collaboratively with product managers, engineers, and occasionally designers. Stay current with modern front-end development trends and tools. Required Qualifications 3+ years of front-end development experience in production environments. Proficient in JavaScript (ES6+), TypeScript, HTML5, and CSS3/SASS. Experienced in frontend development with expertise in routing, dependency injection (DI), component-based architecture, state management, form handling, and module-based application design. Strong working knowledge of: React.js, including hooks and component patterns. Angular (v10+), especially its modular and service-oriented architecture. Next.js, including server-side rendering and static site generation. Demonstrated ability to design and implement interfaces independently with attention to usability and visual polish. Familiarity with RESTful and/or GraphQL APIs. Strong debugging and troubleshooting skills. Preferred Qualifications Knowledge of accessibility standards (WCAG) and front-end security practices. Background in startup environments or product-first teams. About Biostate AI, Inc. Biostate AI is building generative models for predicting the evolution of living organisms' health following drug dosing, emphasizing safety and toxicity. By innovating new methodologies for collecting RNAseq and DNA methylation data at a fraction of the traditional cost, Biostate has curated a vast, proprietary, multi-species, multi-drug, multi-omics dataset. The company stands out for its patented tokenization and Universal Gene Embedding methods for transfer learning, enabling its generative AI models to forecast human and animal health states with unprecedented 1-day temporal resolution. Biostate AI is co-founded by David Zhang (former tenured professor at Rice University, former founder/CEO of NuProbe) and Ashwin Gopinath (former MIT professor, former founder/CTO of Palamedrix). Our individual investors include Dario Amodei (CEO of Anthropic), Joris Poort (CEO of Rescale), Michael Schnall-Levin (CTO of 10X Genomics), and Emily Leproust (CEO of Twist Biosciences), all leaders in fields relevant to our work. Institutional investors in Biostate include Accel Ventures, Matter Venture Partners, Vision Plus Capital, and Caltech Fund. Our Culture At Biostate AI, our core values are Honesty, Discipline, Efficiency, Initiative, and Meritocracy. Team members are encouraged and expected to take ownership of their projects, evaluate and decide effort allocation among multiple projects, continuously learn in an inter-disciplinary manner, provide direct feedback to management, continually challenge conventional assumptions and innovate from first principles, and contribute to the company's growth and success. We embrace a “move fast and break things” attitude, encouraging our team members to take calculated risks, experiment with new ideas, and learn from failures. We value the ability to move quickly, iterate on ideas, and push boundaries. Join Biostate.ai in our mission to revolutionize the interface of artificial intelligence and biological research.

Job Summary The platforms form the technological backbone of a bank, focusing on supporting, managing, and optimizing the bank's internal IT infrastructure, operations, and security. They are essential for the seamless functioning of all digital and operational aspects of the bank, ensuring that services are delivered efficiently and securely. Engineering Leads are responsible for providing engineering leadership to steer platform architecture and solution in alignment to WRB architectural guidelines. The appointed individual is expected to be associated with Fraud Risk Management Hive covering multiple applications which offer payment (debit and credit) risk assessment and application fraud risk assessment capability. This is an engineering role with a broad scope, it will require them to co-create and own the technology solution and delivery within the individual WRB Hives. The role holder is expected to co-creation of the technology solution in alignment of technology road which is built in close consultation with the business, architecture and other associated teams e.g. Risk Management, Enterprise Technology, Functions, etc. Engineering Lead is expected to prioritize the needs of the squads and empower them to deliver Hive’s priorities. In addition to the above the role holder would be responsible for executing the below responsibilities - Key Responsibilities The role will be responsible to creating a roadmap for application which are robust and futuristic solutions for Fraud Risk Management Solution covering payment (debit and credit) risk assessment and application fraud risk assessment capability. The role will be responsible for handling the Solution Architecture designing and delivery for Fraud Risk domain. The role will be responsible for leading the design, development, and implementation of payment (debit and credit) risk assessment and application fraud risk assessment capability, ensuring high-quality, reliable, and scalable systems. Will be responsible for developing solutions, stake holder management, vendor and financial management, developing project costs, and delivering the developed solutions. Ability to Identifying and managing risks, including developing contingency plans to mitigate potential issues. Knowledge about API’s (SOAP, JSON, REST..ETC) and Web Service Integration. Strong design and programming knowledge Knowledge of end-to-end systems development life cycles (i.e., waterfall, Agile and other modern approaches to software development) Excellent verbal and written communication skills to technical and non-technical audiences of various levels in the organization Willingly shares relevant technical and/or industry knowledge and expertise to other resources Excellent problem-solving, team, and time management skills. Resourceful and proactive in gathering information and sharing ideas. Experience in banking or financial services industry. Working experience in Cloud and Digital transformation projects is an advantage. Good knowledge skill on open banking is a plus. Ability to review the requirement, impact analysis, gap analysis, high level design, cost estimation, propose timeline, obtain project approval, and draft solution architecture/function spec/technical spec document. Be an excellent leader, Subject matter expert on the technical and functional knowledge Good team collaboration, relationships within & outside POD to all levels of the organization Strong influencing, conflict resolution & negotiation skills. Ensure a consistent and world-class customer experience through timely, accurate, relevant, and personalized communications while minimizing costs to the bank Overseeing multiple squads as an engineering lead. Partnering with Product Owners to drive the delivery process, working with PO, Squad Lead, IT Change and Release Managers, and Product Specialists. Growth mindset, aligned to modern ways of working. Empowering their team to deliver, acting as a servant leader who believes their job is in service to their team.GIA. Processes Support the continuous improvement to increase operation efficiency and effectiveness across the domains and key business processes associated with the domain Support the delivery of the business strategies in a safe and self-controlled manner and on an end to end manner Advocating for the allocation of resources to support strategic initiatives within the hives. Ensures safe management, onboarding processes and other key business processes are applied effectively Study existing engineering processes and contribute to improvements to drive up efficiencies. Present ideas across other areas and foster innovation. Solve potential interdependencies between platforms / systems. Participate in the quarterly planning for the Hive and provide steer along with Chief Product Owner. Provide inputs and guidance on technology budget and costs for the Hive. Responsible in the preparation of production outputs and their planning in alignment to ESDLC standards. People & Talent Promote a culture of innovation collaboration and accountability Mentor, train and develop high performing teams who feel empowered to develop high quality products for the end client Effectively collaborate with support functions, business partners, and COEs to provide effective client outcomes Coach to help others grow – leading the human / teams Provide technology thought leadership, inspire and retain engineering talents by developing and nurturing an extensive internal and external network of technologists. Create a pipeline of technical talent, identifying high potential individuals and helping to create mechanisms to recognize and develop the talent pipeline by working with Coaches and Chapter Leads. Chair and lead communities of practice. Perform a vital communication role within the organization/domain on technology matters. Effectively and collaboratively identify, escalate, mitigate, resolve any risk, conduct and compliance matters. Create a positive impact in the organization and across the industry by sharing knowledge and expertise with others. Work with Coaches and CPO to build an empowered, high performing team in a psychologically safe environment. Empowers their to work with the hive, the scope of the role prohibits constant and direct involvement in each hive. Risk Management Creates awareness and understanding of the regulatory framework and risk environment in which the Group operates Ensures adherence with the highest standards of ethics and compliance with relevant policies, process, and regulations Act as the risk control owner under the Group’s risk management framework Responsible for effective risk management across all initiatives planed for the hive. Act as the risk control owner under the Group’s risk management framework at the appropriate level. Regulatory & Governance Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Represent the domain in relevant governance & risk committees – e.g. NFRC Delivery of conduct plan across region and relevant technology forums Ensure that the GRAM risk rating for the domain is maintained Represent the Hive and contribute to the governance forums like RF, QPR etc. Ensure that other technology leaders in the Hive and across Hives are sufficiently involved in the Hives interaction events like quarterly planning, show & tells etc. Regulatory & Governance Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Represent the domain in relevant governance & risk committees – e.g. NFRC Delivery of conduct plan across region and relevant technology forums Ensure that the GRAM risk rating for the domain is maintained Represent the Hive and contribute to the governance forums like RF, QPR etc. Ensure that other technology leaders in the Hive and across Hives are sufficiently involved in the Hives interaction events like quarterly planning, show & tells etc. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the Digital Experience team to achieve the outcomes set out in the Bank’s Conduct Principles Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders Global Platform Delivery Head, Domain Tech Leads, Hive Lead, WRB Architects Strategy Develop and execute a technology strategy that is aligned with WRB and TTO’s goal and objectives Responsible for overseeing multiple squads and ensuring that the mission / vision of these Hives align towards a common client journey For platform sub domains drives a modern API driven platform architecture and library Provide thought leadership to the wider technology community (via technology papers, blogs, industry seminars, forums, etc) Responsible for executing the Hive's product vision together with the Chief Product Owner. Responsible for working with the CPO, Engineering Leads and Architect to communicate and execute the Technology vision and roadmap for the Hive. Demonstrate ability and skills to convince business stakeholders around technology solutions. Manage and build strong relationships with key stakeholders: Business Unit MT, Business Heads, Function Heads, Product Management / Product Ownership, Delivery Team, Group Process owners and Functional Partners including Risk, CFCC, HR, Finance, Legal, Business Accountable for driving business outcomes supported by technology pillars / products Deliver, monitor and review technology solutions that will help improve key business metrices – e.g. client NPI, business ROTE etc. Contributing to the establishment of the product roadmap through collaborative discussions with stakeholders. Provide leadership and technical expertise for within the Sub Domain. Dedicates 100% of their capacity to the Sub Domain’s goals and outcomes. Take full responsibility for all the applications that are owned by the Sub Domain. Responsible for resilience, obsolescence and balancing of application/platform health with new feature delivery. Partners with the Chief Product Owners, Engineering Leads and Chapter Area leads to manage capacity and ensure the squads are set up for success. Guide the squads to ensure the technical consistency of solutions in the Hive with the business architecture. Lead architecture evaluations during RFPs for technology tools and service providers. Exhibit passion for client experience with a user-first mindset. Drive the sub domain towards future state of banking and technology. Other Responsibilities Embed Here for Good and Group’s brand and values in the digital sales/commerce team Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures Skills And Experience Programming & Scripting OS Network Fundamentals Security Fundamentals Database Development Qualifications Bachelor's degree in Technology, Computer Science, or a related field (or equivalent experience). 12+ years of experience in Technology and Solution Architecture. Strong leadership (servant leadership) experience – willingness to lead from the front Effective communication and stakeholder management skills Experience in start-ups / agile mindset is a good to have / experience operating highly-available systems in technology companies / Financial institutions Knowledgeable on modern object orientated programming practises including entity frameworks, dynamic reflection, reusable interfaces, non-blocking reactive design. Knowledge of FinTech ecosystem, inclusive of Blockchain, Digital Banking and Generative AI. Familiarity with 3rd party system integrations via APIs (HTTP/REST), host-to-host (file exchange by FTP), with background jobs processing of real-time, event triggered, and async automations. Advanced knowledge in AI, Tokenization, Blockchain, Digital Assets, FinTech Technologies About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

osition: Data Scientist Location: Chennai, India (Work from Office) Experience: 2–5 years About the Opportunity: Omnihire is seeking a Data Scientist to join a leading AI-driven data‐solutions company. As part of the Data Consulting team, you’ll collaborate with scientists, IT, and engineering to solve high-impact problems and deliver actionable insights. Key Responsibilities: Analyze large, structured and unstructured datasets (SQL, Hadoop/Spark) to extract business-critical insights Build and validate statistical models (regression, classification, time-series, segmentation) and machine-learning algorithms (Random Forest, Boosting, SVM, KNN) Develop deep-learning solutions (CNN, RNN, LSTM, transfer learning) and apply NLP techniques (tokenization, stemming/lemmatization, NER, LSA) Write production-quality code in Python and/or R using libraries (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, NLTK/spaCy) Collaborate with cross-functional teams to scope requirements, propose analytics solutions, and present findings via clear visualizations (Power BI, Matplotlib) Own end-to-end ML pipelines: data ingestion → preprocessing → feature engineering → model training → evaluation → deployment Contribute to solution proposals and maintain documentation for data schemas, model architectures, and experiment tracking (Git, MLflow) Required Qualifications: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–5 years of hands-on experience as a Data Scientist (or similar) in a data-driven environment Proficiency in Python and/or R for statistical modeling and ML Strong SQL skills and familiarity with Big Data platforms (e.g., Hadoop, Apache Spark) Demonstrated experience building, validating, and deploying ML/DL models in production or staging Excellent problem-solving skills, attention to detail, and ability to communicate technical concepts clearly Self-starter who thrives in a collaborative, Agile environment Nice-to-Have: Active GitHub/Kaggle portfolio showcasing personal projects or contributions Exposure to cloud-based ML services (Azure ML Studio, AWS SageMaker) and containerization (Docker) Familiarity with advanced NLP frameworks (e.g., Hugging Face Transformers) or production monitoring tools (Azure Monitor, Prometheus) Why Join? Work on high-impact AI/ML projects that drive real business value Rapid skill development with exposure to cutting-edge technologies Collaborative, Agile culture with mentorship from senior data scientists Competitive compensation package and comprehensive benefits

About the Role We are looking for a motivated entry-level engineer to join our team and help build machine learning and Large Language Model (LLM)-based applications. This is a fully on-site position, and ideal for someone local who wants to kick-start their career in AI, learn fast, and contribute to real-world projects from day one. This role is challenging and fast-paced, requiring someone who can absorb knowledge quickly, adapt to complex requirements, and execute at high speed. You'll be expected to prototype ideas within a few days to test feasibility, and contribute meaningfully to ML pipelines and LLM-enabled features under the guidance of experienced engineers. If you are a recent graduate driven by curiosity, action-oriented thinking, and a strong work ethic, this is a rare opportunity to accelerate your growth, work hands-on with cutting-edge AI technologies, and make a real impact from day one. What You Will Do Build and test workflows and Agentic AI Applications. Integrate open-source LLMs such as LLaMA2 and commercial APIs such as OpenAI, into backend services using LangChain and other frameworks Develop retrieval-augmented generation (RAG) pipelines, including embedding generation, vector store setup and query orchestration Create and maintain prompt templates and toolchains for workflows like multi-turn conversations or auto-tagging of enterprise documents Write unit tests and debug issues in LLM-powered features such as semantic search and summarization Prototype new ideas rapidly in 1-2 days and iterate with feedback Document your work clearly and maintainably Required Skills Strong Python fundamentals Prior experience shipping code to production Hands-on experience in building applications with LLMs like GPT, Claude, and LLaMA Understanding of embeddings, tokenization, and vector search Exposure to LangChain, LlamaIndex, or similar frameworks Comfortable with APIs, JSON, and CLI tools Ability to build middleware in Node.js and connect to Python backend Ability to work fast, prototype quickly, and accept feedback Self-driven and persistent problem-solver What We Offer A rare, hands-on opportunity to learn real-world AI/LLM development. Daily exposure to LLM models and tools.Direct mentorship from experienced engineers. Fast-paced, execution-focused culture. Performance-based growth for driven candidates. Modest initial compensation with high learning ROI. How to Apply Send your resume and a brief note explaining your interest in AI/ML and why this opportunity excites you to careers@bitwiseacademy.com. If you have worked on any LLM projects - GitHub links, demos, or code samples are strongly encouraged. As part of the interview process, you will be asked to implement a small prototype to demonstrate your ability to learn quickly, work independently, and apply AI/LLM concepts in code.

This opportunity is with a product-based company into Fintech environment specializing in Cards & Payment Technology. Role - Senior Business Analyst Experience - 5 to 9 years NP - Immediate to 30 days Location - Pune Work Mode - 5 days WFO Budget - Max 28 LPA Domain - Payments and Cards Primary Skills - Experience in atleast one of the following areas is mandatory - Card Issuing/Card Acquiring/Card Switch Secondary Skills - Tokenization, Payments Standards like ISO 8583, EMV, PCI-DSS & 3DS. JOB MISSION As part of the implementation of company, this role ensures the translation of client needs and the drafting of functional specifications while adhering to the contractual SLA standards. JOB OBJECTIVES Draft functional requirements to facilitate development activities. Translate client needs into detailed functional specifications. Ensure development teams fully understand the functional specifications. Provide domain expertise in areas such as switch, acquiring and issuing (any one of the skills). Analyze current payment workflows and suggest improvements to enhance efficiency and reduce processing times. Validate developments to guarantee alignment with client requirements. Contribute to developing a testing strategy consistent with functional requirements. Oversee the tracking of acceptance criteria for each test level. Schedule test datasets based on deliveries and major risks. Monitor and address anomalies identified during testing. Prepare functional documentation to support client delivery. Draft functional, technical, and process-related documentation Contribute to the creation of user training materials. Assist in organizing and delivering training sessions. Support pre-sales and care activities to strengthen the commercial effort. Participating in pre-sales activities for clients and prospects Collaborate with sales teams to develop Proof of Concept (PoC) solutions. Help prepare demos in collaboration with commercial teams. Provide technical and functional support to clients.

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Full Stack Engineer, you will be responsible for developing and engineering the end-to-end features of a system. Your typical day will involve collaborating with cross-functional teams to design and implement innovative solutions that enhance user experience and optimize backend processes. You will leverage new technologies to address complex business challenges while maintaining a cloud-first and agile approach, ensuring that the services provided to clients are continuously improved and aligned with their needs. Your role will require a balance of creativity and technical expertise to deliver high-quality software solutions that meet project requirements and client expectations. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement new features. - Conduct code reviews to ensure quality and adherence to best practices. "• Experience with Hugging Face Transformers, LangChain, OpenAI APIs • Strong knowledge of machine learning libraries: scikit-learn, XGBoost, LightGBM • Experience with Retrieval-Augmented Generation (RAG): Faiss, Pinecone, Weaviate, ChromaDB • Training, fine-tuning, and optimizing transformer models (BERT, GPT, T5, LLaMA) • Deep understanding of self-attention, positional embeddings, sequence modeling • Strong NLP expertise: Named Entity Recognition (NER), topic modeling, text embeddings • Good grasp of linear algebra: vectors, matrices, eigenvalues, eigenvectors etc • Expertise in gradient descent, backpropagation, activation functions, loss functions • Experience with dimensionality reduction techniques for feature selection • Knowledge of time-series forecasting, anomaly detection, and probabilistic modeling • Understanding of model serving techniques, including REST APIs and real-time inference" "• Develop and fine-tune LLMs (GPT, BERT, T5, LLaMA, Mistral) for text generation, summarization, translation, and question-answering tasks. • Work with transformer-based architectures, understanding self-attention mechanisms, token embeddings, and model interpretability. • Implement custom tokenization techniques, text embedding models (Sentence-BERT, OpenAI Embeddings, Cohere, etc.), and efficient inference optimizations. • Apply prompt engineering and prompt tuning techniques to optimize model responses. • Work with LangChain and LLM orchestration frameworks to build AI-powered applications. • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, Weaviate, ChromaDB. • Work with Hugging Face Transformers, spaCy, NLTK, and OpenAI APIs." Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with JavaScript frameworks such as React or Angular. - Strong understanding of RESTful API design and development. - Familiarity with cloud platforms such as AWS or Azure. - Experience with database management systems like MySQL or PostgreSQL. "Must Have Skills: 1. Must have 5-7+ years of experience working as a Microsoft FED Angular. 2. Strong understanding of software development principles, design patterns, and best practices. 3. Develop, test, and maintain software applications using Angular and .NET. 4. Designing & developing user interfaces using angular best practices 5. Developing application code & unit tests in angular. 6. Experience in consuming Web API/ Rest API using Javascript. 7. Should have good troubleshooting and debugging skills Good to Have Skills: 1. Knowledge/Experience in Excel 2 Knowledge/Experience of Agile methodology and Sprint based project delivery Nice to Have Skills: 1. .Net Core 2. Agile Development Methodology 2. MySQL" "• Should be good team player. • Good Written & Verbal Communication skills • Good analytical and troubleshooting skills." Additional Information: - The candidate should have minimum 3 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required. Resource should be open to work in B Shift (Afternoon Shifts 12:30 to 10:30) during week days., 15 years full time education

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day. What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one. We’re looking for a Sr AWS Databricks Admin to join our Big Data Team to help us unleash the potential of every business. Are you ready to make your mark? Then you sound like a Worldpayer. About The Team We are seeking a talented and experienced Senior AWS Data Lake Engineer to join our dynamic team who can design, develop, and maintain scalable data pipelines and manage AWS Data Lake solutions. The ideal candidate will have extensive experience in handling sensitive data, including Personally Identifiable Information (PII) and Payment Card Industry (PCI) data, using advanced tokenization and masking techniques. What You Will Be Doing Design, develop, and maintain scalable data pipelines using Python and AWS services. Implement and manage AWS Data Lake solutions, including ingestion, storage, and cataloging of structured and unstructured data. Apply data tokenization and masking techniques to protect sensitive information in compliance with data privacy regulations (e.g., GDPR, HIPAA). Collaborate with data engineers, architects, and security teams to ensure secure and efficient data flows. Optimize data workflows for performance, scalability, and cost-efficiency. Monitor and troubleshoot data pipeline issues and implement robust logging and alerting mechanisms. Document technical designs, processes, and best practices. Provide support on Databricks and Snowflake. Maintain comprehensive documentation for configurations, procedures, and troubleshooting steps. What You Bring 5+ years of experience working as a Python developer/architect. Strong proficiency in Python, with experience in data processing libraries (e.g., Pandas, PySpark). Proven experience with AWS services such as S3, Glue, Lake Formation, Lambda, Athena, and IAM. Solid understanding of data lake architecture and best practices. Experience with data tokenization, encryption, and anonymization techniques. Familiarity with data governance, compliance, and security standards. Experience with Snowflake and/or Databricks (Nice to have). Experience with CI/CD tools and version control (e.g., Git, CodePipeline). Strong problem-solving skills and attention to detail. Where you’ll own it You’ll own it in our modern Bangalore/Pune/Indore hub. With hubs in the heart of city centers and tech capitals, things move fast in APAC. We pride ourselves on being an agile and dynamic collective, collaborating with different teams and offices across the globe. Worldpay Perks - What We’ll Bring For You We know it’s bigger than just your career. It’s your life, and your world. That’s why we offer global benefits and programs to support you at every stage. Here’s a taste of what you can expect. A competitive salary and benefits. Time to support charities and give back to your community. Parental leave policy. Global recognition platform. Virgin Pulse access. Global employee assistance program. What Makes a Worldpayer At Worldpay, we take our Values seriously, and we live them every day. Think like a customer, Act like an owner, and Win as a team. Curious. Humble. Creative. We ask the right questions, listening and learning to get better every day. We simplify the complex and we’re always looking to create a bigger impact for our colleagues and customers. Empowered. Accountable. Dynamic. We stay agile, using our initiative, taking calculated risks to progress. Never standing still, never settling, we work at pace to achieve our goals. We champion our ideas and stay flexible to make them happen. We know that every action adds up. Determined. Inclusive. Open. Unlocking potential means working as one global community. Our work spans borders, and we stay united by our purpose. We collaborate, always encouraging others to perform at their best, welcoming new perspectives. Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career. We can’t wait to hear from you. To find out more about working with us, find us on LinkedIn. Privacy Statement Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice. Sourcing Model Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Summary Are you passionate about the intersection of data, technology and science, and excited by the potential of Real-World Data (RWD) and AI? Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights? If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. About the Role Duties and Responsibilities: Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scaleable and automatable data and technology solutions in line with data42 strategy. Be a data SME, understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND etc.), FAIR principles and integration with enterprise catalog Define and execute advanced integrated and scaleable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory using AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. Draft and edit high-level research documents (proposals, protocols, statistical analysis plans). [optional] Knowledge of governance, ethical and privacy considerations [optional] Ideal Candidate Profile: PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in AI/ML. 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, SnowFlake Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. High learning agility and adherence to updates in industry and area of work. Optional Experience in Biomedical Research and development in pharma is a bonus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Biomedical Research Business Unit Innovative Medicines Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Alternative Location 1 Dublin (NOCC), Ireland Functional Area Research & Development Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Job Designation: Data Scientist (LLMs & GenAI) Job Overview: We are looking for an experienced Python developer with a strong background in Large Language Models (LLMs), Generative AI (GenAI), excellent knowledge prompt engineering, tools for RAG development. The ideal candidate will have hands-on experience in prompt engineering, working with advanced AI frameworks such as LlamaIndex, LangChain, LangGraph, and AutoGen. This role involves building scalable applications and solutions that leverage the latest advancements in AI to solve complex business problems like intelligent chatbots, assistants and digital twins. Key Responsibilities: Develop and implement AI-driven solutions using Python and state-of-the-art LLMs like Azure OpenAI, Lama, Gemini. Design and optimize prompt engineering strategies to improve model responses and performance. Work with tools like LlamaIndex, LangChain, and LangGraph to integrate AI into business workflows. Use LangGraph and AutoGen to design and manage multi-step reasoning workflows for complex applications by using poly LLMs. Develop APIs and interfaces for integrating LLM-based models into existing systems on Flask. Perform performance testing, debugging, and continuous improvement of APIs. Research on developing conversational agents, personalized recommendations, and other GenAI-powered products like intelligent chatbots, assistants and digital twins. Keep up with the latest developments in AI/ML and apply new techniques to improve our models and tools. Required Skills & Qualifications: Experience: 2-4 years of Python development experience with a focus on AI/ML. Knowledge: In-depth understanding of LLMs, GenAI, and prompt engineering. Frameworks: Proficiency in LlamaIndex, LangChain, LangGraph, and AutoGen. Machine Learning: Experience with deploying and scaling machine learning models in production environments. Speech processing : Proficiency with speech-to-text or voice recognition systems such as Azure cognitive services and Google Speech API. NLP: Solid understanding of natural language processing, tokenization, and semantic analysis. APIs: Strong experience in developing and integrating RESTful APIs on Flask for AI/ML systems. Problem Solving: Ability to create scalable solutions for multi-modal, poly LLM and generative AI applications. Collaboration: Excellent communication and teamwork skills to collaborate with cross-functional teams. Preferred Qualifications: Knowledge on Speech synthesis and Sentience simulation Experience with cloud platforms (Azure and GCP) for deploying and scaling AI/ML models. Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying microservices. Experience with reinforcement learning, transformers, or other cutting-edge techniques. Understanding of ethical AI, data privacy, and responsible AI practices. Job Type: Full-time Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Required) Experience: LLM: 2 years (Preferred) LangChain or LangGraph: 2 years (Preferred) Docker: 2 years (Preferred) STT / ASR: 2 years (Preferred) API Development: 2 years (Preferred) Work Location: In person

About the Role We are seeking a seasoned Solution Architect with deep expertise in card-based systems to lead the design and delivery of scalable, secure, and high-performance solutions across issuing, acquiring, transaction routing, and settlement domains. This is a strategic role that bridges business needs with technical execution, ensuring alignment with compliance standards such as PCI DSS . Key Responsibilities Lead end-to-end solution architecture for card systems including issuing, acquiring, clearing, and settlement. Design scalable, high-availability systems aligned with business goals and regulatory requirements. Collaborate with cross-functional stakeholders to translate business requirements into robust technical solutions. Evaluate and integrate third-party platforms, APIs, and tools within the cards ecosystem. Guide development teams on architecture best practices, technology stack selection, and integration strategies. Ensure adherence to architectural governance, documentation standards, and security protocols. Required Skills & Experience 8+ years of IT experience, with at least 3 years as a Solution Architect in the cards/payments domain . Strong understanding of the card transaction lifecycle issuing, acquiring, clearing, and settlement. Hands-on experience with Card Management Systems (CMS) such as TSYS, VisionPLUS, FIS, or Way4 . Familiarity with EMV standards , PCI compliance , 3DS , tokenization , and fraud detection frameworks . Proficiency in integration technologies: REST/SOAP APIs , ISO 8583 , MQ , Kafka , and message queues. Exposure to cloud platforms (AWS, Azure, GCP) and microservices architecture . Excellent communication, stakeholder management, and presentation skills. Why Join Us? Work on mission-critical payment systems that impact millions of users. Collaborate with a high-performing team of architects and engineers. Opportunity to shape the future of digital payments and financial technology.

As a skilled Node.js developer, you will be responsible for developing, optimizing, and maintaining web-based applications with a strong focus on performance and scalability. Your main tasks will involve writing clean, efficient, and well-documented code in Node.js, as well as working with databases such as MongoDB or ElasticSearch to handle large datasets while ensuring optimal database performance. In addition to these responsibilities, you will be expected to implement and maintain a Microservices architecture, as well as utilize tools like Git, Docker, and connection pooling to streamline development processes. Your role will also involve developing and managing child processing and IPC (Inter-Process Communication) for high-performance tasks, and working with technologies like RabbitMQ and WebSockets to handle real-time data streams and asynchronous operations. Moreover, you will play a crucial role in ensuring the efficient processing and translation of billions of records in databases, while collaborating with cross-functional teams to optimize code quality and system performance. It is essential for the ideal candidate to have proven experience with Node.js and either MongoDB or Elastic, along with a solid understanding of performance optimization techniques and familiarity with microservices, Git, Docker, and large-scale distributed systems. Experience in working with child processes and IPC in a high-performance environment, as well as strong problem-solving skills focused on reducing execution costs and improving system performance, will be valuable assets in this role. Additionally, knowledge of PHP is considered a good-to-have skill for this position.,