258 Tokenization Jobs

We are looking for a highly skilled and motivated Thales HSM Specialist with strong Microsoft Azure expertise, especially in cryptography and payment systems. The ideal candidate should possess deep understanding of Thales Hardware Security Modules (HSMs), cryptographic key lifecycle management, and practical experience with Azure Payment HSM offering. Key Responsibilities: Manage and configure Thales HSM devices, including key generation, import/export, and secure application integration. Design and implement secure payment operations leveraging HSMs in compliance with PCI-DSS and industry standards. Work with Azure services to support HSM integration, including Azure Key Vault and Azure Payment HSM. Troubleshoot and optimize cryptographic services for performance, compliance, and security. Collaborate with cloud architects and security teams to enforce cryptographic policies and secure key usage. Support and enhance security for payment processing systems involving encryption/decryption, tokenization, and secure key injection. Document key management practices, HSM configurations, and support operations runbooks. Required Skills & Experience : Strong hands-on experience with Thales payShield or Luna HSMs. In-depth knowledge of cryptographic algorithms, PKI, and key management practices. Hands-on experience with Azure Payment HSM or Azure Key Vault Managed HSM. Knowledge of payment systems, EMV, HSM-based PIN processing, and secure remote key loading. Familiarity with PCI DSS and other regulatory compliance frameworks. Solid understanding of Microsoft Azure ecosystem, including networking, security, and identity management. Experience in scripting or automation for HSM operations (PowerShell, Bash, etc.) Preferred Qualifications: Azure certifications such as Azure Security Engineer Associate or Azure Solutions Architect. Certifications in cryptography or security (e.g., CISSP, CISM, Certified Encryption Specialist). Prior experience with cloud-native payment applications or fintech environments.

About this role: Wells Fargo is seeking a Senior Lead Business Execution Consultant. Shared Services Operations - Operational Excellence team is seeking an Applied Data Scientist with a strong data science background to deliver traditional AI and Generative AI solutions for driving operational efficiencies, improve internal and external customer experiences with the use of AI. The candidate needs to possess a mix of technical expertise, creative problem-solving skills, and the ability to align AI solutions with business needs. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions. Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives. Utilize neural network architectures, including transformer-based models such as GPT, BERT, and others for driving operational efficiencies. Familiarity with using diffusion models or multimodal AI depending on the use cases. Hands-on experience with fine-tuning, training, and deploying large language models (LLMs) in on-premises, cloud or hybrid environments. Strong hold on tokenization, embeddings, and model evaluation metrics. Present results of analysis, solution recommendations and AI-driven strategies for variety of business initiatives. Required Qualifications: 7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 7+ years of Data Science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, research and education. Bachelor's/master's degree in a discipline such as Data Science, Computer Science, statistics, or mathematics. Expertise in Python and key/major frameworks like TensorFlow, PyTorch, and HuggingFace. Experience in using ML Ops tools (e.g., MLflow, Kubeflow) for scaling and deploying models in production. Experience working with on Google Cloud Platform and expertise in using the GCP services. Expertise in Scala for processing large-scale data sets for use cases. Proficiency in Java, JavaScript (Node.js) for back-end integrations and for building interactive AI-based web applications or APIs. Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications. Critical thinking and strong problem-solving skills. Ability to learn the latest technologies and keep up with the trends in the Gen-AI space and apply to the business problems quickly. Ability to multi-task and prioritize between projects and able to work independently and as part of a team. Graduate degree from a top tier university (e.g., IIT, ISI, IIIT, IIM, etc.,) is preferred. Job Expectations: Required to work individually or as part of a team on multiple AI and Generative AI projects and work closely with business partners across the organization. Mentor and coach budding Data Scientists on developing and implementing AI solutions. Perform various complex activities related to neural networks and transformer-based models. Provide analytical support for developing, evaluating, implementing, monitoring, and executing models across business verticals using emerging technologies. Expert knowledge on working on large datasets using SQL or NoSQL and present conclusions to key stakeholders. Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions. Experience in building quick prototypes to check feasibility and value to business. Expert in developing and maintaining modular codebase for reusability. Review and validate models and help improve the performance of the model under the preview of regulatory requirements. Work closely with technology teams to deploy the models to production. Prepare detailed documentations for projects for both internal and external use that comply with regulatory and internal audit requirements. Posting End Date: 2 Jul 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Engineering Manager – Payments About the Role We are looking for an experienced Engineering Manager to lead and grow our payments-focused engineering teams. This role is pivotal in scaling our global payments ecosystem and ensuring the reliability, security, and efficiency of our financial systems. You will oversee several cross-functional teams, focusing on everything from payment provider integrations and subscriptions to invoices, taxes, and eCommerce store payments. You will also help expand our international payment capabilities and ensure compliance with regional regulations. Tech Stack : Node.js, NestJS, Vue.js, MongoDB, Elasticsearch Teams You’ll Lead Core Payments Subscriptions, payment integrations, order processing, tax calculations, and coupon management. Payment Products Invoices, payment links, estimates, and transaction reconciliation systems. Ecom Store Store infrastructure, checkout flows, and third-party store integrations. Documents & Contracts Contract generation, digital agreements, and secure document management. Key Responsibilities 1. Technical Leadership & System Design Architect and scale global payment systems to handle high-volume transactions. Integrate with international payment providers and optimize payment flows. Improve systems for subscriptions, tax calculation, invoices, and coupon handling. Lead development of dynamic payment links and estimate generation tools. Drive real-time financial analytics and reporting. Enhance document and contract workflows to meet legal and financial compliance standards. 2. Global Payment Expansion Enable multi-currency support and cross-border transactions. Ensure compliance with local financial regulations and tax laws. Implement region-specific fraud detection and prevention mechanisms. 3. Team Leadership & Execution Lead and mentor engineering teams across multiple payment domains. Establish and uphold engineering best practices and high-quality coding standards. Partner with Product, Finance, Risk, and Compliance to align engineering with business goals. Foster a culture of ownership, innovation, and technical excellence. Conduct performance evaluations and support career development. 4. Stakeholder Collaboration Align technical solutions with business strategy and customer experience. Coordinate with external payment providers to enhance transaction reliability and security. Required Skills & Experience Proven experience in system design and scalable microservices architecture. Deep understanding of the global payments landscape, subscriptions, tax handling, and eCommerce systems. Hands-on experience with: Payment gateways , tokenization, and fraud prevention Node.js and NestJS for backend development Vue.js for frontend applications MongoDB and Elasticsearch for data management and search Experience in event-driven architectures and real-time transaction processing. Strong grasp of security best practices in payment and financial systems.

About NAKAD: NAKAD is a pioneering companyfounded by alumni from prestigious institutions such as IIM Ahmedabad, IIT Bombay, and IIT Guwahati, who have previously worked at BCG, HUL, and Oracle. We are at the forefront of transforming ledgerreconciliation through our AI &ML-powered product, ARP. In addition, we are revolutionizing supply chain finance through innovative tokenization mechanisms, enhancing credit accessibility for MSMEs. Professional Background: As a Reconciliation Specialist at NAKAD, you will play a key role in performing reconciliation using our tool while ensuringthe accuracy of the results.We are seeking a qualified professional with the following background and experience: Minimum of 2 years of reconciliation experience within the finance department. Proven experience in interacting with other accountants as part of dispute resolution processes. Preferred experience with popularERPs like Tally, SAP, or similar systems. Strong accounting background with effective communication skills. Experience working in the finance department of a mid-size enterprise or experience with CA audit firms. Skills Required: The successful candidate should possess the following skills and abilities: Advanced proficiency in Excel. Intermediary to advanced knowledgeof accounting principles. Effective communication skills, with the ability to collaborate and resolve discrepancies with other team members. Logical reasoning and analytical skills Values Required: At NAKAD, we value individuals who embody the following principles: Speak Up About Any Problem or Challenge: Encourage open and honest communication regarding any issues or challenges encountered during reconciliation processes. 80:20 Rule: Strive for excellence while maintaining efficiency and effectiveness in your role. Get It Done Today: Demonstrate a sense of urgency and commitment to completing tasks promptly. Optimistic Perseverance: Maintain a positive outlook and determination when faced with challenging reconciliation tasks. Key Responsibilities: Conduct meticulous vendor to vendor reconciliation using our tool to ensure accuracy and identify discrepancies. Collaborate effectively with other accountants to resolve disputes and discrepancies within financial records. Knowledge of ERP systems such as Tally, SAP, or similar platforms to streamline and enhance reconciliation processes. Maintain clear and effective communication with team members regarding reconciliation status and findings. Deliver the reconciled outputs in a time-bound manner. Apply logical reasoning and analytical skills to identify and address reconciliation issues promptly. Continuously improve reconciliation processes and recommend enhancements to optimize efficiency and accuracy. Uphold the values of speaking up about problemsor challenges, achieving tasks promptly, and maintaining an optimistic and persevering attitude. Benefits: Competitive salaryand comprehensive benefitspackage Opportunity to work with cutting-edge AI & ML technology Collaborative and dynamic work environment Exposure to diverse clients and industries Professional development and training opportunities

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe. Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you. As an Associate Technical Writer! You'll create, update, and peer-review technical user guides, reference guides, programming guides, and all product documentation for our cutting-edge data security software. Provide editorial support for product descriptions, release notes, corporate security policies, performance reports, security reports, and white papers on various use cases of Protegrity products and data security technology solutions. If you have a strong technical background, excellent command of the English language, and a passion for writing and editing technical documentation, we want to hear from you. Responsibilities Organize material, write, edit, and publish new and existing product documentation for a sophisticated security technology user audience. Work with Documentation Manager to participate in efforts to peer review, restructure, optimize, improve, and expand the product documentation set. Participate in efforts mentor junior writers in documentation activities. Interpret product specifications and incorporate into product documentation. Work with Product Management, R&D, and QA teams to gather documentation requirements. Interview and interact with R&D and QA teams to interpret product specifications. Gather information and research material to develop an in-depth knowledge of product technologies. Create graphics and illustrations such as process and data flows. Contribute content for presentations, white papers, web pages and any materials used for internal or external communication about Protegrity products. Qualifications Bachelor's degree in English, Communications, Technical Writing, or a related field. 2 years relevant experience writing highly technical software documentation targeted to audiences of various skill levels. Strong attention to detail and ability to work independently. Ability to understand and explain complex technical concepts in a clear and concise manner. Ability to be immersed in the technology and very quickly develop product knowledge. Excellent command of written and spoken English language, including software development vocabulary. Exhibit excellent analytical and problem solving skills. Familiarity with the Markdown markup language. Expert knowledge of the Microsoft Office suite. Experience creating graphics using PowerPoint, Visio, SnagIT or other drawing tools. Strong technical educational background, Software engineering or QA background, a big plus! Experience with source control tools, such as, Subversion, GIT. Experience in generating HTML (web) product help, and online help Desired Skills Prior experience in writing and editing product and service documentation for data security software products. Experience in developing training materials for technology users. Experience in working with offshore authors and engineers. Experience with wikis and task tracking systems, ideally Confluence and JIRA. Experience with bug tracking systems such as JIRA. Familiarity with Agile methodologies and software development lifecycle. Why Choose Protegrity Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation. Competitive Compensation/Total Reward Packages that include: Health Benefits (Health/Dental/Vision) Paid Time Off (PTO) Work on global projects with diverse, energetic, team members who respect each other and celebrate differences Talent First Workforce Working Model This role is available as fully home-based and generally would require you to attend on-site meetings only occasionally based on business needs. In certain circumstances the work model may change to accommodate business needs. Should you accept this position, you must consent to and pass a Background Investigation, which includes (subject to country law), extended education, and additional criminal and civil checks. We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status. Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information.

JOB DESCRIPTION “While we have our offices in Bangalore, Chennai, Hyderabad, Nagpur and Pune this position is hybrid with you being able to report to a location nearest to your current location, if the need arises.” We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Master’s in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau). Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. RESPONSIBILITIES Key Responsibilities Preprocess and clean raw text data for downstream NLP applications (e.g., tokenization, normalization, entity recognition). Annotate and label datasets for supervised learning tasks (e.g., intent classification, sentiment analysis, NER). Analyze and visualize linguistic patterns and insights from textual data. Work with data scientists to evaluate and improve model performance. Support the development of rule-based and machine learning-based NLP pipelines. Document and maintain guidelines for annotation and linguistic QA. Collaborate with stakeholders to understand domain-specific language challenges and requirements QUALIFICATIONS Required Qualifications Bachelor’s degree in Linguistics, Computer Science, Data Science, or a related field. 3+ years of hands-on experience with text analysis or NLP tasks. Proficiency in Python and common NLP libraries (e.g., spaCy, NLTK, pandas). Experience working with annotation tools (e.g., Prodigy, Labelbox, doccano). Strong understanding of language structure and linguistic features. Ability to apply regular expressions and text parsing techniques effectively. Familiarity with data visualization tools and basic statistics. Preferred Qualifications Experience in domain-specific NLP (e.g., clinical/biomedical, legal, financial). Knowledge of vectorization methods (TF-IDF, word2vec, BERT embeddings). Exposure to ML model evaluation metrics (e.g., precision, recall, F1 score). Experience with SQL and working with large datasets. Familiarity with LLMs (e.g., OpenAI, Hugging Face Transformers). Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work. WHO WE ARE Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed. WHAT WE BELIEVE At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special. We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet. Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time. ABOUT US Perficient is always looking for the best and brightest talent and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, experience work-life balance, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Select work authorization questions to ask when applicants apply 1. Are you legally authorized to work in the United States? 2. Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe. Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you. As a Software Engineer for the DevOps Team, you will be responsible for implementing and managing the DevOps approach within an organization. This role is crucial in bridging the gap between development and operations teams, ensuring seamless collaboration and efficient delivery of high-quality software products. You should know how to design, implement, and maintain tools and processes for continuous integration, delivery, and deployment (CI/CD) of software using various cloud platforms. The primary goal is to automate repetitive tasks, reduce manual intervention, and improve the overall user experience, quality, and reliability of software products. Responsibilities Design, develop, test, and maintain CI/CD pipelines, and maintain continuous integration, delivery, and deployment (CI/CD) processes using tools like Jenkins, Git, Artifactory, Docker, etc. Define and set development, test, release, update, and support processes for DevOps operations. Automate, manage, and optimize the deployment and infrastructure of applications on public clouds like AWS, Azure, GCP. Collaborate with development and operations teams to identify and address bottlenecks in the software development lifecycle. Troubleshoot and resolve issues related to application development, deployment, and operations. Monitor and manage infrastructure, ensuring optimal performance, security, and scalability. Understand how to choose the best tools and technologies that best fit the business needs. Qualifications BE/ME/MCA or any other degree in a related field. 3-7 years of relevant DevOps experience. Hands-on experience with various DevOps concepts and tools like Continuous Integration (CI) and Continuous Delivery (CD), Git, Jenkins, SonarQube, Artifactory/Nexus. Strong knowledge of programming languages, such as Python, Ruby, or Java.Experience in building, designing, and maintaining cloud-based applications with AWS, Azure, GCP, etc. Knowledge of container and container orchestration tools like Docker, AWS ECS, Kubernetes. Experience working on Linux-based infrastructure. Excellent communication and collaboration skills, as well as the ability to work effectively in cross-functional teams. Knowledge of data protection, privacy, and security domains. Why Choose Protegrity Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation. Competitive Compensation/Total Reward Packages that include: Paid Time Off (PTO). Annual Bonus Incentives. Work on global projects with diverse, energetic, team members who respect each other and celebrate differences. Talent First Workforce. Working Model This role is available as fully home-based and generally would require you to attend on-site meetings only occasionally based on business needs. Should you accept this position, you must consent to and pass a Background Investigation, which includes (subject to country law), extended education, and additional criminal and civil checks. We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status. Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information.

Job Title: NLP Engineer Job Description Job Title: NLP Engineer (Applied AI & Agentic Systems) About Us We’re building the next generation of AI-powered agentic systems — intelligent bots, assistants, and custom AI agents that integrate with APIs, databases, and business logic to drive real value. Our platforms focuses on practical, scalable AI applications rather than pure research — and we’re looking for NLP engineers who can help us push the boundaries. What You’ll Do Build and fine-tune LLM-powered agents and assistants using cutting-edge NLP techniques. Design and implement workflows that combine natural language processing with API calls, database queries, and business logic. Evaluate and apply the right LLMs (OpenAI, Claude, Mistral, etc.) and fine-tune when necessary. Collaborate with cross-functional teams to understand product needs and shape AI-based solutions. Help teams integrate AI into their projects by providing technical guidance and best practices. Develop prompt engineering strategies and reusable agent components. Stay up to date with the latest trends in NLP, LLMs, RAG (Retrieval-Augmented Generation), and agentic frameworks like LangChain, AutoGen, etc. Participate actively in Agile/Scrum processes — sprint planning, standups, retrospectives, and continuous delivery. Be a strong team player — communicative, proactive, and focused on shared success. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Experience with prompt engineering and chaining LLM calls into workflows. Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have Knowledge of Python and working with AI SDKs. Qualifications: Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. 2/3+ years of experience in natural language processing or a related field. Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Experience with text preprocessing techniques and tools. Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

About Godrej Agrovet Godrej Agrovet Limited (GAVL) is a diversified, Research & Development focused agri-business Company dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. GAVL holds leading market positions in the different businesses it operates - Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry and Processed Foods. GAVL has a pan India presence with sales of over a million tons annually of high-quality animal feed and cutting- edge nutrition products for cattle, poultry, aqua feed and specialty feed. Our teams have worked closely with Indian farmers to develop large Oil Palm Plantations which is helping in bridging the demand and supply gap of edible oil in India. In the crop protection segment, the company meets the niche requirement of farmers through innovative agrochemical offerings. GAVL through its subsidiary Astec Life Sciences Limited, is also a business-to-business (B2B) focused bulk manufacturer of fungicides & herbicides. In Dairy and Poultry and Processed Foods, the company operates through its subsidiaries Creamline Dairy Products Limited and Godrej Tyson Foods Limited. Apart from this, GAVL also has a joint venture with the ACI group of Bangladesh for animal feed business in Bangladesh. For more information on the Company, please log on to www.godrejagrovet.com . Designation Location Mumbai Job Purpose We are seeking a highly skilled and experienced IT & OT Infrastructure, Data, and Applications Security Manager to lead the security strategy and implementation for IT & OT (Operational Technology) environments. This role is responsible for ensuring that critical infrastructure, network systems, and applications are secure from cyber threats while ensuring operational continuity in both the IT and OT domains. The position requires a deep understanding of both IT and OT security frameworks, as well as an ability to collaborate with cross-functional teams to safeguard digital assets and operations. Roles & Responsibilities IT & OT Infrastructure Security: Develop, implement, and maintain security policies, procedures, and controls to protect IT & OT infrastructure components, including servers, networks, industrial control systems (ICS), SCADA, and cloud environments. Collaborate with IT teams to ensure secure integration between IT and OT systems, addressing the unique security requirements of each domain. Conduct regular risk assessments, vulnerability scans, and penetration tests to identify and mitigate threats in IT & OT infrastructures. Manage the security of industrial networks, SCADA systems, and IIoT (Industrial Internet of Things) devices to prevent cyber threats and ensure safe operations. Implement and maintain security for cloud services, on-premises data centers, and critical OT assets, ensuring compliance with industry standards. Data Security: Implement data encryption, tokenization, and masking techniques to protect sensitive and proprietary data across systems, databases, and storage devices. Oversee data classification processes and ensure data protection in compliance with legal and regulatory requirements (GDPR, CCPA, HIPAA, etc.). Ensure proper data backup, disaster recovery, and business continuity planning related to data security. Conduct data loss prevention (DLP) assessments and implement preventative controls. Manage access control policies for databases and ensure segregation of duties for sensitive information. Network Security: Develop and maintain robust network security architecture for IT & OT networks, ensuring protection against unauthorized access, data breaches, and cyber-attacks. Monitor and analyze network traffic and logs to detect potential threats, vulnerabilities, and anomalous activities across IT & OT networks. Implement network segmentation to isolate IT and OT environments while ensuring controlled data exchange between systems. Configure and manage firewalls, intrusion detection/prevention systems (IDS/IPS), and secure VPNs to protect networks from external and internal threats. Manage secure communication channels for IT/OT devices and ensure the proper functioning of secure remote access protocols for IT/OT systems. Applications Security: Lead the implementation of secure application development practices for OT applications. Work with development and OT engineering teams to incorporate secure coding practices into OT software systems. Conduct regular security assessments and code reviews for applications, ensuring that vulnerabilities are identified and mitigated. Oversee security testing of OT applications, including SCADA systems, human-machine interfaces (HMIs), and industrial control software, to ensure that security controls are in place. Implement security controls around application access, user authentication, and data integrity for OT applications. Incident Response & Threat Management: Lead and coordinate response efforts to security incidents involving OT systems, ensuring that containment, investigation, and remediation processes are followed efficiently. Develop and maintain incident response plans that address OT-specific risks, ensuring minimal disruption to critical operations. Conduct post-incident analysis to identify root causes, recommend improvements, and apply corrective actions to prevent future occurrences. Collaborate with internal and external teams (e.g., law enforcement, vendors) during security incidents that may impact OT systems. Security Governance and Compliance: Ensure compliance with relevant industry regulations, standards, and frameworks (e.g., NIST, ISO 27001, IEC 62443, NERC CIP) in OT environments. Implement and enforce security governance, risk management, and compliance strategies across OT assets. Perform regular audits and assessments of OT security controls to ensure compliance with security policies and regulatory requirements. Maintain comprehensive security documentation, including risk assessments, incident reports, and security project plans. Security Awareness and Training: Develop and conduct security awareness training programs for OT staff, ensuring that they are educated on security best practices, emerging threats, and organizational policies. Provide ongoing education to the OT team about the importance of cybersecurity in the context of industrial operations and critical infrastructure. Stay current with emerging security trends, threats, and vulnerabilities specific to OT environments and incorporate new knowledge into security practices. Educational Qualification : Bachelor's degree in Computer Science, Information Security, Cybersecurity, Engineering, or a related field (Master’s preferred). Experience Minimum of 5 to 6 years of experience in IT & OT security, Data security, and application security. Extensive experience securing both OT (industrial control systems, SCADA, ICS, IIoT) environments. Proven experience with network segmentation, firewalls, IDS/IPS, VPNs, and application security frameworks. Familiarity with securing operational technology, including understanding of industrial protocols (Modbus, OPC, DNP3, etc.). Hands-on experience with OT vulnerability management, incident response, and threat intelligence processes. Skills Expertise in securing network and infrastructure devices, systems, and industrial control systems (ICS). Deep knowledge of network protocols and security mechanisms (e.g., IP, TCP/IP, VPNs, firewalls). Proficiency in securing cloud environments (AWS, Azure, Google Cloud) as well as on-premises systems. Experience with tools for vulnerability scanning, penetration testing, and risk assessments (e.g., Nessus, Qualys, Burp Suite). Certifications: CISSP, CISM, CISA, or similar certifications are preferred. OT-specific certifications such as Certified SCADA Security Architect (CSSA) or IEC 62443 certification a plus. Network security certifications such as CCSP, AWS Certified Security Specialty, or CCNA Security are beneficial. Application security certifications (e.g., CEH, OWASP) are a bonus. An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It’s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognize merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, color, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you.

Company Description Intelisync is a leading blockchain development and Web3 marketing firm based in Pune. We specialize in building secure, scalable decentralized applications and ecosystems, focusing on areas such as RWA tokenization, DeFi solutions, and AI integration. Our expertise in cybersecurity and cloud infrastructure ensures resilient and future-proof platforms, while our Web3 marketing strategies drive user growth and engagement. https://www.intelisync.ai/ Role Description This is a full-time on-site role for a Business Development Executive at Intelisync. The role involves tasks such as new business development, lead generation, business communication, and account management. Qualifications New Business Development and Lead Generation skills Strong Business and Communication skills Account Management skills Experience in blockchain technology or Web3 marketing Excellent negotiation and presentation skills Bachelor's degree in Business Administration, Marketing, or related field

Role Overview We're seeking a skilled developer to design, build, and maintain AI‑driven chatbot and automation applications using Python and state‑of‑the‑art AI frameworks. You'll integrate conversational AI (e.g., ChatGPT), vector databases, and backend APIs to deliver intelligent, context-aware solutions. Key Responsibilities Design, develop, and deploy AI‑powered chatbots and generative-AI applications using Python reddit.com+3upwork.com+3reddit.com+3reddit.com+2in.indeed.com+2expertia.ai+2. Integrate and fine-tune large language models (ChatGPT/GPT‑4), adapting them to business-specific use cases . Build and maintain backend APIs using frameworks like Flask or FastAPI upwork.com+1builtin.com+1. Leverage tools like LangChain, Pinecone, Weaviate, or other vector databases for RAG pipelines upwork.com+1cutshort.io+1. Apply NLP techniques (tokenization, intent detection, sentiment analysis, entity extraction) for improved conversational intelligence upwork.com+2adzuna.in+2builtin.com+2. Fine-tune and optimize model performance with prompt engineering, A/B testing, and feedback loops in.indeed.com. Collaborate with UX, frontend, and product teams to build seamless chat interfaces and end-to-end experiences. Ensure security, privacy, and best practices in API and data-handling workflows reddit.com+3jobed.ai+3in.indeed.com+3. Monitor, debug, and enhance performance of AI systems; participate in code reviews and agile development. Stay informed on the latest advancements in AI, NLP, and chatbot technologies byteplus.com+5byteplus.com+5expertia.ai+5builtin.com. Required Qualifications 3+ years of professional Python development experience in.indeed.com+12coursera.org+12cutshort.io+12. Strong background in AI/ML/NLP with frameworks like TensorFlow, PyTorch, Hugging Face in.indeed.com. Hands-on ChatGPT (or similar LLM) integration experience via API in.indeed.com+1byteplus.com+1. Familiarity with vector DBs—Pinecone, Weaviate, pg_vector, etc. reddit.com+2upwork.com+2cutshort.io+2. Experience building secure, performant RESTful APIs (Flask/FastAPI/Django) coursera.org+4pyjobs.com+4reddit.com+4. Proficiency in SQL/NoSQL databases (PostgreSQL, MongoDB, MySQL) moldstud.com+13expertia.ai+13builtin.com+13. Solid understanding of software best practices: testing, CI/CD, version control (Git) reddit.com+1reddit.com+1. Strong communication and teamwork mindset; prior agile or cross-functional collaboration Preferred Qualifications Experience with prompt engineering and model fine-tuning jobed.ai+6in.indeed.com+6byteplus.com+6. Familiarity with Redis, Elasticsearch, Celery for real-time and async systems. Experience deploying ML services on cloud platforms (AWS, GCP, Azure) . Frontend skills (JavaScript, React) for building chat UI components . Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Schedule: Monday to Friday Work Location: Hybrid remote in Bengaluru Urban, Karnataka

About Us Join Hypersonix , the premier AI-driven platform revolutionizing eCommerce and retail profitability. In an industry where 70% of businesses struggle with stagnation, escalating costs, and unpredictable risks, Hypersonix provides real-time, actionable intelligence powered by its proprietary Commerce Large Language Model . We equip businesses with AI-driven insights to optimize sales, competition analysis, and demand forecasting—seamlessly integrating with major eCommerce, ERP, and financial platforms. Hypersonix enables businesses to identify risks and opportunities faster, ensuring sustainable, profitable growth. Our mission? To help retailers not just survive but thrive. Be part of a team that’s reshaping the future of commerce with cutting-edge AI. Join us and make an impact ! 🚀 Roles and Responsibilities: Conduct in-depth data analysis to identify patterns, trends, and key insights Design, code, and maintain parts of the product and drive customer adoption Work with structured and unstructured (text) data, performing extensive exploratory data analysis (EDA) and feature engineering Develop and validate statistical models and machine learning algorithms to solve real-world business problems Implement and maintain data pipelines, ensuring scalability and performance Utilize Python and relevant open-source libraries for data processing, visualization, and predictive modeling Run and fine-tune open-source Large Language Models (LLMs) for NLP tasks (preferred but not mandatory) Collaborate with cross-functional teams to drive data-driven decision-making and product development Requirements: Currently pursuing or completed a Bachelor’s/Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science) Strong programming skills in Python (including Pandas, NumPy, Scikit-learn) and experience with SQL for data querying and manipulation Experience with text data processing (e.g., NLP, regex, tokenization) is a plus Prior exposure to open-source LLMs (e.g., Llama, Mistral) is a plus Strong problem-solving skills, attention to detail, and ability to work independently and in teams Strong scripting and test automation abilities Only those candidates can apply who: Available for the work from home job/internship Can start internship Immediately Are available for a duration of 6 months Have relevant skills and interests This is a paid internship. No college credit is offered Powered by JazzHR NWCOONV1yM

Company Description EcoRatings is a company founded by experienced entrepreneurs focused on helping companies, Web3 Infrastructure, Governments, and Quasi-Government agencies achieve their sustainability goals. Utilizing enterprise-grade Generative AI and Blockchain technologies, EcoRatings provides solutions for data organization, carbon measurement, reporting, and validation (MRV) tasks. Their flagship product, sustaining.ai, is a pre-trained, fine-tuned model responding to sustainability-related queries with AI Agents autonomously executing MRV tasks. EcoRatings also leverages the Solana blockchain for Carbon Credits and tokenization of Real World Assets (RWA). Role Description This is a full-time, on-site role for a Sales Manager - ESG Sales based in Noida. The Sales Manager will be responsible for developing and executing sales strategies, identifying and targeting prospective clients, building and maintaining client relationships, and achieving sales targets in the ESG sector. Additionally, the role involves collaborating with the marketing and product teams to ensure alignment of sales tactics with overall company objectives. Qualifications Proven sales experience in ESG, Sustainability, or related fields Excellent communication, negotiation, and presentation skills Strong understanding of Generative AI and Blockchain technologies Experience in client relationship management and business development Ability to work collaboratively with cross-functional teams Sound knowledge of carbon measurement, reporting, and validation (MRV) practices Bachelor's or master's degree in business, Marketing, Environmental Sciences, or a related field Proficiency in using CRM software and other sales tools Sales Leadership & Execution Take full ownership of the inside sales cycle from lead engagement to deal closure. Act as the first point of contact for potential clients — handling meetings, demos, and product walk-throughs (with or without a technical team member). Maintain active coordination with technical pre-sales and product teams for solutioning. Proposal Development & Customization Draft customized sales proposals, pitch decks , and pricing documentation. Understand client ESG and compliance needs to map our AI-powered solutions accordingly. Create persuasive, solution-oriented documents tailored to industry-specific use cases. Closing & Revenue Ownership Own monthly and quarterly targets for closures and revenue. Maintain a high conversion rate from opportunities to signed deals. Negotiate pricing, contract terms, and deal structures while aligning with business goals. CRM, Pipeline & Reporting Use CRM systems (e.g., Salesforce, HubSpot) to track opportunities, interactions, and performance. Generate sales forecasts and pipeline status reports for leadership. Collaborate with marketing for follow-ups on leads generated via campaigns. Client Engagement & Travel Represent the company in virtual and in-person meetings, industry events, and client visits. Willingness to travel domestically (when required) for key account meetings or demos. Required Skills & Experience Bachelor’s degree in business, Sales, Marketing, or related field; MBA is a plus. 2+ years of experience in B2B software sales , ideally in SaaS, AI, or ESG-related sectors. Strong experience in proposal writing, pitching, and closing enterprise deals. Knowledge of AI concepts (LLM, SLM, RAG) and ESG frameworks is highly desirable. Excellent written and verbal communication, presentation, and negotiation skills. Proficient with sales tools: CRM systems, Google Workspace/MS Office, and virtual meeting tools. Performance Metrics (KPIs) Closures per Month/Quarter Proposal to Deal Conversion Rate Client Engagement Effectiveness Sales Pipeline Velocity and Forecast Accuracy

Title: Machine Learning Engineer Primary Location: Hyderabad/Trivandrum(Onsite) Job Type: Contract Secondary Location: Any Infosys Office Location In this position you will: • Design and implement NLP pipelines for document analysis and artifact generation. • Perform data cleaning and transformation on unstructured text using industry-standard techniques. • Develop embeddings and semantic search pipelines using OpenAI, HuggingFace, or custom models. • Integrate vectorized data with retrieval systems such as MongoDB Vector, FAISS or Pinecone. • Fine-tune and evaluate LLMs for use cases like test case generation, user story summarization, etc. • Monitor model performance and conduct regular evaluations with precision/recall/F1/BLEU. • Collaborate with backend developers to expose ML outputs via APIs. • Participate in architectural design and PoCs for GenAI-based solutions. • Adhere to and implement Responsible AI principles in all ML workflows. • Work closely with product owners and testers to ensure the quality and usability of generated outputs. Required Qualifications: • 5+ years of experience in in data science and AI/ML engineering with strong proficiency in Python and applied NLP • Deep expertise in NLP techniques including: Text classification, Named Entity Recognition (NER), Summarization, Sentiment analysis, Topic modeling • Strong experience in data preprocessing and cleaning :Tokenization, stop-word removal, stemming/lemmatization, normalization. • Strong Experience in vectorization methods: TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers. Demonstration experience of vectorization and implement solutions to contextual search is must • Hands on Experience in implementing Lang Chain, RAG architecture, and multi-agent orchestration, Agentic AI, scikit learn, python is must • Hands-on with embedding models (e.g., OpenAI, Hugging Face Transformers) and chunking strategies • Experience with vector stores: MongoDB atlas Vector DB, FAISS, Pinecone, Chroma DB. • Skilled in building and fine-tuning LLMs and prompt engineering is must • Experience with MLOps frameworks for model lifecycle, versioning, deployment, and monitoring. • Strong knowledge of LLMOps, NumPy, PySpark for data wrangling. • Experience deploying models on Azure (preferred), AWS, or GCP. • Understanding of Responsible AI practices including model fairness, transparency, and auditability. • Strong knowledge of machine learning frameworks, deep learning architectures, natural language processing and generative models (e.g., GANs, transformers). Preferred Qualifications: • 3 + years of experience building, scaling, and optimizing training and inferencing systems for deep neural networks and/or transformer architectures. • Demonstrated ability in research and development teams with a focus on generative AI technologies and suggesting new ideas or opportunities. • Experience in managing production scale pre training models (private or public cloud) or setting up GPU clusters for In house LLM deployments • Familiarity with AI Governance, ethics, compliance, and regulatory considerations. Education: • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. • Master’s degree or PhD preferred. Thanks Aatmesh aatmesh.singh@ampstek.com

Hi, Hope you are doing well. Please do let me know if you are interested and looking for a job change at this moment. find the detailed job description, and it will be really appreciated if you can share with me your updated resume and best number to reach. ML Engineer Hyderabad/Trivandrum-Onsite Contract Position Summary: We are seeking a dynamic Senior Machine Learning Engineer focused on advancing our generative AI capabilities. You will contribute to building scalable AI systems that impact real world Enterprise applications, while promoting responsible AI practices and collaborating across teams to accelerate innovation. In this position you will: • Design and implement NLP pipelines for document analysis and artifact generation. • Perform data cleaning and transformation on unstructured text using industry-standard techniques. • Develop embeddings and semantic search pipelines using OpenAI, HuggingFace, or custom models. • Integrate vectorized data with retrieval systems such as MongoDB Vector, FAISS or Pinecone. • Fine-tune and evaluate LLMs for use cases like test case generation, user story summarization, etc. • Monitor model performance and conduct regular evaluations with precision/recall/F1/BLEU. • Collaborate with backend developers to expose ML outputs via APIs. • Participate in architectural design and PoCs for GenAI-based solutions. • Adhere to and implement Responsible AI principles in all ML workflows. • Work closely with product owners and testers to ensure the quality and usability of generated outputs. Required Qualifications: • 5+ years of experience in in data science and AI/ML engineering with strong proficiency in Python and applied NLP • Deep expertise in NLP techniques including: Text classification, Named Entity Recognition (NER), Summarization, Sentiment analysis, Topic modeling • Strong experience in data preprocessing and cleaning :Tokenization, stop-word removal, stemming/lemmatization, normalization. • Strong Experience in vectorization methods: TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers. Demonstration experience of vectorization and implement solutions to contextual search is must • Hands on Experience in implementing Lang Chain, RAG architecture, and multi-agent orchestration, Agentic AI, scikit learn, python is must • Hands-on with embedding models (e.g., OpenAI, Hugging Face Transformers) and chunking strategies • Experience with vector stores: MongoDB atlas Vector DB, FAISS, Pinecone, Chroma DB. • Skilled in building and fine-tuning LLMs and prompt engineering is must • Experience with MLOps frameworks for model lifecycle, versioning, deployment, and monitoring. • Strong knowledge of LLMOps, NumPy, PySpark for data wrangling. • Experience deploying models on Azure (preferred), AWS, or GCP. • Understanding of Responsible AI practices including model fairness, transparency, and auditability. • Strong knowledge of machine learning frameworks, deep learning architectures, natural language processing and generative models (e.g., GANs, transformers). Preferred Qualifications: • 3 + years of experience building, scaling, and optimizing training and inferencing systems for deep neural networks and/or transformer architectures. • Demonstrated ability in research and development teams with a focus on generative AI technologies and suggesting new ideas or opportunities. • Experience in managing production scale pre training models (private or public cloud) or setting up GPU clusters for In house LLM deployments • Familiarity with AI Governance, ethics, compliance, and regulatory considerations. Education: • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. • Master’s degree or PhD preferred. Thanks, and Regards Snehil Mishra snehil@ ampstek.com linkedin.com/in/snehil-mishra-1104b2154 Desk-6093602673Extension-125 www.ampstek.com https://www.linkedin.com/company/ampstek/jobs/ Ampstek – Global IT Partner Registered Offices: North America and LATM: USA|Canada|Costa Rica|Mexico Europe:UK|Germany|France|Sweden|Denmark|Austria|Belgium|Netherlands|Romania|Poland|Czeh Republic|Bulgaria|Hungary|Ireland|Norway|Croatia|Slovakia|Portugal|Spain|Italy|Switzerland|Malta| Portugal APAC:Australia|NZ|Singapore|Malaysia|South Korea|Hong Kong|Taiwan|Phillipines|Vietnam|Srilanka|India MEA :South Africa|UAE|Turkey|Egypt

Job Title: NLP Engineer Job Description Job Title: NLP Engineer (Applied AI & Agentic Systems) About Us We’re building the next generation of AI-powered agentic systems — intelligent bots, assistants, and custom AI agents that integrate with APIs, databases, and business logic to drive real value. Our platforms focuses on practical, scalable AI applications rather than pure research — and we’re looking for NLP engineers who can help us push the boundaries. What You’ll Do Build and fine-tune LLM-powered agents and assistants using cutting-edge NLP techniques. Design and implement workflows that combine natural language processing with API calls, database queries, and business logic. Evaluate and apply the right LLMs (OpenAI, Claude, Mistral, etc.) and fine-tune when necessary. Collaborate with cross-functional teams to understand product needs and shape AI-based solutions. Help teams integrate AI into their projects by providing technical guidance and best practices. Develop prompt engineering strategies and reusable agent components. Stay up to date with the latest trends in NLP, LLMs, RAG (Retrieval-Augmented Generation), and agentic frameworks like LangChain, AutoGen, etc. Participate actively in Agile/Scrum processes — sprint planning, standups, retrospectives, and continuous delivery. Be a strong team player — communicative, proactive, and focused on shared success. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Experience with prompt engineering and chaining LLM calls into workflows. Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have Knowledge of Python and working with AI SDKs. Qualifications: Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. 2/3+ years of experience in natural language processing or a related field. Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Experience with text preprocessing techniques and tools. Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1627766

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Lilly’s Purpose At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 42,000+ employees across the globe work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work and put people first. Come build advanced software capabilities to accelerate our digital transformation and support Lilly’s evolution to be the leader in Pharma-tech! The Role The Software Product Engineering (SPE) organization is actively looking for a Senior Quality Engineer with strong hands-on experience in AI platform testing, chatbot testing, AI model validation, agents testing, AI test automation, and API testing . This is a highly specialized role focused on validating complex AI and ML systems and ensuring scalable, safe, and effective deployment of AI-based solutions. UI automation experience using tools like Selenium , Cypress , or Playwright is desirable as a secondary skill . What You’ll Be Doing You will drive quality engineering initiatives specifically focused on AI-powered platforms and solutions , including LLMs, chatbots, AI agents, and intelligent workflows. You’ll build robust test strategies and frameworks to validate data pipelines, model inference accuracy, prompt engineering, hallucination control, API contracts, and performance under real-world conditions. This role requires strong analytical and problem-solving skills, a deep understanding of AI systems testing, and the ability to collaborate across multidisciplinary teams such as SWE, SRE, ML Engineering, and Product. Key Responsibilities AI Platform & Model Testing (Primary Focus): Validate the behaviour and performance of AI/ML models, including LLMs, RAG pipelines, chatbots, and autonomous agents. Design and execute prompt evaluation, response accuracy, toxicity detection, and hallucination control test scenarios. Implement and enhance automated AI testing frameworks tailored to model versioning, retraining, and feedback loops. Ensure quality in human-in-the-loop (HITL) and continuous learning pipelines. API Testing: Conduct thorough API validation using Postman, REST Assured, or GraphQL, with a focus on AI service endpoints, inference APIs, and orchestrators. Build robust integration test suites to ensure seamless functionality between APIs and underlying AI systems. AI Test Automation: Build test harnesses to validate AI features through synthetic data, mock services, and model stubs. Integrate test suites into CI/CD pipelines to ensure continuous validation of AI behaviors. UI and Functional Test Automation (Secondary Focus): Support end-to-end automation of AI-powered applications using tools such as Selenium, Cypress, Playwright, and WebdriverIO. Automate critical user journeys involving AI-enabled decisions and interactions. Collaboration & Test Strategy: Work closely with ML Engineers, SREs, and Product Managers to translate model design into testable components. Monitor AI behavior in production using observability tools and adjust quality strategies based on live insights. Drive discussions on fairness, bias, explainability, and model drift. Agile & DevOps Integration: Participate in Agile ceremonies and actively contribute to sprint planning, test case reviews, and retrospectives. Collaborate with DevOps teams to embed AI testing into CI/CD workflows using tools like GitHub, Jenkins, and Azure DevOps. Required Technical Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field 6+ years of experience in Quality Engineering with at least 2 years in AI platform testing or model validation Hands-on experience in AI model testing, chatbot testing, prompt tuning, or agent workflows Proficiency in AI test automation and API testing tools (Postman, REST Assured, GraphQL) Working knowledge of Python, JavaScript, or TypeScript Experience integrating tests into CI/CD pipelines using GitHub, Jenkins, or Azure DevOps Knowledge of OpenAI, Bedrock, Anthropic, LangChain, RAG, and vector stores Understanding of LLM evaluation techniques, including metrics like BLEU, ROUGE, Toxicity Score, and RAGAs Preferred Qualifications Experience testing AI applications hosted in multi-geographical and cloud-native environments (e.g., AWS, GCP, Azure) Exposure to AI observability platforms such as Weights & Biases, Arize AI, or WhyLabs Understanding of prompt engineering, embedding quality, and tokenization behaviour Familiarity with security, performance, or accessibility testing Experience with AI governance frameworks and regulatory compliance (e.g., FDA, HIPAA in AI contexts) Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Lilly’s Purpose: At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 42,000+ employees across the globe work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work and put people first. Come build advanced software capabilities to accelerate our digital transformation and support Lilly’s evolution to be the leader in Pharma-tech! The Role: The Software Product Engineering (SPE) organization is actively looking for a Senior Quality Engineer with strong hands-on experience in AI platform testing, chatbot testing, AI model validation, agents testing, AI test automation, and API testing . This is a highly specialized role focused on validating complex AI and ML systems and ensuring scalable, safe, and effective deployment of AI-based solutions. UI automation experience using tools like Selenium , Cypress , or Playwright is desirable as a secondary skill . What You’ll Be Doing: You will drive quality engineering initiatives specifically focused on AI-powered platforms and solutions , including LLMs, chatbots, AI agents, and intelligent workflows. You’ll build robust test strategies and frameworks to validate data pipelines, model inference accuracy, prompt engineering, hallucination control, API contracts, and performance under real-world conditions. This role requires strong analytical and problem-solving skills, a deep understanding of AI systems testing, and the ability to collaborate across multidisciplinary teams such as SWE, SRE, ML Engineering, and Product. Key Responsibilities: AI Platform & Model Testing (Primary Focus): Validate the behaviour and performance of AI/ML models, including LLMs , RAG pipelines , chatbots , and autonomous agents . Design and execute prompt evaluation , response accuracy , toxicity detection , and hallucination control test scenarios. Implement and enhance automated AI testing frameworks tailored to model versioning, retraining, and feedback loops. Ensure quality in human-in-the-loop (HITL) and continuous learning pipelines. API Testing: Conduct thorough API validation using Postman , REST Assured , or GraphQL , with a focus on AI service endpoints, inference APIs, and orchestrators. Build robust integration test suites to ensure seamless functionality between APIs and underlying AI systems. AI Test Automation: Build test harnesses to validate AI features through synthetic data, mock services, and model stubs. Integrate test suites into CI/CD pipelines to ensure continuous validation of AI behaviors. UI and Functional Test Automation (Secondary Focus): Support end-to-end automation of AI-powered applications using tools such as Selenium , Cypress , Playwright , and WebdriverIO . Automate critical user journeys involving AI-enabled decisions and interactions. Collaboration & Test Strategy: Work closely with ML Engineers , SREs , and Product Managers to translate model design into testable components. Monitor AI behavior in production using observability tools and adjust quality strategies based on live insights. Drive discussions on fairness , bias , explainability , and model drift . Agile & DevOps Integration: Participate in Agile ceremonies and actively contribute to sprint planning, test case reviews, and retrospectives. Collaborate with DevOps teams to embed AI testing into CI/CD workflows using tools like GitHub , Jenkins , and Azure DevOps . Required Technical Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field 6+ years of experience in Quality Engineering with at least 2 years in AI platform testing or model validation Hands-on experience in AI model testing, chatbot testing, prompt tuning , or agent workflows Proficiency in AI test automation and API testing tools (Postman, REST Assured, GraphQL) Working knowledge of Python , JavaScript , or TypeScript Experience integrating tests into CI/CD pipelines using GitHub , Jenkins , or Azure DevOps Knowledge of OpenAI , Bedrock , Anthropic , LangChain , RAG , and vector stores Understanding of LLM evaluation techniques , including metrics like BLEU , ROUGE , Toxicity Score , and RAGAs Preferred Qualifications: Experience testing AI applications hosted in multi-geographical and cloud-native environments (e.g., AWS, GCP, Azure) Exposure to AI observability platforms such as Weights & Biases , Arize AI , or WhyLabs Understanding of prompt engineering , embedding quality , and tokenization behaviour Familiarity with security , performance , or accessibility testing Experience with AI governance frameworks and regulatory compliance (e.g., FDA, HIPAA in AI contexts) Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Job description Job Title: Tech Lead (AI/ML) – Machine Learning & Generative AI Location: Nagpur (Hybrid / On-site) Experience: 8–15 years Employment Type: Full-time Job Summary: We are seeking a highly experienced Python Developer with a strong background in traditional Machine Learning and growing proficiency in Generative AI to join our AI Engineering team. This role is ideal for professionals who have delivered scalable ML solutions and are now expanding into LLM-based architectures, prompt engineering, and GenAI productization. You’ll be working at the forefront of applied AI, driving both model performance and business impact across diverse use cases. Key Responsibilities: Design and develop ML-powered solutions for use cases in classification, regression, recommendation, and NLP. Build and operationalize GenAI solutions, including fine-tuning, prompt design, and RAG implementations using models such as GPT, LLaMA, Claude, or Gemini. Develop and maintain FastAPI-based services that expose AI models through secure, scalable APIs. Lead data modeling, transformation, and end-to-end ML pipelines, from feature engineering to deployment. Integrate with relational (MySQL) and vector databases (e.g., ChromaDB, FAISS, Weaviate) to support semantic search, embedding stores, and LLM contexts. Mentor junior team members and review code, models, and system designs for robustness and maintainability. Collaborate with product, data science, and infrastructure teams to translate business needs into AI capabilities. Optimize model and API performance, ensuring high availability, security, and scalability in production environments. Core Skills & Experience: Strong Python programming skills with 5+ years of applied ML/AI experience. Demonstrated experience building and deploying models using TensorFlow, PyTorch, scikit-learn, or similar libraries. Practical knowledge of LLMs and GenAI frameworks, including Hugging Face, OpenAI, or custom transformer stacks. Proficient in REST API design using FastAPI and securing APIs in production environments. Deep understanding of MySQL (query performance, schema design, transactions). Hands-on with vector databases and embeddings for search, retrieval, and recommendation systems. Strong foundation in software engineering practices: version control (Git), testing, CI/CD. Preferred/Bonus Experience: Deployment of AI solutions on cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools (MLflow, Airflow, DVC, SageMaker, Vertex AI). Experience with Docker, Kubernetes, and container orchestration. Understanding of prompt engineering, tokenization, LangChain, or multi-agent orchestration frameworks. Exposure to enterprise-grade AI applications in BFSI, healthcare, or regulated industries is a plus. What We Offer: Opportunity to work on a cutting-edge AI stack integrating both classical ML and advanced GenAI. High autonomy and influence in architecting real-world AI solutions. A dynamic and collaborative environment focused on continuous learning and innovation.

Job Type: Part-Time (Hourly Basis) Job Summary: We are seeking a highly skilled and motivated AI Trainer with expertise in Artificial Intelligence, Natural Language Processing (NLP) , Generative AI, and AWS AI Services . The trainer will be responsible for delivering structured training sessions to students, helping them gain conceptual and practical knowledge of modern AI concepts and tools. Key Responsibilities: 1. Training Delivery  Design and deliver comprehensive training modules on: o Introduction to AI (history, key concepts, applications, ethics). o AWS AI Services (e.g., Amazon SageMaker, Comprehend, Recognition, Lex, Polly). o Natural Language Processing (NLP) using AWS and open-source libraries. o AI Search Techniques and Rule-Based Systems. o Introduction to Generative AI (foundation models, prompt engineering, LLMs on AWS).  Conduct interactive lectures, hands-on labs, and assessments.  Adapt training delivery to suit learners of varying technical backgrounds. 2. Hands-on Projects and Labs  Guide learners through real-world projects using: o AWS AI/ML tools (e.g., SageMaker, Bedrock, Amazon Kendra). o NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers). o Search and rule-based AI techniques.  Support practical implementation and debugging of projects . Required Qualifications: Bachelor's or master’s degree in computer science, Data Science, or related field. Experience: Proven experience (2–5 years) in teaching or working with: o AI and ML frameworks o AWS cloud services o NLP and Generative AI tools  Certification in AWS (e.g., AWS Certified Machine Learning – Specialty) is a big plus. Technical Skills:  Proficient in Python and related libraries (NumPy, Pandas, scikit-learn, etc.)  Strong understanding of NLP (tokenization, entity recognition, sentiment analysis)  Familiarity with rule-based systems and AI search algorithms (DFS, BFS, A* etc.)  Experience with LLMs, prompt engineering, and tools like Amazon Bedrock  Cloud experience on AWS AI/ML stack including: o Amazon SageMaker o AWS Comprehend o Amazon Lex and Polly o AWS Bedrock (for generative AI) Desirable:  Prior experience in educational institutions or corporate training  Contribution to open-source or AI research  Knowledge of ethical AI, fairness, and bias mitigation techniques

Job Role: Senior Mainframe Developer with Cards and Payment Domain Job Type: C2H (Contract to Hire) Job Location: Chennai (Work from Office) Experience: 10+ years Notice Period: Immediate to 30 Days Email: recruiter@ignisov.com Job Summary: · Familiarity with EMV technologies and standards, and PCI DSS and PA DSS standards. · Familiarity with Contact and Contactless technologies, Familiarity with 3DS and Tokenization standards. · Experience with an EFT transaction switching or on-line banking environment. · Experience on Google Pay/Samsung Pay/Apple Pay Wallets and QR Code and Emerging payments will be an added Advantage. · Strong design and programming knowledge on CICS, COBOL, JCL, VSAM, MVS · 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. · The role will be responsible for handling the Project Delivery for the Cards and Payment domain. · Knowledge on card issuing and transaction acquiring processing and standards. · Knowledge on ISO8583 messaging standard protocols. · Will be responsible for developing solutions, stake holder management, vendor and financial management, developing project costs, and delivering the developed solutions. · Knowledge on card issuing and transaction acquiring processing and standards. · Knowledge on ISO8583 messaging standard protocols. · Hand on experience with VISA, MasterCard Card, UPI and other national card schemes Issuing & Acquiring, Scheme compliance requirement. · Desirable to have knowledge on national schemes and processor integrations. · Knowledge about API’s (SOAP, JSON, REST. etc.,) and Web Service Integration. · Knowledge about Back Office integration. Skills And Experience · Knowledge of Credit Card Issuance/Management, Digital Channels interface, Encryption, HSM and ISO8583 messaging standards · Familiarity with EMV Contact/Contactless, VISA and MasterCard Card Issuing & Acquiring, Scheme compliance requirements · Experience with an EFT transaction switching and processing. · Familiarity on PCI DSS and PA DSS compliance requirements · Experience on Switch integration with VISA/Mastercard is mandatory. Others such as UPI, JCB and National switches. · Experience in Web Service integration and API’s If you are interested in the above position, do share your resume with recruiter@ignisov.com Also, share this post with your friends if you know someone who might be interested in this position.

ABOUT ELEVANCE HEALTH Elevance Health is a leading health company in America dedicated to improving lives and communities and making healthcare simpler. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 45 million lives across 14 states. A regular in Fortune 500 list, Elevance Health ranked 20 in 2022. Gail Boudreaux, President and CEO of Elevance Health has been a consistent name in the Fortune list of most powerful women and currently holds 4th rank on this list. ABOUT CARELON Carelon Global Solutions (CGS) is a healthcare solutions company that is simplifying complex operational processes to improve the health of the healthcare system. Previously known as Legato Health Technologies, Carelon Global Solutions (hereinafter, CGS) underwent a name change and joined the Carelon family of brands in January 2023, as a fully owned subsidiary of Elevance Health (Previously Anthem Inc.). CGS brings together a global team of like-minded innovators who manage and optimize operational processes for health plans as well as providers. Our brightest minds housed across our global headquarters in Indianapolis as well as Bengaluru, Hyderabad and Gurugram in India, Manila in the Philippines, Limerick in Ireland and San Juan in Puerto Rico bring with them innovative capabilities and an unmatched depth of experience. This global team uniquely positions CGS to enable scalable, next-generation platforms and specialized digital tools that make healthcare operations more practical, effective and efficient. OUR MISSION & VALUES Our Mission: Improving Lives and Communities. Simplifying Healthcare. Expecting More. Our Values: Leadership | Community | Integrity | Agility | Diversity JOB POSITION Carelon Global Solutions India is seeking Protegrity specialist within our InfoSec team to help support our strategic security and compliance objectives. As a Protegrity specialist, you will be monitoring the Protegrity infrastructure and troubleshooting/resolving any problems. You will be working with application teams to implement tokenization on applications JOB RESPONSIBILITY Analyst IT Security - will be responsible for the following: Primary duties include, but are not limited to: Reviewing approval request for Protegrity access and assigning an approval or rejection Provisioning Protegrity Access requests and granting access to Protegrity Joining meetings with third-party vendors detailing Anthems Bring Your Own Key requirements for vendors storing Anthem data in their cloud environment. Creating and rotating cloud encryption keys for the following clouds: AWS, Azure, IBM, Oracle, Google, and Salesforce Monitoring the Protegrity infrastructure and assisting with problem resolution Coordinating patching schedules and assisting with patching implementations Building and maintaining encryption infrastructure Documentation creation, revision, updating Working with application teams to implement tokenization on applications moving to the cloud including Explaining the process Building JSON files Granting application access Troubleshooting issues On-call support for encryption solutions QUALIFICATION Bachelor’s degree or equivalent years (3-5) as an Application Security Analyst Knowledge and understanding of industry-accepted data processing controls and concepts as applied to hardware, software, data, network communications, and people. Cloud encryption key management experience Experience with tokenization, data protection/security and field level protection Experience with scripting and automation Data-At-Rest/Data-In-Motion Encryption Experience EXPERIENCE Bachelor’s degree or equivalent years (3-5) as an Application Security Analyst/ SKILLS AND COMPETENCIES Reviewing approval request for Protegrity access and assigning an approval or rejection Provisioning Protegrity Access requests and granting access to Protegrity Joining meetings with third-party vendors detailing Anthem’s Bring Your Own Key requirements for vendors storing Anthem data in their cloud environment. Creating and rotating cloud encryption keys for the following clouds: AWS, Azure, IBM, Oracle, Google, and Salesforce Monitoring the Protegrity infrastructure and assisting with problem resolution Coordinating patching schedules and assisting with patching implementations Experience with tokenization, data protection/security and field level protection In addition to Protegrity - we can look at alternatives as well like - Skyflow, Capital One Tokenization Services, OpenText Data Privacy & Protection Foundation (Voltage), Fortanix, Privitar, Secupi, CipherTrust Vaultless Tokenization, Baffle, Cossack Labs Acra etc. Building and maintaining encryption infrastructure Documentation creation, revision, updating Working with application teams to implement tokenization on applications moving to the cloud including Explaining the process Building JSON files Granting application access Troubleshooting issues On-call support for encryption solutions Demonstrate experience in delivering technical projects with an ability to manage multiple priorities Excellent problem-solving and analytical skills Effective communication and interpersonal skills Ability to work independently and in a team environment. Nice to Have: Software development experience Scrum/Agile experience THE CARELON PROMISE Aligning with our brand belief of ‘limitless minds are our biggest asset’, we offer a world of limitless opportunities to our associates. It is our strong belief that one is committed to a role when it is not just what the role entails, but also what lies in its periphery that completes the value circle for an associate. This world of limitless opportunities thrives in an environment that fosters growth and well-being, and gives you purpose and the feeling of belonging. LIFE @ CARELON Extensive focus on learning and development An inspiring culture built on innovation, creativity, and freedom Holistic well-being Comprehensive range of rewards and recognitions Competitive health and medical insurance coverage Best-in-class amenities and workspaces Policies designed with associates at the center - EQUAL OPPORTUNITY EMPLOYER Carelon is committed to a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Reasonable Accommodation Our inclusive culture empowers Carelon to deliver the best results for our customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work. If you have a disability and need accommodation such as an interpreter or a different interview format, please ask for the Reasonable Accommodation Request Form.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Risk Analyst, Regulatory Relations and Market Compliance Overview The Technology Regulatory Relations and Market Compliance (RRMC) organization is a business enabler and industry leader of technology and security risk management practices, supported by a multi-disciplinary team of top security, technology, and risk professionals. Our mission is to exceed stakeholder expectations by providing enhanced visibility and proactive management of technology risks and ensuring strong security and sound operational environment. The team is responsible for working with, and demonstrating to, our stakeholders (e.g., regulators, customers, Mastercard businesses) how Mastercard complies with our security and technology promises, commitments, and obligations. As the Asia Pacific region is gaining much scrutiny across the regulators, a strong risk management program is required to meet new and existing obligations, including audits of security processes and controls, tokenization practices and data localization compliance. Risk Management Framework/Governance Assist in preparation and maintenance of a consolidated control framework Support preparation of a centralized inventory of security and technology risk management requirements and assurance expectations Risk Management Guidance/Direction Support business owners in analysis of business and functional requirements resulting from regulation and customer contracts; and help identify technology and security risk controls Help assess impact of business, market and regulatory landscape changes on controls and practices Customer Assurance and Audit Support Support customer and regulatory examinations; provide accurate information, related documentation and evidence for the purpose of the audit request to demonstrate how Mastercard satisfies obligations and commitments Assist in completing customer and regulatory inquiries and requests for information Prepare periodic customer and regulator meetings and reporting Perform compliance monitoring and pre audit readiness reviews Collection, sorting and maintaining audit evidence repository and tracking open items to closure Assist with certification efforts (e.g., SOC, ISO, PCI) Assist in reviewing reports of related parties and review System Audit Reports (SARs) and System Audit Questionnaires (SAQs) to track ecosystem compliance Experience Have knowledge of relevant regulations (e.g., payment and settlement systems, tokenization, Data localization) Have a strong understanding of technology and cybersecurity risk management practices. Experience in handling regulatory and customer audits, conducting assessments and good understanding of governance, risk and compliance practices Be seen as a trusted advisor who understands business processes and can provide security consultation and advisory Possess excellent communication and people management skills and stakeholder management experience Ability to navigate around ambiguities and be culturally aware, sensitive and able to collaborate with cross-regional teams Be a team player with strong business and operations focus Knowledge of Risk and Control Framework standards such as NIST, ISO, PCI-DDS, SOC Knowledge of laws, regulations, policies, and ethics as they relate to cybersecurity and IT management (e.g., GDPR, FBA, CBA, PFMI, etc.) Knowledge of Mastercard products and technology, security and other risk management programs and practices desired, a plus but not required Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-248726

Company: Hiteshi InfoTech Pvt. Ltd. Job Profile : Senior Technical Lead Experience : 12+ years Location: Indore Job Type: Full-Time, On-site Notice: Immediate Joiner Role Overview As Senior Technical Lead, your mission will be to drive the technical vision and execution of our Web3 platforms with a strong emphasis on integrating existing solutions (e.g., FireBlocks, Bridge, Chainlink, Nium, etc.) rather than developing everything in-house. You will coordinate developers, evaluate vendors, and ensure technical alignment across all projects. Key Responsibilities Define and lead the technical strategy and system architecture for multiple platforms Evaluate and integrate third-party services, APIs, and blockchain tools Oversee day-to-day technical operations and development milestones Coordinate and communicate with external developers and technical partners Participate in product planning, strategy meetings, and investor presentations Ensure systems are scalable, secure, and regulatory-compliant Supervise technical due diligence on selected Web3 and fintech service providers What We’re Looking For Solid experience in technical leadership (Tech Lead, Solutions Architect, etc.) Deep understanding of Web3 protocols, blockchain tools, and integration best practices Proven success managing third-party integrations and outsourced development Strong communication skills; fluent in English (spoken and written) Comfortable operating in a fast-paced startup environment with shifting priorities Experience working with tools like Fireblocks, Bridge, Plaid, Chainlink, Circle, Nium, or equivalent platforms is a plus Preferred Technical Familiarity - Smart contracts, wallets, custody APIs, DeFi protocols - Integration platforms (RESTful APIs, Webhooks, OAuth) - PHP (Laravel), MySQL — for backend maintenance and integration - AWS, GCP, or similar cloud services - Frontend/backend coordination for Web3 apps (React, Node.js, etc.) - Security and compliance standards in tokenization and digital finance Job Type: Full-time Pay: From ₹120,000.00 per month Schedule: Day shift Application Question(s): Experience working with tools like Fireblocks, Bridge, Plaid, Chainlink, Circle, Nium, or equivalent Education: Bachelor's (Required) Experience: technical lead : 10 years (Required) Work Location: In person

Role Overview: As Senior Technical Lead, your mission will be to drive the technical vision and execution of our Web3 platforms with a strong emphasis on integrating existing solutions (e.g., FireBlocks, Bridge, Chainlink, Nium, etc.) rather than developing everything in-house. You will coordinate developers, evaluate vendors, and ensure technical alignment across all projects. Key Responsibilities: Define and lead the technical strategy and system architecture for multiple platforms Evaluate and integrate third-party services, APIs, and blockchain tools Oversee day-to-day technical operations and development milestones Coordinate and communicate with external developers and technical partners Participate in product planning, strategy meetings, and investor presentations Ensure systems are scalable, secure, and regulatory-compliant Supervise technical due diligence on selected Web3 and fintech service providers What We’re Looking For: Solid experience in technical leadership (Tech Lead, Solutions Architect, etc.) Deep understanding of Web3 protocols, blockchain tools, and integration best practices Proven success managing third-party integrations and outsourced development Strong communication skills; fluent in English (spoken and written) Comfortable operating in a fast-paced startup environment with shifting priorities Experience working with tools like Fireblocks, Bridge, Plaid, Chainlink, Circle, Nium, or equivalent platforms is a plus Preferred Technical Familiarity: - Smart contracts, wallets, custody APIs, DeFi protocols - Integration platforms (RESTful APIs, Webhooks, OAuth) - PHP (Laravel), MySQL — for backend maintenance and integration - AWS, GCP, or similar cloud services - Frontend/backend coordination for Web3 apps (React, Node.js, etc.) - Security and compliance standards in tokenization and digital finance Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Work Location: In person