49875 Governance Jobs - Page 14

About Shalina Healthcare: We are one of the largest, privately owned pharmaceutical businesses across Africa (Global Head Quarters Dubai, UAE) with recent forays across multiple, new lines of businesses, viz., Digital Healthcare, Diagnostics, Consumer Healthcare, etc. Over the last 40 years, operating across multiple geographies, we have made it our mission to provide quality medicines to those who need it the most. We manufacture and distribute branded prescription and over-the-counter pharmaceutical and consumer products, across a broad range of therapeutic groups, including anti-malarial, anti-biotics, anti-inflammatory, respiratory, gastrointestinal, nutrition, oral care, dermatology, sexual well-being, and antiseptic liquids & soaps. Leading brands, great teams and a focus on influencing the well-being of people have made Shalina a household name in Africa. We have a track record few can match, and our brands are among the most trusted in Africa. We are proud of our history and have big ambitions for the future. Our vision for 2030 is to be the health champion of Sub-Saharan Africa. To achieve this, we are looking for the right people to join us and create a lasting impact not just within our company but on the communities that we serve; people who identify with our Core Values and are as passionate about our Mission as we are. Role: Global Head – Procurement & Strategic Sourcing Base location: Navi Mumbai, India What you become a part of: Incumbent in this role will lead the Procurement & Strategic Sourcing Function for the Firm, formulating & driving strategies that align with the company’s business goals. The incumbent will ensure the optimization of sourcing, supplier management, and procurement processes to enhance operational efficiency, manage the bottom-line impact, and mitigate risks in the supply chain. SHL is expanding its global manufacturing footprint; the incumbent thus, would be responsible for setting up local sourcing expertise at multiple locations in the African Continent. What to expect: Lead the global team for procurement/sourcing of APIs, RM, PM & Capital Goods. Lead the team for all Contract manufacturing for Third Party procurement Finished Goods, across India, China & countries across the African Continent. Continuously seek opportunities to localise & transition supply sources, with a view to optimising the value chain for greater efficiency, resilience & cost-effectiveness. Anchor the Alternate Vendor Development efforts. Develop, negotiate, and manage global contracts with suppliers with sound contracting structures and terms. Evaluate demand patterns and develop a procurement roadmap that speaks to the short-term requirements as well as long-term Strategies. Develop, negotiate, and manage global contracts with suppliers with sound contracting structures and terms. Contribute to preparation of long-term plans, annual operating plans, providing inputs from a sourcing/ procurement perspective. Role description Quantify and report savings/ value of category contracts and spend and related supplier relationships; understand and measure compliance with, and utilization of, global agreements and relationships. Lead development and implementation of the functional processes, policies and tools that contribute to achievement of business objectives. Develop and implement relevant global, regional, and local category strategies where appropriate, leveraging affiliate volumes and synergies at the highest possible level. Implement supplier relationship management and governance programs to ensure/ increase value and supplier performance and drive innovation within the spend categories. Define and implement guided buying concepts and procurement channels for realization of sourcing strategies and overall business value. Ensure sourcing practices are in accordance with corporate ethics, financial policy, and internal control requirements. Optimize and drive adoption of technologies and systems. Utilize technology as a thought leader and innovator to drive processes and communications throughout the organization for increased efficiency and engagement. Mentor and develop capabilities of the commercial teams by managing all aspects such as career development, coaching, objective-setting and performance management. Essential qualifications, experience and skills: Bachelor's degree in Engineering, Business, Life Sciences or relevant disciplines in Humanities; MBA desirable. Experience in the African Markets is an added advantage. 15+ years strategic procurement experience with extensive knowledge of category management and advanced sourcing, vendor management and complex contract negotiations expertise. Experience leading multiple categories and sourcing teams within the pharmaceutical (formulations) industry. Excellent consulting skills with the ability to influence senior stakeholders. Strong personal credibility and interpersonal skills with the ability to build trusted relationships with senior business leaders and teams alike. Experience working cross-culturally with diverse colleagues. Strong analytical skill set required to drive problem-solving and innovative solutions. Ability to travel domestically/ internationally up to 25% of the time.

Exp: 6-10 years Work mode: Hybrid Location: Gurgaon and Hyderabad Key Responsibilities Design, develop, and maintain data models to support business processes within the SAP HANA environment. Build reports and dashboards in Power BI , leveraging underlying data models and CDS views. Collaborate with functional and technical teams to translate business requirements into scalable data solutions. Optimize data structures and ensure data consistency, integrity, and availability. Support integration of data across multiple systems and platforms. Participate in performance tuning, troubleshooting, and resolving issues related to data models. Ensure compliance with data governance, quality, and security standards. Key Skills & Requirements 6+ years of experience in data modeling with strong expertise in SAP HANA Hands-on experience with Power BI for reporting, visualization, and building interactive dashboards. Strong knowledge of data architecture, schema design, entity relationship modeling, and performance optimization Proficiency with SAP data structures, CDS views, and Fiori analytical apps Experience with ETL processes, SQL, and system integrations Strong problem-solving, analytical, and communication skills.

About NomiSo India: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers through simple solutions for their complex business problems. At NomiSo, we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble, and thrive when challenged. We offer a positive, stimulating, and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations! What You Can Expect from Us: We work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do at all levels of the company. Let’s make your career great! Position Overview: The purpose of this role is to increase revenue, maximize process efficiency & cost-effectiveness, and ensure excellent customer experience, through effective supervision of daily operations and personnel, contract compliance, resource optimization and capability development within an account. Key Responsibilities Maximize process efficiency and cost effectiveness through strategic planning, contract compliance and governance mechanisms Strategy Planning with Senior Stakeholders Collaborate with leaders to provide strategic and operational plans associated with the account Plan the strategy for the coming months and quarters based on the forecast pipeline Ensure a deep enough understanding of clients’ individual experiences to head off potential issues before they become problems Contract compliance & adherence Ensure all SLA parameters are met in the account and identify areas for improvement Monitor and review the account on various delivery parameters to ensure quality delivery as per budget and timelines and their impact to revenue realization and cost Delivery governance in the account Monitor and review dashboards/ MIS across accounts to track progress and identify potential red flags Participate and share account performance across operational, quality and fulfillment parameters with internal and external stakeholders Lead and manage project escalations, potential risks or early warning signs on project delivery to eliminate any revenue leakage Monitor Leakage across the lifecycle and implement improvements to reduce leakages. Invoicing Ensure accurate, timely submission of invoices and compliance in line with client agreements and internal policies. Provide information required and resolve any invoicing issues raised by the client Monitor and track collections Budgeting, Expense Tracking and Process Optimization Assume responsibility of budgeting and tracking expenses Review and refine operational workflows to reduce inefficiencies and enhance productivity. Reporting Conduct variance analysis to explain deviations between forecasted and actual revenue. Collect and analyze statistics (costs, customer service metrics etc.) Develop dashboards, reports, and KPIs to measure revenue performance and trends. Ensure outstanding performance against key metrics mentioned in the agreement Regular cadence around contract compliance Evaluate performance with key metrics (accuracy, customer service metrics etc.) Set direction for the team, track progress against targets through regular cadence calls and course correct as require Drive the focus of the team on quality and adherence to contract compliance processes Drive and implement structured cadence around quality, both process and transactional Cadence with delivery lead to ensure margins are met and the account numbers are at par to what is committed Weekly calls with WFM to ensure resource optimization, compliance to the manpower numbers agreed in the contract, future planning in case of ramp ups etc. ͏ Resource Allocation & Retention Conduct effective resource planning to maximize the productivity of resources (people, technology etc.) Review and monitor resource planning and fulfillment in line with account requirements and costs of delivery Optimize manpower and minimize leakages by working closely with delivery head Ensure retention by offering relevant trainings and certifications of all allocated resources Lead one-on-one floor connect and other engagement activities to improve stickiness of the delivery team Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects. Must Have skills: Experience: 6–10 years in Revenue Operations, Sales Operations, or Financial Operations, preferably in the IT/Technology sector. Strong in Excel or equivalent skills Technical Skills: Proficiency in any CRM and analytics tools (Excel Sheet, etc.) including designing reports Strong knowledge of revenue / cost recognition policies and compliance requirements. Exceptional analytical and problem-solving skills, with attention to detail. Proven ability to communicate effectively with cross-functional teams and senior leadership. Qualification: Education: Bachelor’s degree in Finance, Accounting, Business Administration, or a related field (MBA preferred).

Techolution is looking for a driven AI MERN Stack Developer to join our team and make an impact! If you’re ready to build scalable, high-performance web applications using React, Node.js, and MongoDB while seamlessly integrating Generative AI capabilities, this is your opportunity to work on groundbreaking projects that harness the power of AI to deliver real-world innovation. You’ll thrive in a fast-paced, collaborative environment where your skills will not just grow — they’ll help redefine what’s possible with GenAI-powered applications . Title : Associate MERN Stack Developer Location: Remote (India) Employment Type: Full Time Work Timings: 2-11PM Experience: 2+ Years of experience Key Responsibilities: Build scalable full-stack applications using HTML, CSS, JavaScript, React.js, Node.js, and MongoDB Develop robust RESTful APIs and back-end services with Node.js and Express Implement state management solutions and React Router for seamless user experiences Create dynamic, responsive UIs in React.js and optimize performance for large-scale applications Design and maintain microservices and microfrontend architectures for modular, high-performing systems Work with Next.js for modern, SEO-friendly web applications Integrate GenAI capabilities into applications, especially agentic code generation tools Build and extend developer productivity tools, such as VS Code extensions or similar platforms Collaborate with cross-functional teams to deliver features from concept to production Take full ownership of your work — from architecture and development to deployment and maintenance Troubleshoot and debug issues to maintain high product quality and availability Top Non-Negotiable Skills HTML, CSS, and JavaScript : Proven expertise in core front-end technologies, with the ability to create responsive, visually appealing, and accessible web interfaces. React.js : Deep understanding of React, including state management, hooks, and component lifecycle for building dynamic, interactive UIs State Management & React Router : Hands-on experience in managing complex state and implementing seamless navigation in single-page applications Node.js : Proficient in building scalable and efficient back-end services using server-side JavaScript MongoDB : Strong knowledge of NoSQL database design, query optimization, and schema modeling for high-performance applications Problem-Solving & Troubleshooting : Exceptional analytical skills with the ability to debug complex issues and implement effective solutions Communication & Collaboration : Ability to work closely with cross-functional teams, translating business needs into technical solutions Product Ownership : Demonstrated ability to take full responsibility for features and deliver end-to-end solutions in production environments Scalable Application Experience : Experience building applications that handle real-world scale and high user traffic . Negotiable Skill Express.js : Strong experience in building REST APIs and middleware for efficient request handling Next.js : Proven ability to develop fast, SEO-friendly, and server-side rendered web applications Microservices Architecture : Skilled in designing and implementing modular, service-based systems for better scalability and maintainability. Generative AI Applications : Experience integrating AI-driven functionalities, preferably agentic code generation tools, into applications VS Code Extension Development : Experience creating custom extensions or similar developer productivity tools to enhance workflows About Techolution Techolution is a Product Development firm on track to become one of the most admired brands in the world for innovation done righ t. Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI .We are honored to have recently received the prestigious Inc 500 Best In Business Awar d, a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Let's explore further! Uncover our unique AI accelerators with us 1. Enterprise LLM Studi o: Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes 2. AppMod. A I: Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands 3. ComputerVision. A I: Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration 4. Robotics and Edge Device Fabricatio n: Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services 5. RLEF AI Platfor m: Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI 6. AI Center of Excellenc e: Establishes an AI Center of Excellence to maximize AI potential and ROI 7. FaceOpe n: AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! Our Unique Value Propositio White Glove Service : From Ideation → Innovation → Integration, we lead the way to deliver meaningful outcomes, enabling your team to operate AI solutions independently Human-AI Partnership : Our Govern Guide Control (GGC) framework ensures responsible AI governance, aligning solutions with your organizational requirements and brand identity Customized AI Solutions : We tailor AI to your enterprise needs, delivering from concept to implementation with our turnkey approach at a guaranteed price . Our Impact Techolution has partnered with 300+ clients worldwide, including 50+ Fortune 500 companies. Our growing team works across diverse sectors such as healthcare, education, retail, media, tech, banking, fintech, government, telecom, and manufacturing. Celebrating 9+ years in busines s, we are committed to AI Done Righ t . Awards & Recognitio 2024 : Forbes publishes the best-selling book by our CEO, Failing Fast?: The 10 Secrets to Succeed Faste r 2023 : AI Solutions Provider of the Year – AI Summit 2022 : Best in Business Award – Inc. Magazine 2021 : Best Cloud Transformation Consulting – CIO Review 2019 : Inc. 500 Fastest Growing Company Award . Some videos you wanna watch Computer Vision demo at The AI Summit New York 2022 Life at Techolution GoogleNext 2025 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @www.techolution.co m : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology. .

Job Title: Oracle Data Integrator Developer Location: Remote Experience: 8-10 years Mode: 3 month + ext. Requirements : 7 + years’ experience in building function & store procedure using ODI tool. •Design Data warehouse table and applicable documentation. •Develop table creation scripts and execute the scripts for the Database Administrator (DBA). •Analyze data sources and determine data relationships to pair with the business requirements documentation (BRD). •Familiarity with data quality issues and Exact, Transform, Load (ETL) processes •Design and develop Extract Load Transform (ELT) process and load data from source tables into staging tables and then into target fact and dimension tables utilizing Oracle Data Integrator (ODI). •Validate data loaded into various tables utilizing Structured Query Language (SQL) and other analysis. •Knowledge and understanding of the applicable tools and practices used in data governance including query and data profiling techniques •Proven skills in data analysis – including queries to calculate data quality. •Solid written, verbal, and analytical skills •Strong research and problem determination and solution skills •Flexible to work in Shifts (Rotational)

Role: Lead Engineer - Databases Type: Individual Contributor Work Type: Remote Should have experience in 2 Databases: a)Elastic Search + Clickhouse (OR) b)Elastic Search + Mongo DB Reporting to: Sr EM (Data & Platform team) About the Role: We are seeking an experienced Lead Engineer – Databases with deep expertise in Elasticsearch, Click house, and other modern data systems. You will lead the design, development, and optimization of scalable, high-throughput database solutions that power key products and internal systems. This role emphasizes performance tuning, efficient data modeling, and the deployment of cloud-native database architectures that can handle both real-time and batch processing at scale. Responsibilities: Design and optimize usage of Elasticsearch (e.g., Amazon OpenSearch) and Clickhouse for operational and analytical workloads Develop efficient, scalable data models for document, search, and columnar storage patterns Continuously monitor and improve query performance, indexing strategies, and cost-effectiveness of managed services Collaborate closely with engineering, data, and DevOps teams to integrate database best practices into applications and pipelines Ensure high availability and performance of structured, semi-structured, and unstructured data workloads Define and enforce best practices for schema governance, access control, and data lifecycle management Evaluate and benchmark new managed database services to support evolving product needs Automate performance monitoring and alerting using tools such as Datadog, CloudWatch, or equivalents Requirements: 5+ years of experience working with cloud-managed database platforms Deep expertise in Elasticsearch/OpenSearch (indexing, search relevance, aggregation) and Clickhouse (columnar storage, high-throughput queries) Strong experience with SQL and NoSQL systems in production environments at scale Proven ability to optimize query performance and storage in high-scale environments Experience integrating databases with application stacks and streaming pipelines (e.g., Kafka) Proficiency in at least two programming languages (e.g., NodeJS, Go, Rust) for automation and tooling Understanding of cloud-native security, RBAC, and compliance requirements Experience with database observability, monitoring, and alerting systems Preferred Skills: Experience with managed databases such as Firestore, MongoDB, or Redis Exposure to other managed data platforms like BigQuery, DynamoDB, Snowflake, etc. Familiarity with distributed systems, multi-region data patterns, and high-availability strategies Background in building or supporting analytics, observability, or search platforms.

Role: Data Obfuscation Contract duration:12+months, likely long-term Location: Remote Responsibilities: Design and implement data obfuscation strategies using Thales CipherTrust Tokenization, FPE, and Data Masking modules. Define and build reusable obfuscation templates and policies based on data classification, sensitivity, and business use cases. Apply obfuscation to PII, PCI, and other regulated data across databases, applications, files, APIs, and cloud services. Install, configure, and administer CipherTrust Manager, DSM, and related connectors. Develop and deploy integration patterns with enterprise systems (e.g., Oracle, SQL Server, Kafka, Snowflake, Salesforce, AWS, Azure). Automate policy deployment and secret rotation using APIs, CLI, or scripting tools (e.g., Ansible, Terraform, Python, Shell). Work with or integrate secondary data protection tools (e.g. DLP, IRM, MIP etc.) Enable cross-platform key management and policy consistency for hybrid and multi-cloud environments. Align obfuscation patterns with internal data protection standards, classification schemes, and regulatory frameworks (GDPR, CCPA, DORA, SEBI, etc.). Provide obfuscation logs and audit evidence to support security assessments, audits, and compliance reviews. Implement monitoring and alerting for obfuscation control failures, anomalies, or unauthorized access attempts. Create detailed technical documentation, SOPs, and configuration guides. Train internal engineering teams and application owners on how to securely integrate with obfuscation services. Collaborate with data governance, security architecture, and DevSecOps teams to drive secure-by-design initiatives. Knowledge, Skill, Experience Required: Required: 3–6 years of hands-on experience with Thales CipherTrust Data Security Platform (Tokenization, DSM, FPE, Masking). Strong knowledge of data protection concepts: tokenization (deterministic and random), pseudonymization, static/dynamic masking, and encryption. Experience integrating obfuscation solutions with databases (Oracle, SQL, PostgreSQL, etc.), enterprise apps, and data pipelines. Proficiency in scripting and automation tools: Python, Shell, REST APIs, Ansible, CI/CD pipelines. Familiarity with key management, HSM integration, and data access policies. Beneficial: Thales Certified Engineer / Architect – CipherTrust CISSP, CISA, CDPSE, or CIPT will be a binus Cloud Security Certification (e.g., AWS Security Specialty, Azure SC-300) Personal Characteristics: Strong analytical and problem-solving mindset Ability to work independently in a fast-paced, global enterprise environment Excellent documentation and communication skills Comfortable collaborating with cross-functional teams (App Dev, Security, Compliance, Data Governance) Experience supporting enterprise data security transformations and data-centric protection strategies

About the Role We are seeking a highly skilled Data Engineer with strong Snowflake experience to join our team. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and solutions on the Snowflake Data Cloud platform. You will collaborate with cross-functional teams to ensure high data quality, availability, and performance for analytics and business insights. Key Responsibilities Design, develop, and maintain data pipelines and ETL/ELT workflows using Snowflake. Optimize Snowflake databases, schemas, and queries for performance and cost efficiency . Integrate data from multiple sources (structured, semi-structured, unstructured) into Snowflake. Implement best practices for data modeling, security, governance, and monitoring . Required Skills & Experience 6-10 years of experience as a Data Engineer (or similar role). Strong hands-on experience with Snowflake (data modeling, query tuning, warehouse optimization). Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Data Lake, etc. Strong problem-solving and analytical skills with attention to detail.

Role: Application Admin Lead Location: India (Remote) We are looking for an experienced Application Admin Lead to oversee administration, adoption, and support across collaboration tools such as Slack, Zoom, Google Workspace, and visual platforms like LucidChart and Vizzlo. This role will be responsible for managing escalations, ensuring optimal configuration, supporting transitions, and promoting enterprise-wide adoption of digital workplace solutions. Tools & Platforms: Slack, Zoom, Google Workspace, LucidChart, LucidSpark, Vizzlo Key Responsibilities: - Lead platform transitions, including knowledge transfer (KT) and planning. - Administer user provisioning, workspace configurations, policies, and integrations. - Troubleshoot technical issues; manage escalations with vendors. - Maintain admin documentation, runbooks, and internal knowledge base. - Monitor platform usage and drive optimization and best practices. - Conduct end-user training and support adoption across teams. - Ensure SLA compliance and act as an escalation point for service issues. - Collaborate with vendors for platform updates, guidance, and issue resolution. Qualifications: - 5+ years of experience managing Slack, Zoom, Google Workspace, and related tools. - Deep understanding of Slack Enterprise Grid, custom workflows, integrations, and security configs. - Strong experience with Zoom account structures, Zoom Rooms, Webinars, and admin controls. - Hands-on expertise in managing Google Workspace (Gmail, Drive, Admin Console, Groups, SSO, etc.). - Familiarity with LucidChart/LucidSpark licensing, workspace setup, and template management. - Proven ability to drive tool adoption and deliver training content across large teams. - Skilled in IT coordination, incident resolution, governance, and policy enforcement. - Strong documentation skills: SOPs, onboarding guides, KB articles, and policies.

Enterprise Architect Job Summary An Enterprise Architect is a senior leader responsible for the overall architecture and strategy of the platform ( Either Salesforce /Service Now / Oracle ) in an organization. This role provides a broad, strategic view of how the platform fits into the enterprise IT landscape, ensuring that platform solutions support long-term business objectives .The Enterprise Architect will lead the strategic design, development, and governance across the enterprise, aligning platform capabilities with the company’s technology roadmap and digital transformation goals. This includes defining technical direction, ensuring scalability and security, and maximizing the value of the platform in meeting cross-organizational needs. Key Responsibilities Platform Architecture & Roadmap: Define and maintain the enterprise-wide platform architecture and technical roadmap, ensuring solutions are scalable, maintainable, and aligned with business strategy. Establish architecture standards and reference architectures for using the platform across various business units. Governance & Best Practices: Develop and enforce governance frameworks, design principles, and coding standards for the platform. Oversee architecture reviews and change control processes to ensure consistency and compliance across the life cycle of the implementation. Integration & Interoperability: Lead the integration of the proposed platform with other enterprise systems (e.g. ERP, CRM, cloud services) to ensure seamless data flow and interoperability. Define integration strategies (APIs, middleware, data synchronization) and ensure ServiceNow plays well within the broader IT ecosystem. Technical Leadership: Provide deep technical leadership and mentorship to ServiceNow solution architects, developers, and admins. Guide teams in designing high-quality solutions, and offer oversight on complex configurations and custom development to ensure they meet performance and security requirements. Innovation & Continuous Improvement: Stay up-to-date with latest releases and features (including AI/ML capabilities, automation, Virtual Agent, App Engine, etc.). Evaluate new platform functionalities and third-party modules, and recommend their adoption to drive improvement and innovation on the platform. Stakeholder Collaboration: Work closely with business leaders, IT executives, and enterprise architects to translate business objectives into ServiceNow solutions. Act as a subject-matter expert and advisor, evangelizing platform capabilities and ensuring that the Digile team supports evolving business processes and digital transformation initiatives. Platform Performance: Ensure the platform’s reliability, security, and performance by implementing best practices for instance health, monitoring, and upgrade management. Required Qualifications Education: Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience). Work Experience: ~10+ years of experience in IT, including several years in an architecture leadership role. At least 5 years of hands-on experience with ServiceNow, designing and implementing enterprise-level ServiceNow solutions across multiple modules (e.g. ITSM, ITOM, HRSD, CSM). ServiceNow Expertise: Proven experience architecting ServiceNow implementations at scale – including designing platform architecture, data models, integrations, and customizations. Demonstrated success in leading large ServiceNow projects or platform initiatives from conception to delivery. ITSM/Process Knowledge: Strong understanding of IT Service Management and ITIL frameworks. Experience aligning ServiceNow processes (incident, problem, change, request, asset, etc.) with ITIL best practices and overall business workflows. Technical Skills: Broad knowledge of enterprise technology stacks and architecture principles. Familiarity with web technologies and integration methods relevant to ServiceNow (REST/SOAP web services, MID Server, SSO/SAML, etc.). Solid understanding of cloud infrastructure and hybrid environments as they relate to ServiceNow deployment. Analytical & Problem-Solving: Ability to analyze complex business requirements and translate them into an architectural blueprint for ServiceNow. Strong problem-solving skills to address platform issues, optimize performance, and design scalable solutions. Preferred Qualifications Advanced Education: Master’s degree in a relevant field or MBA is a plus, especially with a focus on Information Systems or Enterprise Architecture. Enterprise Architecture Frameworks: Familiarity with enterprise architecture methodologies (e.g. TOGAF or Zachman) and how ServiceNow aligns within those frameworks. Industry Knowledge: Experience implementing ServiceNow in multiple industries or large/global environments, demonstrating the platform’s adaptability to various use cases. Legacy Systems & Cloud: Background in integrating ServiceNow with legacy systems or modern cloud services (AWS, Azure, GCP) can be advantageous. Experience with data migration and enterprise integration platforms is a plus. Leadership Experience: Prior experience in a leadership role such as Lead Architect or Platform Owner. Demonstrated ability to mentor teams, manage architectural governance boards, and liaise with senior management on technology strategy. Desired Skills and Competencies Strategic Thinking: Ability to envision how ServiceNow can enable future-state business processes and digital transformation. Capable of developing long-term plans and translating strategy into actionable architecture. Communication & Influence: Excellent communication skills, with the ability to articulate complex technical concepts to both technical teams and non-technical stakeholders. Strong presentation and negotiation skills to drive decisions and build consensus on architectural choices. Leadership & Collaboration: Proven leadership and team-building skills. Comfortable leading cross-functional teams and coordinating between technical staff, project managers, and business stakeholders. Able to foster collaboration and drive alignment in a matrixed environment. Adaptability: Hands-on and adaptable, with a willingness to dive into details when necessary. Able to handle changing priorities and guide the organization in adopting new ServiceNow features or best practices as the platform evolves. Innovative Mindset: A continuous learner who keeps abreast of technology trends (e.g., AI-driven workflows, hyperautomation, low-code development) and identifies opportunities to leverage them via ServiceNow. Customer/Business Focus: Strong business acumen and user-centric mindset. Balances technical excellence with practical business value, ensuring that architectural decisions enhance user experience and Enterprise Architecture/Cloud: Certifications in enterprise architecture (e.g. TOGAF), cloud architecture, or related areas are a plus, reflecting a well-rounded architectural skill set. Typical Experience Range Typically 10-15+ years of overall IT experience, with a substantial portion in architecture and leadership roles. Most candidates for this role have 5+ years of dedicated ServiceNow experience in progressively senior positions (e.g. Solution Architect, Technical Lead, or Platform Architect). Experience leading multiple end-to-end ServiceNow implementations and working in large-scale, global environments is expected. This role is generally a senior-level position (often at the Principal Architect or Director level), suited for professionals who have a blend of technical depth and strategic business

Client- UK Based client Availability: 8 hours per day Shift: 2 PM to 11 PM -IST and US Over Lap exp- 8+ Skill: SkyTap on Azure or IBM Cloud exp Mode: WFH ( Freelancing) If you're interested, kindly share your CV-thara.dhanaraj@excelenciaconsulting.com/ Call7358452333 Key Responsibilities Environment Setup & Management Design, deploy, and manage SkyTap environments for IBM Power and x86 workloads. Configure networking, storage, and security policies within SkyTap. Automate provisioning of dev/test/training environments. Migration & Modernization Execute lift-and-shift migrations of AIX, IBM i, Linux, and Windows workloads to SkyTap on Azure/IBM Cloud. Integrate SkyTap environments with Azure services (AD, monitoring, security). Support application modernization initiatives (API integration, container adoption). Operations & Governance Monitor system performance, resource utilization, and cost optimization. Implement disaster recovery (DR) and backup solutions within SkyTap. Ensure compliance with organizational governance, security, and data protection standards. Collaboration & Support Work with application owners, DBAs, and network/security teams to ensure smooth migration and environment stability. Provide technical documentation, runbooks, and knowledge transfer to internal teams. Support training labs setup and delivery using SkyTap’s replication and automation features. Technical Skills Required SkyTap Expertise : Hands-on experience with SkyTap on Azure or IBM Cloud. Legacy Systems : Strong understanding of IBM Power Systems (AIX, IBM i), VMware, and x86-based workloads. Cloud Platforms : Azure/IBM Cloud (preferably Azure) – networking, storage, IAM, monitoring. Infrastructure : TCP/IP networking, VPN, firewalls, load balancing, DNS. Automation & Scripting : PowerShell, Bash, Python, or automation via SkyTap APIs. Dev/Test Environments : Knowledge of replicable environment provisioning and automation. Disaster Recovery : Backup, replication, and DR strategies in hybrid environments. Certifications (Preferred) Microsoft Certified: Azure Administrator / Azure Solutions Architect IBM Power Systems Certification

ServiceNow Solution Architect Job Summary A ServiceNow Solution Architect is responsible for designing and delivering ServiceNow solutions to address specific business challenges.The Solution Architect focuses on projects or functional areas within the broader enterprise ServiceNow framework, crafting technical solutions that meet immediate needs while fitting seamlessly into the organization’s IT ecosystem. They are responsible for the overall architecture, design, and integrity of ServiceNow applications under their purview – including enhancements to existing modules and the development of new capabilities on the platform. Working closely with stakeholders and technical teams, the Solution Architect ensures that ServiceNow solutions are delivered following best practices, are scalable and secure, and deliver value to end-users. Key Responsibilities Requirements Analysis & Solution Design: Engage with business stakeholders to gather requirements and understand objectives. Translate business needs into technical designs and architecture for ServiceNow solutions, producing design documents or blueprints that outline how the solution will be implemented on the platform. End-to-End Architecture: Own the overall ServiceNow solution architecture for assigned projects or modules. This includes designing data models, workflows, and integrations for new ServiceNow implementations or enhancements, while ensuring compatibility with existing platform configurations and enterprise architecture standards. Module Implementation: Lead the configuration and customization of ServiceNow modules (e.g. ITSM, ITOM, HRSD, CSM, etc.) to meet requirements. Oversee the development of features such as forms, workflows, business rules, client scripts, and UI pages, ensuring they are built according to best practices and are maintainable. Integration & Data Management: Design and implement integrations between ServiceNow and other systems (such as identity management, ERP, CRM, monitoring tools). Utilize integration tools and APIs (REST/SOAP, IntegrationHub, MID Server) to enable data exchange and ensure the ServiceNow solution fits into the broader IT landscape without silos. Technical Leadership in Projects: Act as the technical lead for ServiceNow implementation teams. Provide guidance to developers and administrators, resolve design questions, and make decisions on trade-offs. Ensure that the build/configuration aligns with the approved architecture and that quality standards are met through code reviews and testing oversight. Testing & Quality Assurance: Collaborate with QA teams and end-users to develop test plans for ServiceNow solutions. Participate in system testing and user acceptance testing, verifying that the solution meets functional requirements and performance expectations. Address any defects or issues in the design by adjusting configurations or recommending improvements. Deployment & Support Transition: Plan and coordinate go-live activities for new ServiceNow features or modules, ensuring minimal disruption to business operations. Create documentation (architecture docs, configuration guides, support playbooks) for the implemented solutions. Conduct knowledge transfer and training sessions for operational teams or clients to ensure they can effectively use and maintain the ServiceNow solution post-deployment. Post-Implementation Optimization: Monitor solution performance and adoption after rollout. Proactively identify opportunities for improvement – for example, streamlining workflows, enhancing user interface, or automating additional processes. Provide recommendations and implement updates or refinements to continually optimize the value delivered by the ServiceNow solution. Standards & Best Practices Compliance: Ensure that all solutions adhere to ServiceNow best practices and coding standards. This includes maintaining the integrity of the ServiceNow platform by avoiding over-customization, leveraging out-of-the-box functionality where possible, and ensuring upgrades will be smooth. The Solution Architect also contributes to developing internal best practice guides and reusable solution patterns for ServiceNow. Collaboration & Communication: Work closely with project managers, business analysts, and other IT teams throughout the project lifecycle. Communicate architecture decisions and status updates to stakeholders. Coordinate with the ServiceNow Platform Owner or Enterprise Architect to ensure solutions are aligned with the overall platform strategy and to receive guidance on governance when needed. Required Qualifications Education: Bachelor’s degree in Computer Science, Information Technology, or a related discipline (or equivalent professional experience). Work Experience: Typically 5-10 years of overall IT experience, including 3-5+ years of hands-on ServiceNow experience . Prior roles such as ServiceNow Developer, Technical Consultant, or Implementation Specialist are beneficial to provide the necessary technical depth. Proven experience delivering at least a couple of full lifecycle ServiceNow implementations (from design through deployment) is expected. ServiceNow Platform Knowledge: In-depth understanding of the ServiceNow platform, including its architecture and all major components. Proficient in configuring core modules like ITSM (Incident, Problem, Change, Service Catalog) , with experience in at least one additional product suite (ITOM, HR Service Delivery, Customer Service Management, etc.). Familiarity with the ServiceNow App Engine and custom application development on the platform. Technical Skills: Strong proficiency in ServiceNow development technologies – including client-side and server-side scripting (JavaScript/Glide API) , Flow Designer and workflow configuration, business rules, UI policies, ACLs, and REST/SOAP integration methods. Experience with web technologies (XML, JSON, HTML/CSS) and databases as they relate to ServiceNow. Process & Frameworks: Solid knowledge of ITIL processes and IT Service Management concepts. Ability to design solutions that align with ITIL best practices for service management. Experience working in Agile/Scrum project environments, using tools and methodologies for iterative development and delivery. Analytical Aptitude: Excellent problem-solving abilities with a keen attention to detail. Capable of analyzing complex requirements and constraints, and conceiving elegant solutions within the capabilities of ServiceNow. Can troubleshoot and resolve issues in a timely manner throughout the project lifecycle.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Company : FriskaAi Location : Remote (India) Job Type : Full-Time Experience Level : Mid to Senior Level About FriskaAi FriskaAi is a forward-thinking HealthTech startup on a mission to redefine personalized healthcare. Leveraging advanced AI, we deliver tailored health solutions—from nutrition and fitness to chronic disease management—directly to individuals and communities. As a fast-growing US-based company with our development heart in India, we are building the future of accessible, data-driven health empowerment. Join us to build technology that makes a real difference in people's lives. The Role We are seeking a proactive and strategic Cloud Architect to own and evolve our entire cloud infrastructure. This is a high-impact role for someone who thrives on ownership, enjoys translating business needs into technical reality, and is passionate about building scalable, cost-efficient, and secure systems in a startup environment. You will be the sole architect responsible for ensuring our cloud platform reliably supports our AI-driven health solutions, manages sensitive health data with utmost security, and scales efficiently with our growing user base. Key Responsibilities Architectural Design & Strategy: Design, implement, and manage a secure, scalable, and highly available cloud infrastructure on AWS/Azure that supports our AI and data processing workloads. Cost Optimization & Governance: Establish and lead cloud cost management practices. Implement monitoring, identify savings opportunities, and ensure we get maximum value from our cloud investments. This is a critical focus area. Security & Compliance: Architect for security and compliance from the ground up, ensuring all systems adhere to industry best practices for handling sensitive health data. DevOps & Automation: Champion Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Automate CI/CD pipelines to enable rapid and reliable deployments for the engineering team. Collaboration & Leadership: Work closely with product, engineering, and finance teams to align technology with business goals. Provide clear, non-technical explanations of architectural decisions to stakeholders. Performance & Reliability: Define and monitor key performance metrics (uptime, latency, scalability) to ensure our platform meets the high expectations of our users. What We're Looking For (Qualifications) 3+ years of hands-on experience in a cloud engineering, DevOps, or infrastructure role with at least 1-2 years of architecture-level responsibilities. Proven expertise with a major cloud provider (AWS preferred, Azure or GCP acceptable). Strong experience with Infrastructure as Code (Terraform, CloudFormation, or similar). Solid understanding of DevOps principles and tools (CI/CD pipelines, Docker, Kubernetes, Jenkins/GitLab Actions). Demonstrable experience in cloud cost management and implementing cost-saving measures. Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders. A strategic mindset—you think about the "why" behind the architecture and how it drives business value. Bonus Points (Nice-to-Have) Experience in the HealthTech industry or with HIPAA/GDPR or other data security compliance standards. Experience building data pipelines or supporting Machine Learning/AI workloads. Relevant cloud certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert). Why Join FriskaAi? High Impact & Ownership : You will be the key person shaping our cloud strategy and have a direct impact on our product and company success. Mission-Driven Work : Contribute to a product that genuinely improves people's health and well-being. Growth Environment : As a growing startup, you will have numerous opportunities to learn, wear multiple hats, and accelerate your career. Competitive Compensation : We offer a competitive salary and benefits package commensurate with experience. If you are a cloud professional ready to take on a challenging and rewarding architect role, ⏳ Apply Now! #CloudArchitect #AWS #Azure #DevOps #HealthTech #Hiring #RemoteJobs #IndiaHiring #TechJobs #Startup

About the company: Indigo Group is a Mumbai-headquartered, diversified business conglomerate with a strong presence across Technology, Infrastructure, and Food Processing sectors. Under the visionary leadership of Chairman Mr. Vinit Kumar, Indigo Group has created significant value for its partners and associates over a span of more than two and a half decades. Job Overview : We are hiring an Company Secretary to manage the legal, regulatory, and compliance functions of the company. The candidate will be responsible for corporate governance, board management, capital structuring, and compliance with SEBI, RBI, FEMA, and stock exchange regulations. Experience in handling publicly listed companies and offshore entities is highly valued. Key Responsibilities : 1. Compliance Management: Ensure full compliance with Indian laws such as the Companies Act, SEBI, RBI, FEMA, and stock exchange regulations. Oversee statutory compliance for publicly listed companies and offshore jurisdictions. Handle Serious Fraud Investigation Office (SFIO) compliance for investigations involving fraud cases. Manage accurate regulatory filings and timely submission of reports. 2. Capital Structuring & Due Diligence: Lead capital structuring for corporate fundraising, mergers, acquisitions, and share issuances. Conduct legal due diligence for corporate actions like mergers, acquisitions, and restructuring. Ensure compliance with Stock Exchange and capital market regulations. 3. Board & AGM Management: Prepare board meeting agendas, draft minutes, and follow up on board resolutions and action items. Ensure AGMs are conducted according to statutory requirements, including filing resolutions and submitting minutes. Manage communication with board members and stakeholders for AGM proceedings. 4. Corporate Governance: Provide legal advice on corporate governance, share issues, mergers, and corporate restructuring. Maintain up-to-date statutory registers, including registers of members, directors, and secretaries. Stay updated with regulatory changes and ensure compliance with SEBI, FEMA, RBI, and other bodies. 5. Documentation & Record Keeping: Ensure proper documentation and record-keeping of company statutory records and legal correspondence. Draft legal contracts, notices, and manage company filings according to Indian legal requirements. 6. Liaison with Regulatory Authorities: Liaise with SEBI, RBI, FEMA, and stock exchanges to ensure full compliance with regulations. Submit timely returns, filings, and reports to regulatory authorities. Coordinate with external auditors, consultants, and offshore jurisdiction authorities to ensure compliance. 7. Publicly Listed Companies Compliance: Oversee compliance for publicly listed companies, ensuring regulatory filings and capital market disclosures. Manage communication with stock exchanges and adhere to SEBI guidelines for listed entities. 8. Offshore Jurisdiction & SFIO Compliance: Ensure that offshore companies comply with legal requirements in their respective jurisdictions. Manage compliance and reporting for SFIO investigations if required. Qualifications & Skills: Educational Background: Qualified Company Secretary (ICSI Member). Experience: 5 to 11 years of relevant experience in managing compliance, board meetings, and statutory filings for Indian companies. Technical Skills: Familiarity with modern tools such as ChatGPT, Canva, and emerging technologies. Communication Skills: Strong communication in both English and Hindi, with the ability to manage legal matters with regulatory bodies. Compliance Knowledge: In-depth knowledge of SEBI, RBI, FEMA, and stock exchange regulations, particularly for listed entities. Good to Have: Active on social media. Knowledge of emerging technologies such as AI tools like ChatGPT and design platforms like Canva. This role offers an opportunity to contribute to the strategic growth and compliance of the company. If you meet the criteria, we encourage you to apply.

This position is under ICG TTS Operations Technology (OpsTech) Group , to help the implementation of next generation Digital Automation Platform and Imaging Workflow Technologies. The Candidate is required to possess relevant experience in managing development teams in the distributed systems Eco-System and should be a strong team player. It is expected that the candidate will have superior technical knowledge of current programming languages, technologies and other leading edge development tools.The overall objective of this role is to contribute to applications, systems analysis, and programming activities. We are looking for and experienced hands-on Xceptor/Talend developer with very good understanding of ETL technologies and working knowledge of MS SQL DB. Responsibilities: Develop and maintain applications and understanding on inter-relationships with other systems. Strong technology skills including extensive exposure to ETL tools like Xceptor or Talend with background of .NET/Java Working knowledge of RDBMS like MS SQL Server Evaluating business processes, anticipating requirements, uncovering areas for improvement Exposure to Agile Development Lifecycle, Code reviews, test case reviews and ensure code developed meets the requirements Experience in CI/CD such as Team City, SVN-GIT Scripting knowledge such as PowerShell/Linux shell scripting Conduct testing and debugging, utilize script tools, and write basic code for design specifications. Creates and produces IT architecture designs to translate user requirements into solutions. Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems. Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging. Serve as advisor or coach to new or junior analysts. Must Have Skills: Minimum 10+ years of Hands-on Technology experience Experience of working on complex multi-system, distributed, highly scalable enterprise application. Should have strong hands-on experience on one of low code technology platform like Xceptor etc. Experience using ALM and CI/CD tools like Bitbucket, TFS, Jenkins, UDeploy, BMC RLM or related tools in an agile methodology. Experience within a banking/finance environment would be preferable. Experience in Solution governance and quality assurance Experience in working in both waterfall and Agile methodologies. Qualifications: 10-15 years of relevant experience Strong verbal and written communications skills Ability to work independently given general guidance. Experience in Scrum/Agile methodologies with application development projects Demonstrated problem-solving and decision-making skills. Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements. Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

🚀 We're Hiring: SAP MDM/MDG Consultant (Remote – Offshore) 📍 Location: Remote (Offshore) 📅 Start Date: Immediate 💼 Job Type: Full-time / Contract (based on project needs) 📈 Experience: 5+ Years We’re looking for a highly skilled SAP MDM/MDG Consultant to join our team and support a pre-approved project with our direct US-based client. If you have a passion for master data, governance, and delivering impactful SAP solutions remotely, this could be a great fit. 🔧 Key Responsibilities: Implement, configure, and support SAP MDM/MDG solutions. Lead data governance efforts: data modeling, validation, workflows, and harmonization. Collaborate with onsite and offshore teams to ensure successful project delivery. Define and document master data requirements with business stakeholders. Plan and execute strategies for data migration, integration, and cleansing. Troubleshoot and resolve SAP MDM/MDG issues effectively. Ensure compliance with data quality and governance standards. ✅ Required Skills & Experience: 5+ years of hands-on SAP MDM & MDG experience. Strong in MDG configuration: data models, UI modeling, BRF+, workflows, validations. Proficiency in data quality, harmonization, and consolidation. Experience integrating with SAP and non-SAP systems. Self-starter with the ability to thrive in a remote/offshore work environment. Strong communication and stakeholder engagement skills. 🌟 Nice to Have: Experience in S/4HANA environments. Familiarity with data migration tools (SAP Data Services, SLT, LTMC). Knowledge of governance tools like SAP Information Steward .

Position: Data Engineer- Databricks Purpose of the Position: Develop, support and steer end-to-end business intelligence using Databricks. Location: Nagpur/ Pune/ Chennai/ Bangalore Key Responsibilities: Work with business analysts and data architects to translate requirements into technical implementations. Design, develop, implement, and maintain pyspark code through Databricks UI that enables data and analytics use cases for the client. Code, test, and document new or modified data systems to create robust and scalable applications for data analytics. Dive deep into performance, scalability, capacity, and reliability problems to resolve issues. Take on research projects and POC to improve data processing. Work and Technical Experience: Must-Have Skills: 3+ hands on Experience with Databricks and PySpark. Proficiency in SQL and data manipulation skills. Good understanding of data warehousing concepts and technologies. Good-to-Have Skills: Understanding of Google Pub sub/Kafka/Mongo DB. Familiarity with ETL processes and tools for data extraction, transformation, and loading. Knowledge of cloud platforms like Databricks, Snowflake, Google Cloud. Familiarity with data governance and data quality best practices. Qualifications: Bachelor's degree in computer science, engineering, or related field. Demonstrated continued learning through one or more technical certifications or related methods. 3+ years of relevant experience in Data Engineering. Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm. Able to communicate persuasively through speaking, writing, and client presentations.