Key Responsibilities: Lead and manage complex EdTech projects from initiation to delivery, ensuring alignment with business objectives and timelines. Implement and manage Agile and Scrum practices , including sprint planning, stand-ups, retrospectives, and backlog grooming. Coordinate with cross-functional teams comprising developers, designers, educators, and content specialists to drive project success. Utilize project management tools such as Jira, Asana, or Trello for effective tracking, reporting, and communication. Monitor project performance, mitigate risks, and ensure timely issue resolution. Communicate progress and key updates to internal and external stakeholders. Manage budgets, resources, and project documentation in compliance with organizational standards. Contribute to the continuous improvement of project delivery processes. Required Skills & Qualifications: Minimum 8 years of project management experience , with at least 3 years in the EdTech sector . Strong command of Agile and Scrum methodologies; Scrum Master (CSM) or PMP certification preferred. Proven ability to manage multiple concurrent projects with cross-functional teams. Sound understanding of EdTech platforms , LMS systems, authoring tools, and assessment technologies. Proficiency in project management tools ( Jira, Asana, Confluence, MS Project , etc.). Excellent communication and interpersonal skills; capable of translating technical requirements into business outcomes. Strong problem-solving, organizational, and analytical capabilities. Bachelors degree in Technology, Education, Business , or a related field. Master’s degree preferred. Desirable: Experience in curriculum development, instructional design, or the K–12/higher education ecosystem. Familiarity with emerging technologies such as AI, AR/VR, gamification , and their application in education. What We Offer: A collaborative and purpose-driven work environment Opportunities to work on transformative educational initiatives Competitive salary and performance-based incentives Professional development and learning opportunities

Job Summary Data scientist Co-ordinate tasks/deliverables within the team Apply data science techniques such as machine learning statistical modeling and artificial intelligence Responsibilities Technology SPOC responsible for solution design Work with the business and technical system client stakeholder to understand current application pains architecture. He will help in building the Architectural blue print Help to define/propose architectures tech stack. Help to define/propose the Machine Learning Algorithms and models. Manage a team of data scientists machine learning engineers Help the Project Manager with work breakdown structure and User Story definitions Co-ordinate tasks deliverables within the team Apply data science techniques such as machine learning statistical modeling and artificial intelligence Measure and improve results Present Final results to stake holders Primary skills: Data science Python AIML GEN AI NLP GCP stack Secondary skills: Pharmacy domain and Data engineering skills

Job Title: Temenos T24 Developer Job Location: Dubai - UAE Riyadh - Saudi Arabia Doha - Qatar Monthly Salary: AED 10k - 15k - Depending on Experience, Full Tax Free Salary Project Duration: 2 Years, Extendable Experience Level Needed: 5 - 10 Years No.of Positions: 05 Key Responsibilities: Design, develop, and maintain banking applications using the Temenos T24 banking platform. Customize T24 core banking modules to meet client-specific requirements, including business logic and workflows. Integrate T24 with other systems, APIs, and third-party applications (e.g., payment gateways, core banking systems, and external databases). Identify, troubleshoot, and resolve issues related to T24 applications, ensuring minimal downtime. Apply updates, patches, and new versions of the T24 software while ensuring system stability. Work with T24's underlying database (Oracle, SQL Server) for data extraction, migration, and performance optimization. Optimize the performance of T24 applications by identifying bottlenecks and implementing solutions for scalability and speed. Ensure that the T24 application is thoroughly tested and meets functional and non-functional requirements. Provide ongoing support for existing T24 implementations, including bug fixes, enhancements, and performance tuning. Create and maintain technical documentation related to T24 customizations, integrations, and configurations. Ensure that T24 applications comply with regulatory standards and security protocols within the banking industry. Work with business analysts, project managers, and other stakeholders to gather requirements and deliver solutions. - Required Experience / Skills: 5+ Years of solid Temenos T24 experience in development / production support Experience in T24 Temenos implementation / migration projects Knowledge of Bloomberg Asset and Investment Manager (AIMS)/ Execution Management System (EMSX) / Fixed Income and Derivatives Execution Management System (TSOX) Experience in capital markets/securities order management systems on buy side / sell side / brokerage systems of trading systems Knowledge of Fixed Income/Bonds/Securities Trading Knowledge of FIX protocol (4.X) knowledge in Agile/Scrum methodology You must be a Temenos T24 Developer with 5 to 10 of Years exp. You should have Islamic T24 Banking / finance functional + T24 product expertise (both). Business Vertical: Banking and Financial Services Capital Markets / Securities Markets / Forex / Insurance Job REF Code: T24_0525 Email ID: spectrumconsulting1977@gmail.com Please Email Your CV with Job REF Code [ T24_0525 ] as subject

Roles and Responsibilities: Architecture & Infrastructure Design Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch . Develop Infrastructure as Code (IaC) using Terraform , and automate deployments with CI/CD pipelines . Optimize cost and performance of cloud resources used for AI workloads. AI Project Leadership Translate business objectives into actionable AI strategies and solutions. Oversee the entire AI lifecycle from data ingestion, model training, and evaluation to deployment and monitoring. Drive roadmap planning, delivery timelines, and project success metrics. Model Development & Deployment Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases . Implement frameworks for bias detection, explainability , and responsible AI . Enhance model performance through tuning and efficient resource utilization. Security & Compliance Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards , and regulatory frameworks. Perform regular audits and vulnerability assessments to ensure system integrity. Team Leadership & Collaboration Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. Promote cross-functional collaboration with business and technical stakeholders. Conduct technical reviews and ensure delivery of production-grade solutions. Monitoring & Maintenance Establish robust model monitoring , alerting , and feedback loops to detect drift and maintain model reliability. Ensure ongoing optimization of infrastructure and ML pipelines. Must-Have Skills: 10+ years of experience in IT with 4+ years in AI/ML leadership roles. Strong hands-on experience in AWS services : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. Expertise in Python for ML development and automation. Solid understanding of Terraform, Docker, Git , and CI/CD pipelines . Proven track record in delivering AI/ML projects into production environments . Deep understanding of MLOps, model versioning, monitoring , and retraining pipelines . Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation. Knowledge of cloud security best practices and IAM role configuration. Excellent leadership, communication, and stakeholder management skills. Good-to-Have Skills: AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. Familiarity with data privacy laws and frameworks (GDPR, HIPAA). Experience with AI governance and ethical AI frameworks. Expertise in cost optimization and performance tuning for AI on the cloud. Exposure to LangChain , LLMs , Kubeflow , or GCP-based AI services .

We are hiring a Python Developer to support and enhance Headstaart’s core backend infrastructure. You will work on high-impact features like real-time analytics, secure document handling, subscription services, and API integration.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role ? Overall 5+ years of experience Working experience in engineering , building ML applications in Python and deploying AIML models in production Familiarity with Developer Tools, CICD (Jenkins, Ansible, Shellscript), Github / Bitbucket etc. Preferred experience in Generative AI, Large Language models and related concepts - GPTs, BERT, NLP, RAG etc. Preferred experience with public cloud AIML services such as Azure OpenAI ? ? ? Mandatory Skills: Generative AI. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ? Mandatory Skills DataIku for ETL operations and preferably other ETL tools like Informatica. Good in Python Coding, SQL, GIT Proven experience as a Data Engineer, Data Integration, Data Analyst. Preferred Skills Banking Domain exposure and AI/ML, Data Science exposure ? 7+ years of experience, including 2+ years of experience in delivering projects in DataIku platforms. Proficiency in configuring and optimizing Dataiku’s architecture, including data connections, security settings and workflow management. Hands-on experience with Dataiku recipes, Designer nodes, API nodes & Automation nodes with deployment. Expertise in python scripting, automation and development of custom workflows in Dataiku Collaborate with data analyst, business stakeholders and client to gather and understand the requirement. To contribute to the developments in DataIku environment to apply data integration with given logic to fulfil Bank Regulatory requirement and other customer requirement. Gather, analyse and interpret requirement specifications received directly from the client. Ability to work independently and effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Familiarity with agile development methodologies. Participate in the CR/Production deployment implementation process through Azure DevOps ? ? Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

What is AI Engineer team responsible for? As a Senior AI Engineer, youll be a key member of the Data & AI team. This team is responsible for designing and delivering data engineering, analytics, and generative AI solutions that drive meaningful business impact. Were looking for a pragmatic, results-driven problem solver who thrives in a fast-paced environment and is passionate about building solutions at scale. The ideal candidate has a strong technical foundation, a collaborative mindset, and the ability to navigate complex challenges. You should be comfortable working in a fast-moving, startup-like environment within an established enterprise, and should bring strong skill sets to adapt new solutions fast. You will play a crucial role in integrating AI solutions in our existing digital solutions, optimizing our data infrastructure, and enabling insights through data #MID_SENIOR_LEVEL What is a Digital & AI/ML Lead Engineer (Senior AI Engineer) responsible for? Serve as a hands-on technical lead, driving project execution and delivery in our growing AI team based in the Hyderabad office. Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable, AI-powered solutions. Design and build AI applications leveraging best smart solutions. Provide quick prototype and evaluation AI/ML solutions aligned with business objectives. Stay current with emerging trends in AI, and machine learning and help implement best practices within the team. Mentor and support junior engineers, fostering a culture of learning and technical excellence. Manage unstructured data and generate embeddings that can further be leveraged into AI products. What ideal qualifications, skills & experience would help someone to be successful? Bachelors or master’s degree in computer science, data science, engineering, or a related field from a premium institute. 7+ years of experience in engineering, software engineering, data science, or machine learning, including 3+ years in a technical leadership role. Strong understanding with data pipelines, Snowflake ecosystem and master data management. Proficiency in Python. Experience working with unstructured data, large language models (LLMs), embeddings, and building generative AI prototypes. Self-starter with a passion for learning new tools and technologies. Strong communication skills and a collaborative, ownership-driven mindset. Work Shift Timings - 2:00 PM - 11:00 PM IST

About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ? ? ? Key Responsibilities Model Deployment & TestingDeploy AI/ML models to development and production environments, ensuring functionality and performance. Model OptimizationEvaluate and size models appropriately to optimize performance and resource utilization. Custom Framework DevelopmentBuild custom frameworks for models that are not supported by existing deployment frameworks. Error Debugging & MonitoringIdentify and troubleshoot 4xx/5xx errors using Splunk and database logs. Performance MonitoringUtilize Grafana to monitor GPU usage, serving metrics, and request processing performance. Customer SupportCollaborate with customers to resolve serving and latency issues. CI/CD & Kubernetes: o Develop and manage CI/CD pipelines for automated deployments. o Deploy models in Kubernetes environments. Storage & InfrastructureCreate and manage Persistent Volume Claims (PVCs) for efficient storage management. Microservices ArchitectureWork within a microservices-based environment, ensuring seamless integration and scalability. Automation & Framework DevelopmentAutomate processes and develop new frameworks to improve deployment efficiency. Performance TestingConduct performance testing to ensure models meet latency and throughput requirements. Team Leadership & Individual ContributionCapable of leading a team while also working independently on critical tasks. Mandatory Skills Python, APIs, AI/ML, CI/CD and Kubernetes ? Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Python for Data Science. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client’s expectations and add value to business. ? Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per product’s requirements Review the used case and see the latest AI that can be used in product’s development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in product’s demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team ? Deliver No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external) ? ? Mandatory Skills: AI Cognitive. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Role & responsibilities Training the candidates on Articial Intelligence.

Key Responsibilities: AI Solution Development: Design and implementation of scalable AI/ML systems, from concept to deployment, ensuring alignment with business goals. Deployment and Integration: Manage the full lifecycle of AI solutions, including testing, deployment, and integration into production environments. Code Quality & Performance: Conduct code reviews and optimize system performance to ensure high-quality, maintainable solutions. Cross-Functional Collaboration: Work with product managers, engineers, and stakeholders to deliver AI solutions that meet business needs. Team Leadership: Mentor junior developers, fostering a culture of innovation and continuous learning within the team. Continuous Improvement: Stay updated on AI trends and technologies, applying best practices to improve system architecture and development processes. Required Skills & Qualifications: Experience: 3+ years in AI/ML development, with a proven track record of deploying scalable AI systems. Technical Expertise: Proficient in Python, TensorFlow, PyTorch, and other AI/ML frameworks. Experience with cloud platforms (AWS, Google Cloud, Azure) for AI deployment. Familiar with containerization (Docker) and CI/CD pipelines. Strong skills in Git, version control, and debugging. Leadership experience, including code review. Good to Have Skills: Big Data: Experience with distributed systems (Hadoop, Spark). Interest or experience in cutting-edge AI research or specific areas like NLP or computer vision. Project Management: Familiarity with Agile/Scrum and tools like Jira or Azure DevOps, etc.

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

About The Role : Job TitleSenior Engineer, AVP LocationPune, India Role Description We are seeking a Data Security Engineer to design, implement and manage security measures that protect sensitive data across our organization. This role focusses on the execution and delivery of Data Security solutions, focusing on configuration, engineering, and integration within a complex enterprise environment. While the role operates within Cybersecurity the person will collaborate with IT, Risk Management, and Business Units on a case-by-case basis, delving Data Loss prevention solutions. The ideal candidate understands and manages the existing tool stack within a complex environment, navigates through technical integration challenges and supports the transition from legacy solutions to new solutions within the pillar and across different areas of the bank. This role will work on specific tools like Symantec DLP, Zscaler but require the flexibility to evaluate and integrate new solutions like PaloAlto, Fortinet, Microsoft Purview and capabilities in existing cloud security solutions like Azure/GCP. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Policy Development and ImplementationDesign and implement data loss prevention policies, standards, and procedures to protect sensitive data from unauthorized access and disclosure. Risk AssessmentConduct regular assessments of our implementation to identify vulnerabilities and potential threats to the organization's data. Develop strategies to mitigate identified risks. DLP SolutionsEvaluate, deploy, and manage DLP solutions and technologies. Ensure that these tools are effectively integrated and configured to protect sensitive data across the organization. Monitoring and AnalysisMonitor data movement and usage to detect and respond to potential data breaches or policy violations. Analyse incidents to identify root causes and develop corrective actions. CollaborationWork with IT, legal, and business teams to ensure that DLP measures align with organizational goals and regulatory requirements. Provide guidance and support to stakeholders on data protection issues. Design and Implement data security frameworks, including encryption, tokenization and anonymization techniques within a hybrid environment Implement cloud-native security controls (e.g., CASB, CSPM, DSPM ) to protect data in SaaS, IaaS, and PaaS environments. Implement Digital Rights Management, encryption and tokenization strategies and solutions to protect data in hybrid environments and prevent unauthorized access and disclosure. Deploy and manage data discovery & classification tools to identify sensitive data across structured and unstructured sources. Implement automated classification and labeling strategies for compliance and risk reduction. Your skills and experience Technical Expertise 5+ years of hands-on experience in Data Security, Information Protection, or Cloud Security. Strong expertise in delivering Data Security platforms (Symantec, Netskope, Zscaler, PaloAlto, Fortinet, etc.). Knowledge of Cloud Service Provisioning and experience with Cloud Security (AWS, Azure, GCP) and SaaS data protection solutions. Experience with Cloud Security (CASB), SaaS Security Posture Management (SSPM), Data Security Posture Management (DSPM). Proficiency in network security, endpoint protection, and identity & access management (IAM). Scripting knowledge (Python, PowerShell, APIs) for security automation are a plus. Hands-on experience with AI/ML and data security related remediations are a plus. Soft Skills & Collaboration Strong problem-solving and analytical skills to assess security threats and data exposure risks. Ability to work cross-functionally with Security, IT, and Risk teams. Effective written and verbal communication skills, especially when documenting security configurations and investigations. Professional certifications such as CISSP, CISM, CCSP, GIAC (GCIH, GCFA), or CEH. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Role Expectations: Lead enterprise solution architecture and define how Adobe Experience Cloud products integrate with other platforms. Own the solution blueprint, ensuring alignment with industry best practices and business objectives. Provide technical leadership in Adobe Experience Cloud solutions, including AEM, AEP, Workfront, Analytics, Target, CJA, AJO, and Edge Delivery. Conduct discovery workshops, gather business requirements, and develop scalable architecture for Adobe implementations. Guide development teams with hands-on technical expertise and ensure best practices in implementation, code quality, and performance tuning. Lead integration efforts between Adobe Experience Cloud and third-party solutions such as eCommerce, CDPs, CRMs, AI/ML platforms, and legacy systems. Support RFP solutioning, preparing delivery estimations, staffing plans, technical architecture decks, and scope documents for client engagements. Act as a trusted advisor for clients, handling technical presentations, client visits, and strategic roadmaps for Adobe adoption. Mentor and grow internal teams, fostering Adobe SME expertise across AEM, AEP, and other Adobe products. Oversee DevOps practices, including CI/CD pipelines, cloud automation, and performance optimization for Adobe solutions. Ensure compliance with data privacy laws (GDPR, CCPA) and enterprise security policies Must Have Deep expertise in Adobe Experience Cloud: AEM (Sites, DAM, Edge), Workfront, Adobe Analytics, Adobe Target, AEP RTCDP, CJA, AJO. System integration & API management: Strong experience integrating Adobe solutions with third-party platforms (eCommerce, CRM, AI/ML, DAM, CDPs). Cloud & Headless CMS knowledge: Familiarity with Drupal, Sitecore, Contentful, and headless content delivery strategies. Enterprise authentication & security: OAuth, SAML, SSO, LDAP integration. Multi-solution orchestration: Ability to design personalized customer journeys across online and offline channels using Adobe Journey Optimizer (AJO) & AEP. Experience migration: Large-scale content migration from other CMS platforms to AEM as a Cloud Service (AEMaaCS). Omnichannel content delivery: Strong experience with AEM Edge Delivery, Content & Experience Fragments, and headless content APIs. DevOps & automation: CI/CD pipelines using Adobe Cloud Manager, Jenkins, Maven etc. Solutioning & stakeholder management: Ability to present solutions to clients, handle RFPs, and drive technical discussions. Strong troubleshooting skills for resolving Workfront and Fusion-related issues Nice to Have Experience in AI-powered content optimization (Adobe Sensei, AI/ML-driven personalization). Hands-on expertise in RESTful APIs, GraphQL, Adobe I/O Runtime & SDKs. Knowledge of front-end frameworks such as React, Angular, Vue.js for AEM implementations. Experience with Adobe GenStudio, Smart Tagging, and Scene7 for asset management. Understanding of AEM Forms and automation workflows. Hands-on Adobe Campaign Classic (ACC) & Standard (ACS) integration experience. Experience 12+ years of experience in digital experience architecture and enterprise integration. Proven track record of leading large-scale Adobe Experience Cloud implementations. Experience with multiple CMS migrations (Drupal, Sitecore, Contentful AEM). Delivered at least 5+ AEM implementations and 3+ multi-solution Adobe Experience Cloud integrations. Led RFP solutioning, client workshops, and technical pre-sales discussions for Adobe projects. Certifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Adobe Certified Expert / Master Architect in AEM, AEP, Analytics, Workfront or Target.

The Senior Full Stack Python Engineer is responsible for developing and maintaining robust, scalable, and efficient software solutions. This role requires: Deep understanding of Python programming and familiarity with additional languages like Java and .NET. Extensive knowledge of NoSQL and SQL databases, with significant experience in Microsoft Azure, particularly Cosmos DB. Comprehensive understanding of microservices architecture and best practices in software development. Proficiency with Generative AI models such as OpenAI, Mistral, Claude, Gemini, Llama and schema-driven prompt engineering. Full-stack development capabilities, including front-end UI/UX development using React. Roles and Responsibilities Design, develop, and maintain high-quality Python applications. Demonstrate expertise in working with both NoSQL and SQL databases. Leverage experience with Microsoft Azure services, especially Cosmos DB. Architect and implement microservices-based applications. Utilize advanced knowledge of schema-driven prompt engineering and Generative AI models. Construct and maintain APIs, integrating various systems. Engage with stakeholders to gather requirements and translate them into software solutions. Apply meticulous attention to detail and excellent communication skills. Operate within Agile teams, applying Agile methodologies. Enhance user experience by creating intuitive user interfaces from Figma mockups.

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Role & responsibilities Deliver engaging and hands-on training sessions for students/professionals. Design and update course materials, lesson plans, and assessments. Provide real-world examples and case studies to enhance learning. Guide participants through practical exercises, coding challenges, and projects. Evaluate student performance and provide constructive feedback. Stay updated with the latest industry trends and incorporate them into training. Conduct guest lectures, boot camps, or hackathons as required. Preferred candidate profile Strong expertise in AIML with hands-on experience. Prior experience in corporate or academic training is preferred. Excellent presentation, communication, and mentoring skills. Familiarity with online coding platforms like LeetCode, CodeChef, HackerEarth. Knowledge of industry best practices and real-world applications. Bachelors/Masters degree in relevant field or equivalent professional experience. Certifications in relevant technologies are a plus. Interested candidates can share their profile at neha.agarwal@xebia.com.

Experience in AI/ ML, Microsoft Power Platform, Python, SQL, Implementation and Architecture designing. Any experience in working with Data Analytics tools like Power BI, Spotfire etc. Email id- ta6@nippondata.com

Experts from engineering, AI/ML, product management and delivery in a multi- disciplinary squad, building business critical applications for bp's production & operations business. As a Software Engineer, you will be responsible for building, maintaining and fixing the software and services that powers our technology solutions Capable in at least one programming language (C#, Python, or TypeScript) developing cross-platform solutions. Capable in writing secure, stable, testable, and maintainable code with minimal defects Demonstrable professional software development experience Capable in software engineering practices & standard processes for full SDLC, including coding standards, code reviews, source control management, continuous deployments, testing, and operations Capable in building and scaling infrastructure services using Microsoft Azure

Must have: Python programming, Frameworks Good to Have: AI exposure, Cloud, AirFlow Solid coding skills in Python , Pandas, Numpy, Airflow ,scikit-learn, TensorFlow/PyTorch, and web frameworks like Flask Ability to integrate generative models into production environments and optimize their performance Proficient in using frameworks such as TensorFlow, PyTorch, and Keras for building and training generative models. Familiarity with Java, cloud technologies, and DevOps tools such as Jenkins, Kubernetes, and GitHub Actions is a plus Solid individual contributor with expertise in NLP, AI, and ML Good knowledge of front-end tools such as HTML, CSS, JavaScript, and Angular Skilled in creating synthetic data and enhancing data quality using generative techniques. Expertise in applying generative AI for various applications, including image synthesis, text generation, and style transfer Well versed in Data Structures & Algorithms

Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW

Location: Remote Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the FinancialServices Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years. We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains Bachelor's or Master's degree in Computer Science, AI, or a related field. Strong proficiency in Python and familiarity with relevant libraries and frameworks (NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, etc.). Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch, with a focus on NLP applications. Familiarity with cloud platforms (e.g., Azure, Google Cloud) Experience with Django, Flask, or similar web frameworks for API development. Proficiency in SQL for data manipulation and analysis. Strong communication skills and ability to collaborate effectively in a cross-functional team environment. Experience with telecom integrations (e.g., Avaya, Twilio) would be advantageous. Develop and implement enterprise solutions for document processing, utilizing cutting-edge technologies like large language models and generative AI. Handson working with Azure Services, Large Language Models like GPT3.5-Turbo, GPT-4 etc