Product Manager

Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

VP, Enterprise Cybersecurity Engineering

Lead, Data & AI Governance

Technical Director, Advanced Packaging Integration

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

Responsibilities : <ul><li>Engage executive and corporate users to understand needs, decision workflows and pain points.</li><li>Translate requirements into clear product definitions, user stories and acceptance criteria.</li><li>Run structured discovery and experimentation to validate value and feasibility before build commitments are made.</li><li>Identify opportunities to extend assigned products from task-level support to broader workflow automation, and contribute these to the product roadmap.&nbsp;</li><li>Own the end-to-end delivery of assigned AI products, including Rocket, from definition through to launch.</li><li>Ensure quality, usability and readiness criteria are met before release to a senior user base.&nbsp;</li><li>Own assigned products after launch, driving iterative improvement based on usage data and user feedback.</li><li>Define, track and report product KPIs covering adoption, usage, accuracy, satisfaction and time saved.</li><li>Register and maintain AI use cases for assigned products within the agreed portfolio management process.&nbsp;</li><li>Act as the day-to-day product interface for executive and corporate stakeholders.&nbsp;</li></ul> Requirements: <ul><li>3 – 6 years of experience in digital or AI product management, product ownership or equivalent delivery roles.&nbsp;</li><li>Bachelor’s degree in a quantitative field such as information technology, business, finance, engineering or mathematics.&nbsp;</li><li>Hands-on experience in product management across discovery, delivery and lifecycle.&nbsp;</li><li>Exposure to AI, automation or data-driven products.&nbsp;</li></ul>

Responsibilities: <ul><li>Support the implementation of BIM and VDC processes across design, construction, and asset handover phases.</li><li>Assist in reviewing BIM models and project information to ensure compliance with client standards and ISO 19650 requirements.</li><li>Participate in model coordination, clash detection, and multidisciplinary coordination workshops with project stakeholders.</li><li>Support reality capture initiatives, including drone surveys, laser scanning, photogrammetry, and 360° site documentation.</li><li>Contribute to the development and continuous improvement of BIM standards, workflows, and digital delivery practices.</li><li>Assist in analyzing project and asset data to support digital reporting, performance monitoring, and informed decision-making.</li><li>Research, evaluate, and support the adoption of emerging technologies such as Digital Twins, AI, IoT, reality capture, and advanced analytics solutions.</li><li>Support innovation initiatives, pilot projects, and technology assessments aimed at improving project delivery, operational efficiency, and sustainability outcomes.</li><li>Monitor industry trends and best practices in BIM, VDC, PropTech, ConTech, and digital transformation to identify opportunities for continuous improvement and innovation.</li></ul> Requirements: <ul><li>Bachelor’s degree in architecture, Engineering, Construction Management, or a related built-environment field.</li><li>Basic understanding of BIM, digital design, construction processes, and project information management.</li><li>Strong interest in BIM, VDC, digital construction, innovation, and emerging technologies</li><li>0-3 years of experience; fresh graduates are encouraged to apply.</li><li>Internships, university projects, research, competition, or extracurricular experience related to BIM, design, construction technology, data, or innovation is an advantage</li><li>Basic proficiency in one or more BIM or design applications such as Autodesk Revit, , Navisworks, or equivalent tools.</li><li>Interest in reality capture, drones, laser scanning, 360-degree imagery, GIS, digital twins, AI, and immersive technologies.</li><li>Proficiency in Microsoft 365 applications, particularly Excel, PowerPoint, Word, Outlook, and Teams; Power BI knowledge is an advantage.</li><li>Analytical thinking, attention to detail, problem-solving, research, and data interpretation skills.</li><li>Clear written and verbal communication, presentation, teamwork, time management, and willingness to learn.</li></ul>

Role Description: <ul><li>As a Regional Team Lead of Incident Response &amp; Security Operations, you will be a key member of our collaborative security team, working alongside other security professionals to protect our organization from sophisticated cyberattacks. In this "player-coach" role, you will act as the senior technical expert and operational guide for your region’s Security Operations Center (SOC) analysts.</li><li>You will be a hands-on practitioner, working alongside your team to hunt for threats, analyze alerts, and lead the technical response to security incidents.</li><li>The ideal candidate has a strong background in hands-on security analysis, a talent for mentoring others, and the composure to lead technical investigations under pressure. You will be the primary escalation point for the SOC, ensuring the teams work is effective, efficient, and continuously improving our ability to defend the organization.</li></ul> Responsibilities: Your main tasks: <ul><li>Incident Response: Assist with all major security incidents, coordinating global and regional efforts during security incidents and investigations.</li><li>Security Operations: Oversee regional operations of the Security Operations Center (SOC), ensuring timely and effective analysis of security alerts.</li><li>Identify areas of improvement through automation and new processes. Improve the development and tuning of detection rules, analytics, and correlation logic to improve alert fidelity. Lead threat response and proactive vulnerability/threat notifications.</li><li>Strategic Leadership: Contribute to the comprehensive enterprise information security strategy, roadmap, and architecture in alignment with business objectives.</li><li>Work with management to drive program and projects amongst your team.&nbsp;</li><li>Team Management &amp; Development: Lead, mentor, and manage a high-performing team of security analysts, fostering a culture of technical excellence, innovation, and continuous learning. Manage team schedules, conduct performance reviews, and guide career development for team members.</li><li>Documentation &amp; Knowledge Sharing: Develop and maintain comprehensive documentation, including system architecture diagrams, data flow diagrams, log source configurations, alert rationale, and incident response procedures. Mentor and provide technical guidance to junior security analysts.</li><li>Collaboration &amp; Communication: Effectively communicate technical concepts to both technical and non-technical audiences. Interface with other IT teams (network, systems, application development, etc.) to ensure security is integrated throughout the infrastructure.</li><li>Strategic Planning &amp; Budgeting: Collaborate with leadership on strategic planning, budget forecasting, and resource allocation.</li></ul> Requirements: Required Qualifications: <ul><li>Bachelors degree in Computer Science, Information Security, or a related field, or equivalent practical experience.</li><li>Minimum of 5-7 years of experience in information security, with a strong focus on security.</li><li>Significant experience with at least one enterprise-grade SIEM platform (e.g., Devo, Splunk, QRadar, Sentinel, ArcSight).</li><li>Experience with scripting languages (e.g., Python, PowerShell, Regular Expressions) for automation and data manipulation.</li><li>Familiarity with various operating systems (Windows, Linux, macOS) and cloud platforms (AWS, Azure, GCP).</li><li>Knowledge of common security frameworks and standards (e.g., NIST, MITRE ATT&amp;CK, CIS).</li></ul> Preferred Qualifications: <ul><li>Experience with Devo, Devo SOAR, and/or LogicHub</li><li>Advanced programming/coding in one or more languages (C#, Python, etc).</li><li>Understanding of security concepts, including network security, endpoint security, intrusion detection/prevention systems (IDS/IPS), firewalls, and vulnerability management.</li><li>Manufacturing and/or engineering industry experience.</li><li>Experience working in a large global organization.</li></ul>

Responsibilities: <ul><li>Work on advanced Collaboration, Webex and strategic customer solutions, driving adoption, optimisation and long-term customer outcomes.</li><li>Engage directly with customers, building trusted relationships and translating business requirements into technical solutions.</li><li>Design, deploy, migrate, integrate, optimise and troubleshoot Collaboration and Webex environments.</li><li>Support complex migrations and integrations across and third-party technologies, ensuring interoperability and optimal performance.</li><li>Troubleshoot complex Collaboration issues across CUCM, Webex Calling, SIP, voice, video, endpoints and network infrastructure, collaborating with TAC and other stakeholders on CAP case resolution.</li><li>Support Executive Briefings and QBRs, providing technical insights and recommendations aligned to customer business priorities and future-state outcomes.</li><li>Create customer-facing technical documentation, implementation guidance and reusable technical content aligned to CX standards.</li><li>Leverage AI, automation, APIs, programmability and orchestration to improve technical delivery, productivity and customer outcomes, while validating AI-generated outputs.</li><li>Explain complex technical concepts to diverse audiences and enable customers to effectively adopt and operate solutions.</li><li>Build knowledge of competitor and third-party technologies to support migration, integration and solution optimisation.</li><li>Contribute to technical knowledge sharing, automation artefacts, documentation templates and continuous improvement of delivery methodologies.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, with 8–12 years of experience in company Contact Center technologies across Enterprise and Service Provider environments.</li><li>Strong expertise in Contact Center solutions, including architecture, design, deployment, and implementation of platforms such as Unified Contact Center Enterprise (UCCE), Intelligent Contact Management (ICM), Customer Voice Portal (CVP), Unified Customer Voice Portal (CVP), Unified Communications Manager (CUCM), Finesse, and Unified Border Element (CUBE).</li><li>Proven experience in designing and implementing company Collaboration Contact Center components, including Agent Desktop, ICM scripting, CVP Call Studio scripting, and Contact Center reporting and analytics solutions.</li><li>In-depth understanding of telephony and call routing technologies, including SIP, H.323, MGCP, SCCP, ISDN PRI, QSIG, FXO, FXS, and POTS, with strong troubleshooting and integration capabilities.</li><li>Solid grasp of call flow design, routing strategies, and voice infrastructure protocols within large-scale enterprise contact center deployments.</li><li>Experience working with company UCS infrastructure and VMware virtualization technologies, including vCenter, ESXi, and vSphere Client.</li><li>Solid grasp of TCP/IP networking fundamentals and supporting infrastructure services/protocols such as DHCP, DNS, TFTP, NTP, and LDAP.</li><li>Experience with Webex Contact Center (Webex CC), including solution planning, migration, deployment, and implementation activities.</li><li>Familiarity with AI-driven capabilities and integrations within UCCE, Webex Contact Center, and Webex Customer Experience solutions</li></ul>

Responsibilities: <ul><li>Serve as a trusted technical advisor to customers, providing expert guidance on Data Center and networking solutions.</li><li>Lead the strategy, design, and implementation of complex network architectures aligned with customer business objectives.</li><li>Manage end-to-end delivery of high-impact technical engagements, ensuring successful implementation and optimization.</li><li>Translate customer business requirements into scalable, secure, and high-performance technology solutions.</li><li>Collaborate with account teams, partners, and cross-functional teams to drive technology adoption and customer success.</li><li>Support pre-sales activities, including technical consultations, solution design, and architecture recommendations.</li><li>Drive technology transitions and deliver measurable business outcomes through innovative solutions.</li><li>Act as the primary escalation point for complex technical issues, providing advanced troubleshooting and problem resolution.</li><li>Leverage deep technical expertise across Data Center and networking technologies to resolve critical customer challenges.</li><li>Develop and contribute digital intellectual capital, reusable solutions, and best practices to improve delivery efficiency.</li><li>Promote continuous learning, mentorship, and knowledge sharing within the global Customer Experience (CX) team.</li><li>Strengthen customer relationships by delivering high-quality technical engagements and exceptional customer experiences.</li><li>Align technology strategies with customer goals to improve network performance, scalability, and operational efficiency.</li><li>Contribute to customer satisfaction, business growth, and the successful adoption of technologies.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science or equivalent, with 8–12 years of relevant experience in customer-facing technical consulting, pre-sales, and/or service delivery roles</li><li>Deep knowledge of L2/L3 networking protocols and technologies (vPC, STP, HSRP, OSPF, EIGRP, BGP) with strong hands-on Nexus 2K/5K/7K/9K platform experience</li><li>Lead &amp; drive technology design, implementation, execution, and/or optimization for projects/accounts to accelerate customer outcomes.</li><li>Proven experience in design and deployment of Data Center solutions including traditional DC standalone Nexus design, VXLAN Fabric and ACI Fabric solutions using ACI MultiPod /Multisite/Remote Leaf Fabric architectures.</li><li>Partnered with customers to design and implement network solutions, ensuring seamless system integration and proactive service assurance</li><li>Active Data Center certification such as CCIE or CCNP, or equivalent vendor certification (e.g. VCP)</li><li>Experience integrating network services appliances (such as firewalls, IPS, load balancers, WAN optimizers) within Data Center solution designs</li><li>Experience in&nbsp;Build and reviews project work e.g. Design recommendations, High-Level Design, Low-Level Design, Implementation/ Change Management Plans.</li></ul>

Role Description: <ul><li>Youll be empowered to be at the top of your game by providing strategic partnership, and innovative technology solutions that supports our client vision of being a tech-driven, global, long-term investment firm.</li></ul> Responsibilities: What will you do as an VP, Enterprise Cybersecurity Engineering, Cybersecurity Platform Engineer? <ul><li>Identify and recommend improvement areas in existing enterprise security architecture to address evolving cybersecurity threats</li><li>Align and balance business requirements with cybersecurity, information, and technology requirements, based on the organization’s risk appetite</li><li>Evaluate, perform proof-of-value/proof-of-concept, design, build and implement enterprise-class cybersecurity systems</li><li>Develop integrated security operating models and documentations to ensure operational efficiency, scalability, and sustainability</li><li>Act as a domain expert and trusted partner in Cyber Security &amp; Resilience; work closely with stakeholders in Technology Group and other business groups on cybersecurity engineering related matters</li></ul> Requirements: What qualifications or skills should you possess in this role?&nbsp; <ul><li>Bachelor’s degree in Information Technology, Computer Science, or a related discipline.</li><li>At least 10 years of relevant experience preferably in financial services or asset management industries, with minimum 7 years in Cyber Security or Information Security.</li><li>Proven experience in implementing and operationalizing enterprise cybersecurity platforms, including:</li><li>Security Operations Tooling: EDR, NDR, SIEM, SOAR, XDR, Threat Intelligence Platforms (TIPs).</li><li>Email Security: Secure email gateways (SEG) and Integrated Cloud Email Security (ICES), anti-phishing and anti-malware controls, DMARC/DKIM/SPF authentication, and email threat detection and response.</li><li>Continuous Threat Exposure Management (CTEM): Attack surface assessment, vulnerability assessment, data aggregation and risk-based prioritization, threat exposure management, and attack simulation/validation (e.g., BAS).</li><li>Experience operationalizing a CTEM program or equivalent risk-based exposure management framework preferred.</li><li>Working knowledge of cloud security controls and reference architectures across AWS, Azure, and Google Cloud Platform.</li><li>Scripting and coding skills, with proficiency in Java, Python, C#, or similar programming languages, and good understanding of REST API’s and JSON.</li><li>Ability to produce detailed documentation, including design diagrams and process flows.</li><li>Must be meticulous, versatile, and inquisitive, having strong attention to detail with an analytical mind and outstanding problem-solving skills.</li><li>Desire to learn, working in a diverse environment, interacting with multiple teams and functions to support strategic goals. Be a good team player and excellent communicator.</li><li>Professional qualification in information security, such as CISSP / CISM / CEH will be advantageous.</li></ul>

Responsibilities: Strategy, Framework &amp; Policy Architecture <ul><li>Define Group-wide Data &amp; AI Governance strategy, framework, operating model and roadmap, aligned to business strategy and AI ambitions</li><li>Author and maintain the Groups policy architecture - policies, standards, guidelines and procedures</li><li>Provide oversight, challenge and monitoring of adherence to policies and standards</li><li>Lead the continuous-improvement agenda for governance maturity through targets and metrics</li></ul> Governance Operating Model &amp; Stewardship <ul><li>Establish the governance model: define decision rights (RACI), and Data Owners and Stewardship roles across the business units</li><li>Translate governance topics into business-relevant insights for the relevant audiences.</li></ul> Data Governance, Catalogue &amp; Metadata Standards <ul><li>Set Group standards for data ownership, critical data elements, business glossary, metadata, data classification and dataset certification</li><li>Mandate data contracts on critical datasets and lineage coverage, embedding governance checks into the delivery lifecycle</li><li>Own the access governance standard and govern access to data, balancing innovation with appropriate controls</li></ul> Data Quality Management <ul><li>Own the Group data quality policy and standard - quality dimensions, rule libraries, thresholds and SLAs</li><li>Oversee the data quality operating loop, per-domain scorecards, remediation to SLA and owner-accountability reporting</li><li>Set the dataset certification regime before business use</li></ul> Data Protection, Sharing &amp; Retention <ul><li>Partner with Cybersecurity and Data Protection Office to develop and maintain the data protection framework and policies</li><li>Oversee data-sharing, retention and disposal practices across various stakeholders</li><li>Collaborate with Legal, Privacy and Compliance to ensure data compliance across jurisdictions</li><li>Manage and escalate data protection risks, tracking mitigations to closure</li></ul> Master Data Management <ul><li>Serve as design authority for master data capability, to centralize and manage master and reference data efficiently</li><li>Broker and secure ratification of master data design decisions across systems and stakeholders</li><li>Drive change management, adoption, integration and scaling of the MDM platform across the organization</li></ul> Regulatory Compliance, Risk &amp; Assurance <ul><li>Conduct regulatory horizon scanning across the jurisdictions where company operate, re-baselining policies, controls and plans as laws and standards evolve</li><li>Lead Group-wide Key Risk and Control Self-Assessment initiatives for Data and AI, and coordinate data and AI audits, compliance reviews and inspections</li></ul> Leadership, Reporting &amp; Culture <ul><li>Own the governance KPI metrics, dashboards, and reporting for executive stakeholders</li><li>Serve as the senior liaison between business units and technology on governance requirements</li><li>Be an agent of change inculcating data and AI governance culture and discipline across the organisation</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Management, Data/Analytics, Engineering, Law, or a related discipline; a relevant postgraduate qualification is an advantage.</li><li>Ongoing commitment to training and professional development.</li><li>At least 8 years of working experience in data management, including 5 or more years leading Data Governance, Data Quality or Master Data Management programmes in multi-entity or regulated organisations.</li><li>Extensive knowledge of data and AI regulatory, standards, and compliance requirements.</li><li>Experience in AI or model governance, model risk management or responsible-AI programmes, including generative AI; exposure to agentic AI governance is an advantage.</li><li>Proven track record standing up or transforming a governance function and operating model.</li><li>Good understanding of risk management and compliance frameworks and related disciplines such as risk and control self-assessment.</li><li>Experience in designing and delivering a Master Data Management capability.</li><li>Strong hands-on technical fluency: proficient in SQL with working Python; credible with modern data catalogues (e.g. DataHub, Microsoft Purview), data quality frameworks, data contracts and lineage, policy-as-code access models and Git / pull-request-based delivery.</li><li>Relevant certifications such as Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP) or Certified Information Systems Auditor (CISA) are strongly preferred.</li><li>Excellent written and oral communication; skilled at authoring policies, standards, guidelines and executive materials that business and engineering teams can act on.</li></ul>

Responsibilities: <ul><li>Lead cross-functional efforts to develop and enable next-generation 2.xD packaging concepts, architectures, and technologies</li><li>Define, document, and implement end-to-end process flows for panel-level packaging technologies</li><li>Lead material selection, characterization, and compatibility assessments for large form factor substrates</li><li>Partner with customers to define and align process specifications and acceptance criteria</li><li>Collaborate with business units on process development (lithography, etch, thin films, etc.), module co-optimization, and technology transfer to customers</li><li>Contribute to our client equipment product strategy by providing feedback to business unit leaders on process and hardware enhancements required to meet customer roadmaps</li><li>Analyze process data to identify trends, drive optimization, and improve performance</li><li>Conduct root-cause analyses of defects and implement corrective actions to improve yield and reliability</li><li>Within established safety guidelines, design and execute complex engineering experiments; collect and analyze data; and deliver rigorous reports with innovative, practical solutions</li><li>Publish and present technical findings at leading industry conferences and in peer-reviewed journals</li><li>Mentor and guide early-career engineers; provide technical direction and best practices</li></ul> Requirements: <ul><li>Master’s degree with 10 years or PhD degree with 5 years of experience in Electrical Engineering, Materials Science, Chemical Engineering, or related field</li><li>In-depth knowledge and hands-on experience with advanced 2.xD packaging technologies such as fan-out panel-level packaging (FOPLP), (organic) interposer, substrate and wafer-level back-end technologies and related process flows</li><li>Expertise in semiconductor processing and integration, including lithography, dry etch, thin film deposition and materials modification techniques on wafer and/or panel-level</li><li>Strong understanding of process equipment and packaging specific materials, including selection criteria, process interactions and performance trade-offs</li><li>Proficiency in statistical data analysis (e.g. DoE, JMP)</li><li>Knowledge of industry standards and best practices in semiconductor packaging</li><li>Solid understanding of process characterization, metrology, materials &amp; failure analysis</li><li>Working knowledge of reliability requirements and qualification methodologies</li><li>Proven capability to lead multi-functional teams to resolve complex technical problems</li><li>Exceptional written and verbal communication skills</li><li>Develop clear, compelling technical presentations and executive‑level slides to effectively convey complex concepts</li><li>Drive structured technical discussions with customers and suppliers</li><li>Articulate positions, influence decisions, and align technical direction</li><li>Ability to produce high‑quality, technically rigorous written content such as reports, white papers, and publications</li><li>Ability to work effectively across geographies and time zones</li></ul>

Responsibilities: <ul><li>Lead the development effort for cloud-native applications across the Caching Solutions and Rewards System teams, ensuring timely execution against committed business outcomes.</li><li>Drive business commitments by aligning scope, sequencing, and technical approach with Product Management, and ensuring delivery plans are realistic, transparent, and measurable.</li><li>Design and implement continuous integration and continuous delivery (CI/CD) processes to deliver applications to production, fostering a culture of continuous process improvement.</li><li>Provide hands-on technical leadership through architecture/design reviews, code reviews, and guidance to engineers to ensure compliance with standards and best practices.</li><li>Perform Technology Alternate Assessments and create Proofs-of-Concept (as necessary) to validate options and inform technical decisions.</li><li>Work collaboratively with Product Management and Platform Engineering teams during development, launch, and continuing refinement of products iteratively.</li><li>Collaborate with internal technical resources and third-party vendors to resolve issues, understand</li><li>underlying causes, and implement sustainable solutions.</li><li>Work with team members to design, architect, and implement solutions across geographic locations, ensuring effective coordination and consistent engineering execution.</li><li>Coordinate and communicate status across stakeholders, and report delivery progress, risks, and dependency needs to leadership on a regular cadence.</li><li>Maintain deep hands-on technical knowledge by evaluating trends in modern software development practices; continuously learn and stay at the leading edge of industry trends.</li></ul> Requirements: <ul><li>Bachelor’s Degree with 8+ years of system engineering experience, or in lieu of a degree 10+ years of skilled system engineering experience.</li><li>8+ years of Strong hands-on development experience in Java and Spring Boot for building enterprise-grade services.</li><li>5+ years of Proven expertise in designing and implementing cloud-native applications using a microservices-based architecture.</li><li>Solid knowledge of event streaming and processing patterns using Kafka.</li><li>Experience deploying and operating applications on cloud platforms such as AWS and PCF (Pivotal Cloud Foundry).</li><li>Strong understanding of data storage and caching concepts and implementations using GemFire, Redis &amp; Elastic cache.</li><li>5+ years of Working knowledge of database design and persistence using MySQL, Aurora SQL &amp; no SQL.</li><li>Experience with observability, logging, and production monitoring, including tools such as Splunk and New Relic</li></ul>

Responsibilities: <ul><li>Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning.&nbsp;</li><li>Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology.&nbsp;</li><li>Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images.&nbsp;</li><li>To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents.&nbsp;</li><li>Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc.&nbsp;</li><li>Define and estimate technical solutions, document technical approach options and recommendations.</li></ul> Requirements: <ul><li>PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)&nbsp;</li><li>B. Tech. / B.E. with exceptional academic/professional background&nbsp;</li><li>Image Processing, Pattern Recognition, Computer Vision&nbsp;</li><li>Machine Learning, Deep Learning&nbsp;</li><li>Experience with Medical Image Processing is an added advantage&nbsp;</li><li>Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms&nbsp;</li><li>Strong programming knowledge in Pytorch, Tensorflow&nbsp;</li><li>Hands-on experience in using Deep Learning frameworks and libraries&nbsp;</li><li>Concepts of parallel architecture on GPU is an added advantage</li><li>Should have 4+ years of experience in Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Object Detection, Pytorch, Tensorflow</li></ul>

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58 it architecture Jobs found

Product Manager

Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

VP, Enterprise Cybersecurity Engineering

Lead, Data & AI Governance

Technical Director, Advanced Packaging Integration

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

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58 it architecture Jobs found

Product Manager

Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

VP, Enterprise Cybersecurity Engineering

Lead, Data & AI Governance

Technical Director, Advanced Packaging Integration

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

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