Regional Manager – South India

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Director, Advanced Packaging Disruptive Technology

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

VP, IS Risk - Assurance

Enterprise Analytics (AI) – TDM - Transformation Lead

Senior Analyst, Threat Detection and Response

Role Description: <ul><li>Responsible for sales and business development for Two-Wheeler (2W) OEM customers within clients Automotive Business Unit.</li><li>Drive key account growth, customer acquisition, and execution of Component Aggregate Manufacturer (CAM) and Harness Maker (HM) development strategies.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Drive revenue growth for assigned 2W OEM accounts across Karnataka &amp; Tamil Nadu Region</li><li>Develop and execute account strategies aligned with Automotive BU objectives</li><li>Maintain strong relationships with key stakeholders across OEMs including procurement, engineering, and program teams&nbsp;</li><li>Identify and develop new business opportunities with 2W OEMs and emerging EV players&nbsp;</li><li>Lead Component Aggregate Manufacturer (CAM) engagement activities including RFQs, pricing, negotiations, and contract closure&nbsp;</li><li>Collaborate with engineering and product teams for new product introductions and customization&nbsp;</li><li>Drive Harness Maker (HM) ecosystem development for increased wallet share&nbsp;</li><li>Track market trends, competitor activity, and customer strategy in 2W segment&nbsp;</li><li>Ensure accurate sales forecasting and pipeline management&nbsp;</li><li>Drive design-in activities and support project lifecycle from concept to SOP</li><li>Intensive travel &amp; expected to be at customer’s location (more than 75% working days) within Karnataka &amp; Tamil Nadu Region</li></ul> Key Performance Indicators (KPIs)&nbsp; <ul><li>Retention and growth of existing business across assigned accounts&nbsp;</li><li>Comprehensive competition mapping and strategic counter-planning&nbsp;</li><li>Deep understanding and effective promotion of our client portfolio&nbsp;</li><li>Driving new product development (NPD) aligned with customer needs&nbsp;</li><li>Achieve and exceed revenue growth targets year-on-year&nbsp;</li><li>Maintain healthy Accounts Receivable (AR) and ensure timely collections&nbsp;</li><li>Build and sustain a strong 5-year revenue pipeline&nbsp;</li><li>Identify, understand, and capitalize on future trends in the 2W (ICE &amp; EV) industry&nbsp;</li><li>Increase our client content per vehicle/platform&nbsp;</li><li>Coordinate with cross-functional teams (CFTs) to drive new project wins and execution&nbsp;</li><li>Strong understanding of 2W ICE and EV architectures to enable solution selling&nbsp;</li></ul> Requirements:&nbsp; Qualifications &amp; Experience&nbsp; <ul><li>Bachelor’s degree in Engineering (Mechanical/Electrical/Electronics preferred); MBA is a plus&nbsp;</li><li>5-10 years of experience in automotive sales/business development&nbsp;</li><li>Strong exposure to Two-Wheeler OEMs in India&nbsp;</li><li>Experience in connectors, wiring harness, or automotive components preferred&nbsp;</li><li>Proven track record in key account management and business growth&nbsp;</li></ul> Skills&nbsp; <ul><li>Strong negotiation and influencing skills&nbsp;</li><li>Excellent relationship management&nbsp;</li><li>Strategic thinking and execution&nbsp;</li><li>Technical understanding of automotive electrical/electronic systems&nbsp;</li><li>Strong communication and presentation skills&nbsp;</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: Disruptive Pathfinding &amp; Technology Strategy <ul><li>Define and execute long-range (N+2 and beyond) pathfinding roadmap for advanced packaging, identifying next inflection points in integration, interconnect, materials, and architectures.</li><li>Drive concept incubation and feasibility exploration for disruptive packaging approaches beyond existing platforms (e.g., novel interconnect schemes, heterogeneous integration architectures, advanced substrate innovations).</li><li>Evaluate emerging technology options and guide make/buy/partner decisions to establish differentiated capability ahead of industry adoption cycles.</li><li>Anticipate and define technology inflections aligned to AI, HPC, memory integration, chiplet ecosystems, and future system architectures.</li></ul> Innovation Leadership &amp; Team Building <ul><li>Build, lead, and inspire a world-class pathfinding and innovation team, fostering a culture of bold thinking, experimentation, and calculated risk-taking.</li><li>Instill an innovation-first mindset, encouraging teams to challenge existing assumptions and explore unconventional solutions.</li><li>Establish structured frameworks for idea generation, incubation, rapid prototyping, and down-selection.</li><li>Mentor technical leaders and create a pipeline of innovation talent capable of sustaining long-term differentiation.</li></ul> Customer &amp; Market-Driven Innovation <ul><li>Translate customer roadmaps, system architecture trends, and market inflections into actionable technology development strategies.</li><li>Engage deeply with key customers to identify latent needs and unmet challenges not addressed by current packaging solutions.</li><li>Drive creation of new product concepts and technology platforms that deliver step-function improvements in performance, cost, power, and scalability.</li><li>Position offerings to create clear value differentiation and long-term competitive advantage.</li></ul> Ecosystem Development &amp; Strategic Partnerships <ul><li>Build and lead a collaborative innovation ecosystem across materials suppliers, substrate vendors, OSATs, foundries, equipment partners, and research institutions.</li><li>Identify and activate disruptive partnerships that accelerate innovation cycles and enable early validation of emerging technologies.</li><li>Drive joint development programs and consortia engagement to shape industry direction and standards.</li></ul> Program Leadership &amp; Execution Governance <ul><li>Establish governance models for early-stage technology programs, balancing exploration with execution discipline.</li><li>Drive alignment across engineering, product, and business units to transition pathfinding concepts into development pipelines.</li><li>Develop executive-level narratives and decision frameworks to communicate technology trade-offs, investments, and strategic priorities.</li><li>Ensure learnings from early exploration are captured, scaled, and leveraged across the organization.</li></ul> Leadership Expectations <ul><li>Visionary Technology Leader: Anticipates industry disruption and defines future-state architectures ahead of the market.</li><li>Innovation Catalyst: Creates an environment where breakthrough ideas are generated, tested, and scaled.</li><li>Strategic Connector: Bridges customer roadmaps, internal capabilities, and ecosystem innovations into cohesive strategies.</li><li>Builder of Teams &amp; Culture: Attracts, develops, and retains top talent while fostering collaboration and accountability.</li><li>Decisive Change Agent: Operates effectively in ambiguity, making high-impact decisions with incomplete data.</li></ul> Requirements: <ul><li>15+ years of experience in semiconductor technology, including advanced packaging, front-end processing, or adjacent domains.</li><li>Demonstrated leadership in technology pathfinding, innovation strategy, or early-stage platform development.</li><li>Strong understanding of current advanced packaging technologies (D2W, RDL, CoWoS, TSV, etc), with the ability to think beyond existing paradigms.</li><li>Proven experience building and leading cross-functional or exploratory R&amp;D teams.</li><li>Ability to translate complex technology concepts into business impact and strategic direction.</li></ul>

Responsibilities: Disruptive Pathfinding &amp; Technology Development <ul><li>Drive long-range (N+2 and beyond) pathfinding exploration in advanced packaging, identifying key inflection points in interconnect scaling, materials, and integration architectures.</li><li>Lead hands-on development and feasibility studies for novel packaging concepts, including but not limited to D2W, RDL, CoWoS, TSV, and heterogeneous integration schemes.</li><li>Develop and validate new integration approaches (e.g., mixed interconnect architectures, advanced bumping strategies, next-gen substrates).</li><li>Perform deep technical analysis and trade-off assessments to guide design, process integration, and technology selection decisions.</li><li>Contribute to make/buy/partner evaluations through technical insights and benchmarking of emerging solutions.</li></ul> Technical Innovation &amp; Execution <ul><li>Own key technical modules or integration challenges within pathfinding programs, driving concept-to-demonstration execution.</li><li>Design and execute experiments, simulations, and test vehicles to validate new ideas and reduce technical risk.</li><li>Develop scaling frameworks and design–process co-optimization strategies to meet future performance, cost, and reliability requirements.</li><li>Translate innovative concepts into clear technical deliverables, including models, prototypes, and demonstration vehicles.</li><li>Document and communicate findings to influence technology roadmap decisions and downstream development programs.</li></ul> Customer &amp; Market Alignment <ul><li>Engage with internal and external stakeholders to translate customer requirements and system trends (AI, HPC, memory integration, chiplets) into actionable technical problems.</li><li>Identify latent technical challenges and gaps in current packaging approaches and propose novel solutions.</li><li>Contribute to value proposition development by linking technical innovation to performance, cost, and scalability benefits.</li></ul> Ecosystem Collaboration <ul><li>Work closely with materials suppliers, equipment teams, OSATs, foundries, and research partners to co-develop and validate new technologies.</li><li>Support joint development efforts and early-stage collaborations, contributing technical expertise and insights.</li><li>Leverage ecosystem capabilities to accelerate learning cycles and de-risk new concepts.</li></ul> Program Contribution &amp; Technical Leadership <ul><li>Contribute to early-stage governance and decision frameworks by providing data-driven technical recommendations.</li><li>Influence cross-functional teams (process, product, integration) to align on technology direction and development priorities.</li><li>Develop executive-ready technical narratives that clearly articulate innovation value, risks, and trade-offs.</li><li>Mentor junior engineers and contribute to building technical depth and innovation culture within the team.</li></ul> Leadership Expectations <ul><li>Deep Technical Expert: Recognized for strong domain expertise in advanced packaging and integration.</li><li>Innovation Driver: Generates and executes breakthrough ideas with measurable technical impact.</li><li>Influencer: Drives alignment and decisions across teams without formal authority.</li><li>Problem Solver: Thrives in ambiguity, breaking down complex challenges into actionable solutions.</li><li>Collaborator: Effectively works across organizational and ecosystem boundaries.</li></ul> Requirements: <ul><li>10–15+ years of experience in semiconductor technology, with strong exposure to advanced packaging, process integration, or related domains.</li><li>Demonstrated experience in technology development, pathfinding, or exploratory R&amp;D.</li><li>Strong understanding of advanced packaging technologies (RDL, TSV, CoWoS, hybrid bonding, etc.).</li><li>Proven ability to solve complex technical problems and translate concepts into experimental validation.</li><li>Strong communication skills to articulate technical insights and business relevance.</li></ul>

Responsibilities: <ul><li>Lead the design and architect solutions that meet SYF business requirements to deliver business value by enabling rapid innovation through modern software development practices and product delivery through rapid innovation and continuous integration. In-depth knowledge of credit application and web application platforms.</li><li>Perform Technology Alternate Assessment, create Proof-of-Concept (as necessary) Provides guidance and direction to product teams to ensure compliance with the standards and best practices Work collaboratively with Product Management and Platform Engineering teams during development, launch and continuing refinement of products iteratively</li><li>Lead Agile sprints as the technical expert, including sprint planning, daily standups, backlog grooming sessions, and sprint reviews Influence and collaborate with software developers, UX designers, product managers, application architects, and customer application experts to create high performing and reliable application components.</li><li>Work with third party vendors to develop software and/or integrate their software into the companys products</li><li>Drive a CI/CD strategy using our Jenkins, Bitbucket, and uDeploy stack.</li><li>Maintain deep hands-on technical knowledge of evaluating trends in modern software development practices.</li></ul> Requirements: <ul><li>Bachelor’s degree and a minimum 7 years of experience with software engineering OR, in lieu of degree 9 years of experience with software engineering.</li><li>5+ years of applied Java experience</li><li>5+ years of hands-on experience in Credit Card Acquisition platform with ample knowledge in credit card application processing and decisioning systems.</li><li>Experience in Front End UI (JavaScript/Typescript) development and Backend Java programming.</li><li>Critical Thinking, creativity and problem-solving skills.</li><li>Strong analytical and problem-solving skills.</li><li>Excellence in technical communication with technical and non-technical peers.</li><li>Basic understanding of Artificial Intelligence.</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>Oversee and execute end to end control assurance activities for all sub functions within Information Security</li><li>Formalize, Pilot and execute first line of defence (1LOD) assessments for Information Security to proactively identify risks to the business</li><li>Lead the client assessments program by liaising with internal client partners to ensure is meeting client expectations for Information Security Assessments and Audits</li><li>Collaborate with Sourcing and Legal teams to review third-party supplier contracts, ensuring contractual terms align with the defined scope of services and comply with applicable regulatory requirements and governance frameworks</li><li>Support execution of FedLine and other assessments by working with internal SMEs, Second and Third Line of defense teams</li><li>Support renewal of Cyber Insurance for the organization by working with insurance brokers and key internal stakeholders</li><li>Develop Financial Security Assurance specific security standards and procedures</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Engineering or related field, with a minimum of 10+ years of experience in Information Security OR in lieu of the Bachelors degree, a minimum of 12+ years of experience in Information Security.</li><li>8+ years of progressive experience in information security, technology risk, security controls assurance, or audit, including 5+ years leading teams.</li><li>Good understanding of IS Risk Management Concepts</li><li>Strong working knowledge of IT related US Banking regulations &amp; industry best practices (NIST, PCI DSS, HIPAA, CRI etc.)</li><li>Demonstrated experience designing and executing control testing/assurance programs across multiple security domains</li><li>Exposure to working with external attack surface monitoring tools to partner with internal stakeholders to remediate external risk exposure to the organization</li><li>Proven ability to influence and partner across Information Security, Technology, Risk, Compliance, and Audit functions</li><li>Excellent executive communication skills—able to synthesize complex findings into clear, actionable insights.</li><li>Excellent interpersonal skills with ability to influence team members, management &amp; external groups</li><li>Self-motivated &amp; able to work independently or in a team environment &amp; work with virtual teams</li></ul>

Responsibilities: <ul><li>Lead end-to-end delivery of technical projects across cloud, AI, data, and enterprise platforms.</li><li>Collaborate with cross-functional teams including developers, architects, DevOps, and product managers.</li><li>Define project scope, timelines, resource plans, and delivery milestones.</li><li>Manage risks, dependencies, and change requests throughout the project lifecycle.</li><li>Ensure technical solutions meet business requirements and quality standards.</li><li>Facilitate agile ceremonies, sprint planning, and retrospectives.</li><li>Track progress using tools like Jira, Confluence, or Azure DevOps.</li><li>Communicate status updates and delivery metrics to stakeholders and leadership.</li><li>Support onboarding and coordination of external vendors or offshore teams..</li></ul> Requirements: <ul><li>Proven experience in technical project or delivery management</li><li>Strong understanding of software development lifecycle (SDLC) and DevOps practices.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and modern infrastructure.</li><li>Excellent communication, stakeholder management, and problem-solving skills.</li><li>Experience with agile methodologies (Scrum, Kanban) and project tracking tools.</li><li>Ability to manage multiple projects and priorities in a fast-paced environment.</li><li>Experience with AI/ML, data platforms.</li><li>Certifications such as PMP, Scrum Master, or AWS/Azure Cloud Practitioner.</li><li>Exposure to hybrid cloud/on-prem environments and security/compliance frameworks.</li></ul>

Responsibilities: <ul><li>Continuously monitor security consoles and dashboards (SIEM, EDR, etc.) for suspicious activity; triage alerts to identify valid security incidents versus false positives and prioritize response based on asset criticality and business risk.</li><li>Investigate suspicious activities and security events, determine the scope and severity of incidents, and gather relevant evidence. Perform root cause analysis to identify attack vectors and affected systems.</li><li>Execute incident response actions end-to-end – including timely containment of threats, eradication of malicious artifacts, and system recovery – following the organization’s incident response plan. Coordinate with IT infrastructure, application owners, and other stakeholders to ensure effective remediation of incidents.</li><li>Proactively hunt for indicators of compromise and hidden threats in logs, network traffic, and endpoint telemetry, even without specific alerts. Use hypothesis-driven techniques and knowledge of attacker TTPs to uncover stealthy or emerging threats that evaded initial detection.</li><li>Continuously tune SIEM/EDR detection rules, thresholds, and SOAR playbooks—automating repetitive response actions to reduce false positives and accelerate containment</li><li>Leverage internal and external threat intelligence sources to enrich analysis and response. Stay updated on new vulnerabilities and adversary tactics; incorporate this knowledge to adjust monitoring rules and incident response strategies. Map observed malicious activities to frameworks like MITRE ATT&amp;CK for reporting and analysis.</li><li>Work closely with global SOC team members and escalate complex incidents to senior analysts or incident response leads when necessary. Collaborate with colleagues in other regions to ensure seamless coverage and knowledge sharing across the security team.</li><li>Document investigation steps, findings, and actions taken for each incident in a clear and concise manner. Prepare incident reports and contribute to post-incident review meetings, highlighting what occurred, how it was resolved, and recommendations to prevent future occurrences.</li><li>Assist in developing and updating incident response playbooks, standard operating procedures, and knowledge base documentation. Provide feedback and suggestions to improve security monitoring tools, analytics content (detection rules), and workflow automation (SOAR playbooks) for greater efficiency and effectiveness.</li><li>Share insights from incidents and trending threats with the broader team to enhance overall awareness. Mentor and guide junior analysts (Tier 1 SOC analysts) by sharing analysis techniques and best practices, elevating the team’s collective skill level.</li></ul> Requirements: <ul><li>Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or equivalent threat management &amp; incident response experience</li><li>Currently hold cybersecurity certifications such as GCIH, GCFA, GCIA, CEH, others</li><li>With 3 years or more, progressive experience in at least two of the following disciplines:</li><li>Threat Detection &amp; Analysis (leveraging SIEM tools, IDS/IPS, endpoint detection, log analysis, etc.)</li><li>Incident Response &amp; Management (developing response plans, executing playbooks, forensic investigations, root cause analysis)</li><li>Threat Hunting (identifying undetected threats through proactive analysis and hypothesis-driven investigation)</li><li>Cyber Threat Intelligence (gathering and analyzing threat intelligence to inform detection capabilities and preventive measures)</li><li>Network Security (TCP/IP protocols, firewalls, intrusion prevention systems, and network traffic analysis)</li><li>Securing and monitoring operating system and cloud environments (AWS, Azure, GCP), including analyzing cloud service logs and configurations for suspicious activities, and understanding cloud-native security controls and best practices</li><li>Demonstrated ability to:</li><li>Function as a Level 2 or 3 SOC Analyst (analyzing and responding to cybersecurity incidents)</li><li>Preferred Experience:</li><li>Experience with SOAR tools and some proficiency in scripting languages (e.g., Python, PowerShell) to automate repetitive tasks and streamline incident response workflows</li><li>Advanced understanding of emerging threats, zero-day vulnerabilities, and common attack vectors (phishing, malware, ransomware, lateral movement) with the ability to ensure rapid detection and response</li><li>Hands-on experience using SIEM and EDR platforms for centralized log analysis, real-time threat monitoring, and in-depth incident investigations</li><li>In-depth knowledge of the incident response lifecycle</li><li>Proven ability to conduct proactive threat hunting operations, leveraging the MITRE ATT&amp;CK framework to map adversary tactics, techniques, and procedures (TTPs), uncover stealthy threats, and close gaps in detection coverage</li><li>Familiarity with cyber threat intelligence feeds and standards (e.g., STIX, TAXII), incorporating IOCs (Indicators of Compromise) and threat intel data into monitoring and investigations to enrich context and anticipate emerging threats</li><li>Understanding of key security frameworks and regulations (e.g., NIST CSF, ISO 27001, GDPR) and the ability to align threat detection and incident response processes with organizational policies and compliance requirements</li><li>Effective at coordinating with cross-functional teams (IT, DevOps, Business, etc.) during high-impact incidents and translating complex technical findings into clear, actionable insights for executive and non-technical stakeholders</li></ul>

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97 deep learning frameworks Jobs found

Regional Manager – South India

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Director, Advanced Packaging Disruptive Technology

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

VP, IS Risk - Assurance

Enterprise Analytics (AI) – TDM - Transformation Lead

Senior Analyst, Threat Detection and Response

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97 deep learning frameworks Jobs found

Regional Manager – South India

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Director, Advanced Packaging Disruptive Technology

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

VP, IS Risk - Assurance

Enterprise Analytics (AI) – TDM - Transformation Lead

Senior Analyst, Threat Detection and Response

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