Netwoven seeks a highly skilled and innovative Senior Architect - AI/ML to lead our AI/ML initiatives and strengthen our Centre of Excellence (CoE). As a key member of the leadership team, you will drive innovation in AI/ML solutions, provide thought leadership, and support our delivery teams in executing groundbreaking projects. You will play a crucial role in developing and documenting AI/ML use cases across various industries and collaborating with our Sales team to present these solutions to prospective and existing customers. Key Responsibilities: Lead Innovation in AI/ML Solutions: Spearhead efforts to design and develop innovative AI/ML-driven solutions for our clients across various industries. Strengthen CoE: Strengthen and mentor the existing AI/ML CoE team, fostering a culture of innovation and technical excellence. Solution Design & Development: Collaborate closely with delivery teams, offering ground-level design and technical support to ensure seamless solution deployment. Thought Leadership: Provide industry thought leadership in the AI/ML space, researching new technologies, trends, and best practices. Document Use Cases: Develop and document AI/ML solution ideas for industry-specific use cases, ensuring clarity and practicality. Sales Collaboration: Work with the Sales team to present AI/ML use cases and solutions to both prospective and existing customers, helping drive business development. Stakeholder Engagement: Serve as a trusted advisor to internal and external stakeholders, ensuring alignment of AI/ML initiatives with business goals. Required Skills and Experience: 15+ years of experience in software design and development, with a minimum of 4+ years dedicated to AI/ML technologies in a senior or leadership role in solution design and architecture. Proven experience in designing, developing, and deploying AI/ML models and solutions in real-world scenarios across various industries. Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, etc.), NLP, deep learning, and computer vision technologies. Expertise in Generative AI and Large Language Models (LLMs) with hands-on experience in developing and fine-tuning models for real-world applications. Experience in data analysis, data security, and ensuring privacy in AI/ML solutions, with a strong understanding of the regulatory landscape. Solid understanding of industry use cases and trends in AI/ML, with the ability to identify new opportunities for AI-driven innovation. Experience in leading innovation teams and mentoring technical talent in AI/ML domains. • Excellent communication skills with the ability to clearly articulate complex technical concepts and solutions to both technical and non-technical audiences. Proven track record of working with sales teams to develop customer-focused AI/ML solutions and present them effectively to customers. Proficient in cloud platforms (AWS, Azure, GCP) for AI/ML deployment and scaling. Strong problem-solving abilities, with a passion for using AI/ML to solve complex business challenges. Education: Bachelors degree in computer science, Data Science, Artificial Intelligence, or a related field. A master's or Ph.D. in AI/ML or related domains is highly preferred Preferred : Bachelors degree in computer science, Data Science, Artificial Intelligence, or a related field. Experience working in a consulting or customer-facing role A master's or Ph.D. in AI/ML or related domains is highly preferred Certifications in AI/ML technologies or cloud platforms (AWS/Azure/GCP). Experience with MLOps and implementing AI/ML pipelines in production environments. Experience with AI-driven innovation in verticals such as manufacturing, retail, healthcare, etc

Job Summary: We are seeking a highly skilled and motivated SOC Analyst / Detection Engineer to join our Security Operations Center. This role requires expertise in developing advanced KQL and Splunk queries, detection engineering, and incident response within complex enterprise environments. The ideal candidate will bring hands-on experience with SIEM, EDR, cloud security, incident playbooks, and OSINT tools, while also showing a passion for mentoring junior team members. Key Responsibilities: Develop and fine-tune detection rules and analytics using KQL (Microsoft Sentinel) and SPL (Splunk). Lead threat hunting activities leveraging EDR telemetry, SIEM logs, and threat intelligence sources. Design and implement detections based on behavioral patterns and MITRE ATT&CK mappings. Investigate security alerts and incidents, triage threats, and provide detailed incident reports and root cause analysis. Build and maintain incident response playbooks, SOPs, and runbooks to streamline SOC operations. Collaborate with internal teams to continuously improve detection logic and incident workflows. Mentor and train junior analysts, promote knowledge sharing, and support SOC skill development. Develop integrations and use cases with various log sources from on-prem, cloud, and hybrid environments. Utilize OSINT tools and frameworks (e.g., VirusTotal, Shodan, Censys, MISP, AbuseIPDB, Whois, etc.) during threat investigation and enrichment. Drive automation and orchestration where applicable using SOAR technologies. Stay up to date on threat intelligence, emerging tactics, techniques, and procedures (TTPs). Technical Skill Requirements: Detection Engineering: Strong expertise in writing detection queries (KQL/SPL), developing use cases, and tuning alerts. SIEM: Hands-on experience with Microsoft Sentinel and Splunk (Enterprise Security). EDR/XDR: CrowdStrike Falcon, Microsoft Defender for Endpoint. Cloud Security: Security monitoring in Azure, AWS, and GCP. Microsoft 365 Security: Defender for Office 365, Entra ID (Azure AD), Purview (compliance). Web Security Filtering: Experience or knowledge of Zscaler and similar solutions. Incident Response: Playbook development, SOPs, runbook creation, triage, and remediation. OSINT Tools: Practical usage of VirusTotal, URLScan.io, MISP, Shodan, Censys, GreyNoise, AbuseIPDB, Whois, etc. Log Analysis: Deep understanding of log formats from servers, network devices, cloud services, and applications. Automation/SOAR: Familiarity with automation frameworks (Logic Apps, Sentinel Playbooks, Splunk SOAR) is a plus. Scripting: PowerShell, Python, or equivalent scripting for enrichment and automation. Additional Expectations: Willingness to mentor and train junior SOC team members. Ability to work independently in a fast-paced SOC environment. Excellent analytical, communication, and problem-solving skills. Strong attention to detail and a proactive security mindset. Preferred Certifications (Nice to Have): SC-200: Microsoft Security Operations Analyst Splunk Core/Enterprise Security certifications CrowdStrike CCFR / CCFH Zscaler ZCCA/ZCCP Azure/AWS/GCP security certifications GIAC (GCIA, GCED, GCIH) or other relevant SANS certifications