Need an Immediate Joiner!! Position: Senior Systems Engineer(CrowdStrike) Location: Remote Duration: Fulltime Hire (40 hours per week) Multi Year Contract This role is going to be WFH, flexible working hours. Job Description: Server Remediation Static code analysis Vulnerability Management for Software Development SONARQube for Security testing. Automation: IAAC/IAAS This position will be operations-focused, directly supporting IT teams with vulnerability remediation, coordination, tracking mitigation efforts, managing security exceptions, and providing management reporting. Specifically looking for a consultant or technical specialist who will handle end-to-end vulnerability management across our critical IT applications and infrastructure. Key responsibilities include: Analysing scan results, assessing exploitability, and prioritizing remediation based on criticality, CVSS scores, and business impact. Collaborating with IT, DevOps, SME’s and system owners to validate and verify remediation efforts. Developing and maintaining dashboards and reports to track remediation progress for management updates. Assisting with patch validation, system hardening, and misconfiguration remediation. Maintaining and improving vulnerability management policies and procedures. Required qualifications: Atleast 3+ years of experience in vulnerability management or related cybersecurity role. Proficiency with vulnerability scanning tools (e.g., Nessus, Qualys, CrowdStrike) . Strong understanding of cloud environments (AWS, Azure, GCP). Experience with scripting languages like Python or PowerShell.
We are looking for AI/GenAI Developer with very strong knowledge in Python, AI/GenAI . Should have experience in building RAG pipelines with various LLM's . Having knowledge in Microsoft Copilot studio is an advantage. Position: AI/GenAI Developer Location: Remote/Offshore Type: Fulltime (40 hours per week) Duration: 12+ Months Need an Immediate Joiner! Requirements: 5+ years of experience in AI/ML architecture, with at least 3 years focused on enterprise-level projects Deep understanding of GenAI technologies, including LLMs, diffusion models, and transformer architectures Extensive experience with enterprise integration patterns, APIs, and middleware solutions Proficiency in cloud platforms (AWS, Azure, or GCP) and their AI/ML offerings Strong programming skills in Python. Experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face Familiarity with DevOps and MLOps practices for AI model deployment and management Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders Knowledge of data privacy regulations and AI ethics Experience with graph databases and knowledge graphs for AI applications