Project Planning: Develop comprehensive project plans outlining project scope, objectives, deliverables, timelines, resources, and budgets. Resource Management: Allocate resources effectively to ensure project tasks are completed efficiently and within budget.
Risk Management: Identify potential risks and develop mitigation strategies to minimize project disruptions.
Stakeholder Communication: Serve as the primary point of contact for stakeholders, providing regular updates on project progress, milestones, and potential issues.
Team Leadership: Lead and motivate cross-functional project teams, fostering collaboration and ensuring accountability.
Quality Assurance: Implement quality assurance processes to ensure that deliverables meet client requirements and industry standards.
Budget Tracking: Monitor project budgets and expenditures, making adjustments as necessary to ensure financial targets are met.
Change Management: Manage changes to project scope, schedule, and costs, ensuring that stakeholders are informed and aligned.
Documentation: Maintain accurate project documentation, including project plans, status reports, meeting minutes, and risk registers.
Client Relationship Management: Build and maintain strong relationships with clients, understanding their needs and expectations to deliver successful outcome
Qualifications:
Bachelor’s/Master's degree in Computer Science, Engineering, Business Administration, or a related field.
Proven experience as a Project Manager in a software development environment.
Strong understanding of software development methodologies, such as Agile, Scrum, and Waterfall.
Excellent leadership, communication, and interpersonal skills.
Solid organizational and time management abilities, with a keen attention to detail.
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities simultaneously.
Certification in project management (e.g., PMP) is a plus.
Pre-Sales Engineer (System Integration)
Job description
Collaborate with the sales team to understand customer requirements and provide tailored technical solutions.
Design and propose IT infrastructure, network architecture, HCI, and cybersecurity solutions that align with client needs and industry best practices.
Conduct product demonstrations, technical presentations, and Proof of Concepts (POC) to clients.
Prepare and deliver detailed technical proposals, including cost estimations and solution benefits.
Support sales in responding to RFPs, RFIs, and tenders by preparing accurate technical documentation.
Stay up to date with the latest technologies in IT infrastructure, networking, HCI, and cybersecurity to provide innovative solutions.
Build and maintain strong relationships with clients and technology partners.
Provide post-sales technical support to ensure successful project implementation.
Qualification
Bachelor’s degree in Computer Science, Information Technology, or a related field.
At least 3 years of experience in pre-sales or a similar technical role.
Proven track record in IT infrastructure, network systems, DR, Backup, HCI, and cybersecurity solutions.
Expertise in network design and architecture (LAN/WAN, SD-WAN, firewalls, and routing protocols).
Experience with hyper-converged infrastructure (HCI) platforms (e.g., VMware, Nutanix,Sangfor,Proxmox).
Familiarity with cybersecurity frameworks, tools, and practices.
Industry certifications such as CCNA, CCNP, VCP, Nutanix Certified Professional, or CISSP are highly preferred.
Excellent presentation and communication skills.
Strong problem-solving and analytical abilities.
Ability to work collaboratively in a team-oriented environment.
Proficiency in English both written and speaking is preferred.
Lead / Senior AI Engineer
Responsibilities:
Design, build, and deploy scalable AI systems for enterprise and AI-driven products, including Machine Learning, Computer Vision, Generative AI, and AI Agent platforms
Develop production-ready AI services, APIs, and AI serving pipelines, optimizing performance, latency, and cost efficiency
Design and build AI agents from single-purpose to multi-step, tool-using systems with the right balance of autonomy, guardrails, and human-in-the-loop
Integrate machine learning and generative AI models into applications via APIs and microservices
Deploy and scale AI workloads on cloud platforms and on-premise GPU infrastructure
Lead the AI projects and provide technical guidance to junior engineers and other team members to deliver high-quality solutions
Stay up to date with emerging AI/ML frameworks, techniques, and tooling.
Qualifications:
Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, or related fields
At least 5 years of experience developing and deploying AI/machine learning systems in production environments
Strong programming skills in Python and experience with frameworks such as PyTorch or TensorFlow
Hands-on experience with AI pipelines, model serving, MLOps workflows, and cloud platforms
Experience with Generative AI, NLP, Computer Vision, APIs, microservices, and containerization
Experience with LLM orchestration frameworks such as LangChain or LangGraph, and agentic system design
Experience building RAG pipelines and working with vector databases
Familiarity with model serving tools such as vLLM or Ollama, and deploying on GPU infrastructure and Linux environments
Experience with MongoDB, Redis, and FastAPI in production AI services Familiarity with gRPC and message queue systems e.g., Kafka, RabbitMQ, or Redis Streams for building scalable AI service communication
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
DevOps Engineer
Job Description
Knowledge and experience with Linux
Solid understanding of storage, virtualization, or applications that require storage
Experience in large scale server architectures
Experience in Shell/Python Scripting
Exceptional customer management, presentation and communication skills
Ability to be on-call periodically to handle support issues after business hours
Qualification
Hands-on DevOps experience Kubernetes (MUST HAVE) On-premise experience is a plus
Experience setting up CI/CD pipelines, (Jenkins ,Gitlab ,Helm
Supporting container-based infrastructure, and monolith