Location: Bangalore/Mumbai/New DelhiExperience Required: 3+ years in Cloud SalesWe are seeking an experienced Government Sales Manager specializing in Cloud Sales to drive growth and manage relationships within the public sector. The ideal candidate will have a deep understanding of government procurement processes, the cloud technology landscape, and a proven ability to navigate complex sales cycles. You will be responsible for creating and executing strategies to secure new contracts and expand cloud services within government agencies. Key Responsibilities:• 3-5 years of experience in government sales with a focus on cloud services or technology.• New Business Acquisition: Identify and pursue cloud sales opportunities within government agencies, positioning cloud solutions to address the unique needs of public sector clients.• Government Account Management: Build and maintain strong relationships with government stakeholders, ensuring long-term partnerships and maximizing client satisfaction.• Government Procurement Navigation: Lead the sales process, from RFP responses and bid submissions to contract negotiations, ensuring compliance with government procurement regulations.• Sales Strategy Development: Create tailored sales strategies that align cloud offerings with the specific priorities and challenges of government clients, including cybersecurity, scalability, and compliance.• Collaborate with Internal Teams: Work closely with technical, legal, and operations teams to develop customized cloud solutions that meet government standards and drive value for clients.• Pipeline Management: Manage and grow the sales pipeline, ensuring a consistent flow of opportunities and accurate forecasting to achieve and exceed revenue targets.• Client Advocacy: Serve as the primary point of contact for government clients, resolving issues efficiently and fostering trust to ensure high retention and satisfaction.• Industry Expertise: Stay informed about government cloud initiatives, compliance requirements, and industry trends to effectively position cloud solutions.Why You Should Join Us:You'll have the opportunity to work with cutting-edge cloud solutions, helping partners unlock the full potential of our cloud technology. We believe in continuous growth, so even if you dont meet every qualification, we value your ability to learn and adapt. Our values-driven culture emphasizes integrity, collaboration, and respect, both in our partnerships and within our teams. We also provide ample opportunities for professional growth, with mentorship and development programs designed to support your career path. Plus, our leadership team is approachable and dedicated to your success in the cloud industry.

Job Title: AI Engineer Python. Location: Bangalore, India Onsite Job Summary: We are seeking an experienced AI Engineer with expertise in Python programming to design, develop, and deploy custom artificial intelligence (AI) applications on bare metal and privately deployed cloud platforms such as Red Hat OpenShift AI and VMware Cloud Foundation Private AI using NVIDIA Enterprise AI. The ideal candidate will have a strong background in Python software development, AI/ML frameworks, and model fine-tuning. Key Responsibilities: 1. AI Application Development & Deployment Design, develop, and deploy AI applications on bare metal and private cloud platforms (Red Hat OpenShift AI, VMware Cloud Foundation Private AI with NVIDIA Enterprise AI). Build scalable and high-performance AI solutions using Python. 2. Python Programming & Optimization Leverage advanced Python capabilities for AI applications, including: Optimized numerical computations (NumPy, SciPy) Concurrency and parallelism (multiprocessing, joblib) Advanced data structures and algorithms.3. AI/ML Frameworks & Model Fine-Tuning Apply expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Develop and fine-tune AI models using techniques such as transfer learning and hyperparameter tuning. 4. Generative AI & LLMs Work with open-source LLMs and frameworks like LangChain, LangGraph, and Agentic flows. 5. Custom Model Development Design and implement custom AI models from scratch using Python and popular AI/ML frameworks. 6. System Integration & API Development Integrate AI applications with existing systems, data sources, and APIs for seamless functionality. 7. Testing, Validation & Optimization Develop and execute testing strategies to ensure the quality, reliability, and performance of AI applications. 8. Documentation & Communication Create comprehensive technical documentation. Communicate project progress, results, and recommendations to stakeholders. Technical Skills: Strong proficiency in Python. AI/ML frameworks: TensorFlow, PyTorch, Scikit-Learn, NLP, Machine Learning, Deep Learning, Langchain, LangGraph, RAG, Fine-Tuning. Data science libraries: NumPy, SciPy, Pandas.