Vaes Jobs in Noida

Gen AI Engineer Location: Noida Experience: 2+ years Openings: 2 Roles & Responsibilities: Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models. Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance. Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques. Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics. Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining. Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications. Required Skills: 2+ years of hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB). Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering. Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization. Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining. Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads. Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.

UVM and GenAI Engineer - Automatic Testbench Generation Job Summary: We are seeking an experienced and skilled UVM and GenAI Engineer to join our team. The successful candidate will be responsible for developing innovative solutions using Generative AI to automatically generate testbenches for complex digital designs. The ideal candidate will have a strong background in UVM, digital design verification, and AI/ML. Key Responsibilities: Develop and implement Generative AI algorithms to automatically generate testbenches for digital designs. Collaborate with the design and verification teams to identify areas where AI-generated testbenches can improve verification efficiency and effectiveness. Design, develop, and maintain UVM-based testbenches for complex digital designs. Work with cross-functional teams to integrate AI-generated testbenches into the existing verification flow. Develop and maintain scripts and tools to automate the testbench generation process. Stay up-to-date with the latest developments in UVM, GenAI, and digital design verification. Participate in code reviews and contribute to the improvement of the team's verification methodologies. Requirements: Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field. 6+ years of experience in digital design verification, with a focus on UVM-based testbenches. Strong knowledge of UVM, SystemVerilog, and digital design principles. Experience with AI/ML frameworks and tools, such as PyTorch, TensorFlow, or Keras. Programming skills in languages such as Python, C++, or SystemVerilog. Experience with version control systems, such as Git. Strong problem-solving skills, with the ability to work independently and collaboratively. Nice to Have: Experience with Generative AI algorithms and techniques, such as GANs, VAEs, or Transformers. Knowledge of digital design languages, such as VHDL or Verilog. Experience with cloud-based AI platforms, such as AWS SageMaker or Google Cloud AI Platform. Familiarity with Agile development methodologies. What We Offer: Competitive salary and benefits package. Opportunity to work on cutting-edge AI technology and digital design verification. Collaborative and dynamic work environment. Professional development and growth opportunities. Flexible working hours and remote work options. If you are a motivated and talented individual with a passion for UVM, GenAI, and digital design verification, please submit your resume and a cover letter explaining why you are the ideal candidate for this role. Qualification : Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field.

Job Title: Key Account Manager Location: Noida Function: Airtel Business - Domestic Sales - Enterprise Business Experience: 2 to 6 years Employee Type: Full-time Job Purpose Manage end-to-end telecom and connectivity solutions for a portfolio of 30-35 enterprise accounts, primarily mid to large segment. Drive sales and revenue growth by promoting Data, Voice, VAS, and new product offerings, while ensuring customer satisfaction and retention. Key Responsibilities Build and maintain strategic relationships with key decision makers at multiple levels, including CXOs. Drive revenue growth within assigned accounts through effective account management, focusing on Data and Voice services. Promote solution selling and increase penetration of new products in emerging markets. Collaborate with internal teams (BSG, CE, Networks) and external partners/vendors to achieve business targets and ensure excellent service delivery. Meet business targets related to order booking, revenue generation, collections, new account acquisition, and churn control. Key Competencies Strong commercial acumen with the ability to drive profitable sales. Expertise in consultative selling tailored to enterprise clients. Customer service orientation with a focus on relationship management. Skilled in key account planning and management. Executive presence and confidence in handling CXO-level discussions. Solid understanding of enterprise and carrier telecom products. Excellent negotiation skills. Creative approach to attracting and engaging target customers. Persistent and proactive in following up on sales opportunities.